50+ AWS (Amazon Web Services) Jobs in India

Software Engineer I — Deliver (One2Team) Team

Hybrid (2 days/week onsite) | Full-Time | 3+ Years Experience

Planview is an enterprise software company focused on portfolio and work management, helping organizations plan, prioritize, and deliver work across strategy, teams, and technology.

Its product portfolio spans project and portfolio management (PPM), enterprise agile planning, product portfolio management, and work management tools — including offerings like AdaptiveWork, Planview PPM Pro, ProjectPlace, Planview Viz, and Deliver (One2Team), plus its ProjectAdvantage (formerly Sciforma) product for project and resource management.

The company serves a wide range of industries, from financial services to technology to government, helping large organizations connect strategy to execution and manage complex portfolios of projects, products, and resources.

About the Role

We're looking for a Software Engineer I to join our Deliver (One2Team) team. This is a backfill role on a product that blends legacy and modern technologies — a great opportunity to work across the full stack while helping shape what comes next, including new platform integrations, connectors, and AI-powered capabilities.

You'll work directly on customer-facing tickets and real-world product challenges, gaining hands-on exposure across our application and its technology stack from day one.

What You'll Work On

In your first six months, you'll get broad exposure to customer-facing development, platform integrations, cloud technologies, and AI — all within a single product. Beyond maintaining and enhancing the existing product, you'll help build and integrate new technologies as we expand our platform and connector ecosystem.

Must-Have Skills:

• Java 8+
• Kafka, MongoDB, Oracle, Cassandra, Elasticsearch
• Front-end: React/Angular and JavaScript

Nice-to-Have Skills:

• AWS Cloud

Experience

3+ years of professional software engineering experience, ideally with a background at a product-based company.

Growth Path

Over the next 1–2 years, you'll grow from handling customer-facing issues to owning complex technical problems and key product areas. You'll build expertise across legacy and modern technologies, platform integrations, cloud, and AI — with a path toward owning technical initiatives, contributing to architectural and product decisions, mentoring other engineers, and progressing toward a senior or technical

leadership role.

Team Culture

• Learning-focused
• Collaborative
• Customer-focused

Work Style & Logistics

• Hybrid: 2 days per week in the office (no shift work required)

Software Engineer II to join Planview’s Keyedin team.

Planview is an enterprise software company focused on portfolio and work management, helping organizations plan, prioritize, and deliver work across strategy, teams, and technology. Its product portfolio spans project and portfolio management (PPM), enterprise agile planning, product portfolio management, and work management tools — including offerings like AdaptiveWork, Planview PPM Pro, ProjectPlace, Planview Viz, and Deliver (One2Team), plus its ProjectAdvantage (formerly Sciforma) product for project and resource management. The company serves a wide range of industries, from financial services to technology to government, helping large organizations connect strategy to execution and manage complex portfolios of projects, products, and resources.

About the Role:

You’ll work on a product that combines legacy and modern technologies, contributing across the full stack while helping shape future platform integrations, connectors, and AI-powered capabilities. You’ll also work directly on customer-facing tickets and real-world product challenges, gaining hands-on exposure to the application and its technology stack from day one.

What You’ll Work On

• Customer-facing development and product enhancements
• Platform integrations and connector development
• Cloud technologies and AI-enabled capabilities
• Maintenance and modernization of existing product functionality
• Collaboration on new technologies as the platform evolves

Must-Have Skills

• C#/.NET, MVC, VB.NET, Web API, and Dapper
• Angular, HTML, CSS, and JavaScript/TypeScript
• Unit testing using NUnit, Jasmine, and Karma
• IIS
• SQL Server, including functions, stored procedures, and scheduled jobs
• Experience with AI coding tools such as Claude, GitHub Copilot, or similar

Nice-to-Have Skills

• Integration testing
• Azure DevOps
• Power BI
• Cloud platforms such as Azure or AWS

Growth Opportunity

Over the next 1–2 years, you’ll have the opportunity to progress from handling customer-facing issues to owning complex technical problems and key product areas. You’ll build expertise across legacy and modern technologies, integrations, cloud, and AI, with a path toward leading technical initiatives, contributing to architectural and product decisions, mentoring engineers, and progressing toward a senior or technical leadership role.

Team Culture and Work Style

The Keyedin team is learning-focused, collaborative, and customer-focused. This role follows a hybrid work model with two days per week in the office and no shift work.

If this opportunity aligns with your experience and career goals, please share your updated resume and let me know a convenient time to connect.

About the Team

SecurITe’s mission is to build an Agentic-AI driven security platform that protects critical infrastructure from modern cyber threats. Our focus is on delivering highly performant, resilient, and intelligent network security systems that help defenders stay ahead of adversaries.

About the Role

We’re looking for an exceptional Platform Engineer to help lead the development of our next-generation cybersecurity AI platform. This is a rare opportunity to shape how agentic AI transforms the future of cyber defense.

As a Platform Engineer, you will design, build, and operate the foundational infrastructure, deployment systems, and developer platforms that power our cybersecurity products across cloud and on-premise environments. You will work at the intersection of infrastructure engineering, cloud-native technologies, automation, reliability, and security to enable scalable and resilient product delivery.

You’ll collaborate closely with AI/ML, backend, security, QA, and product engineering teams to create self-service platforms, deployment pipelines, observability systems, and operational tooling that accelerate innovation while maintaining enterprise-grade reliability and security.

This role is ideal for Linux platform engineers and system specialists who excel at solving complex system challenges, automating wherever possible, and building resilient platforms that enable teams to move faster with confidence.

Why This Role Matters

Cybersecurity is undergoing a fundamental shift. AI is no longer an enhancement—it’s becoming the core engine of how detection, investigation, and response are executed. As our Platform Engineer, you will architect and build the infrastructure, automation, deployment, and operational systems that make this transformation real.

Your work will directly influence the scalability, reliability, and security of our AI-driven cybersecurity platform across both cloud and enterprise on-premise deployments. You’ll help establish the operational backbone that enables rapid innovation, secure product delivery, and resilient large-scale deployments in mission-critical environments.

This is a chance to solve novel technical challenges involving distributed systems, hybrid infrastructure, observability, automation, and secure software delivery while shaping how defenders outpace modern attackers.

What You’ll Do

●    Design, build, and own AWS infrastructure from the ground up (VPC architecture, EC2 fleet management, IAM, networking, security groups)

●    Administer and harden AlmaLinux VMs across production, staging, and dev environments

●    Build automation for provisioning, patching, and configuration management (infrastructure-as-code, config management tooling)

●    Design and implement observability: monitoring, logging, alerting, and on-call-worthy SLAs from scratch

●    Lead incident response — diagnosis, RCA, and post-incident documentation — with no dedicated ops team to escalate to

●    Make and document build-vs-buy and architecture decisions as the product and team scale

●    Work directly with founders/engineering to translate ambiguous asks into scoped technical plans

Impact You’ll Have

●    Accelerate engineering velocity through scalable developer platforms and automation

●    Improve deployment reliability, platform uptime, and operational efficiency

●    Enable secure and scalable AI-driven cybersecurity workloads

●    Reduce operational overhead through infrastructure automation and self-service systems

●    Help establish enterprise-grade cloud and on-premise deployment capabilities

●    Enhance product resiliency, observability, and operational excellence

●    Shape the long-term platform architecture powering next-generation cybersecurity products

●    Enable rapid and secure delivery of critical security innovations to customers

Required Experience

●    4+ years hands-on Linux administration (RHEL-family strongly preferred — AlmaLinux, CentOS, RHEL)

●    Deep Linux internals: systemd, networking, storage/LVM, process/resource management, kernel-level troubleshooting

●    Real AWS architecture experience — not just operating existing infra, but designing it (VPC, EC2, IAM, security groups, networking)

●    Demonstrated ability to scope and solve ambiguous problems independently, without a runbook or senior engineer to defer to

●    Scripting/automation proficiency (Python and/or Bash) beyond one-off scripts — built tooling that runs unattended

●    Track record of end-to-end ownership: has designed, built, and operated a system (not just contributed to one)

●    Clear, proactive communicator — documents decisions and explains reasoning without being asked

Required Skills & Qualifications

●    Strong Linux system administration and troubleshooting skills

●    Redhat certifications

●    Strong understanding of networking fundamentals, security, and distributed systems

●    Proficiency with Docker, and container orchestration

●    Experience with Terraform, Ansible, or similar infrastructure automation tools

●    Strong scripting or programming skills in Python, Bash, or Go

●    Knowledge of observability tools such as Prometheus, Grafana, ELK, or OpenTelemetry

●    Understanding of platform security best practices and secure infrastructure design

●    Familiarity with virtualization technologies and hybrid infrastructure environments

●    Strong problem-solving and debugging abilities

●    Excellent communication and collaboration skills

●    Ability to thrive in fast-paced startup environments

Nice to Have

●    Configuration management/automation at scale (Ansible, AWX, Terraform, or similar)

●    Monitoring/observability stack experience (Prometheus, Grafana, Zabbix, ELK, Datadog)

●    Container experience (Docker; Kubernetes a plus but not core to this VM-based stack)

●    Experience in a startup or small-team environment where infra was built from scratch

●    Security/compliance exposure (vulnerability remediation, hardening, SSO/access control)

The Mindset

Problem Solver

You thrive on complex, ambiguous challenges and engineer elegant solutions.

Ownership-Driven

You take initiative, move fast, and deliver outcomes without hand-holding.

Continuous Learner

You stay ahead of the curve in AI, ML, cloud-native technologies, and emerging infrastructure trends.

Startup DNA

You excel in fast-moving environments where priorities evolve and impact is immediate.

Key Responsibilities

• Design, develop, test & deploy scalable applications, APIs and features

• Contribute to architecture and distributed system design

• Develop high-quality, maintainable and well-tested code

• Improve system performance, reliability, monitoring and scalability

• Collaborate with Product, Design, Operations & Data teams

• Understand warehouse workflows and translate them into technical solutions

• Mentor junior engineers and contribute to engineering best practices

🔹 Required Skills

✅ 8+ years of software engineering experience

✅ Strong Full-Stack development experience

✅ TypeScript, Node.js, GraphQL & React

✅ AWS / Cloud experience

✅ Strong API & distributed systems experience

✅ Excellent debugging and problem-solving skills

Good to Have: Experience in Supply Chain, Logistics, Warehouse Management or Operations technology.

🛠️ Tech Stack: AWS | TypeScript | Node.js | GraphQL | React

DevOps & Cloud Security Specialist to architect enterprise-grade AWS networking, implement strict IAM security boundaries (HIPAA/GDPR compliance), automate infrastructure via IaC, and maintain crystal-clear technical documentation.

1. Primary Must-Have Competencies (Core Priorities)

A. AWS Networking & VPC Topology (Top Priority)

• Advanced VPC Architecture: Mastery in designing multi-VPC topologies, isolated subnets, custom Route Tables, NAT Gateways, Transit Gateways, and Cross-Region VPC Peering.
• Private Network Security: Extensive experience using VPC Endpoints (Gateway & Interface/PrivateLink) to keep internal AWS traffic completely off the public internet.
• Traffic Ingestion & Edge Security: Expertise in AWS WAF (custom rules, bot control, rate limiting), API Gateway throttling, ALB configuration, and Route 53 global routing.

B. AWS Security, IAM Architecture & Compliance

• Enterprise IAM Governance: Expertise in AWS Organizations, IAM Identity Center (SSO), Permission Boundaries, Service Control Policies (SCPs), and temporary role assumption across multi-account setups.
• Data Protection & Key Management: Deep knowledge of AWS KMS (customer-managed keys, envelope encryption at rest and in transit) and AWS Secrets Manager.
• Audit & Compliance: Setting up centralized logging pipelines (CloudTrail, GuardDuty, AWS Config, CloudWatch Audit Logs) for strict HIPAA/GDPR compliance.

C. Infrastructure as Code (IaC) & Containerization

• Terraform / AWS CDK: Must write production-grade, modular IaC templates from scratch—enforcing network topology and security guardrails directly in code.
• Container Orchestration: Hands-on setup and management of AWS ECS (Fargate) or EKS (Kubernetes) and automated CI/CD pipelines (GitHub Actions, GitLab CI).

D. Architecture Documentation & Systems Mapping

• Technical Documentation: Ability to author clean, standardized architecture diagrams (e.g., C4 model, Draw.io, Lucidchart) and maintain comprehensive runbooks, incident response plans, and compliance documentation.

2. Secondary Competency (Strong Advantage, Not Mandatory)

• Backend Software Development: Hands-on experience or a background in writing/debugging backend code in Node.js, Python, or Go.
• Note: The primary responsibility is cloud infrastructure, security, and automation. However, the ability to read backend code, debug API bottlenecks, or assist developers with microservice integrations is a major bonus.

Company Overview:

Planview is hiring a DevOps Engineer in Bengaluru, India to support Planview SaaS applications across the product line. You will work in a global, collaborative team — owning CI/CD pipelines, cloud infrastructure, and automation to keep deployments fast and systems reliable.

Responsibilities

• Build and maintain CI/CD pipelines in Jenkins for reliable, fast delivery.
• Manage containerized workloads on Docker and ECS — task definitions, services, and clusters.
• Provision and manage AWS infrastructure using Terraform (CloudFormation a plus).
• Automate configuration and deployment tasks using Python (Ansible a plus).
• Set up and maintain monitoring and alerting via New Relic (CloudWatch, Datadog, or Prometheus/Grafana a plus).
• Write Shell and Python scripts to automate operations and reduce manual work.
• Manage Git workflows — branching, merge strategies, and pull request reviews.
• Administer and support MSSQL databases underpinning the product line — backups, restores, and basic performance troubleshooting.
• Troubleshoot deployment, performance, and infrastructure issues with development teams.
• Participate in on-call rotations and drive incident response.
• Continuously improve infrastructure resilience and deployment speed.
• Apply AI-assisted engineering tools (e.g., GitHub Copilot, Claude Code) to speed up IaC authoring, pipeline debugging, and day-to-day scripting.

Qualifications

Must-Have Skills

• Experience: 4–6 years of experience in DevOps, SRE, or Infrastructure Engineering.
• OS: Linux & Windows administration (systemd, package management, log analysis).
• Cloud: AWS (Active Directory, ECS, EC2, CloudFront, S3, VPC, IAM, RDS, Lambda basics).
• Source Control: Git — branching, merge/rebase, PR reviews.
• CI/CD (Jenkins): Pipeline creation and basic Groovy scripting.
• Containerization (Docker + ECS): Task definitions, services, and clusters.
• IaC: Terraform.
• Monitoring: New Relic.
• Scripting: Bash and Python scripting for automation.
• Networking Basics: DNS, load balancers, security groups, VPNs.
• Logging: ELK stack / CloudWatch Logs.
• Database: MSSQL administration — backups, restores, basic performance troubleshooting.
• Infrastructure Automation: Hands-on experience automating infrastructure provisioning, configuration, and deployment end-to-end.
• AI-Assisted Engineering: Comfortable working with AI coding/DevOps assistants (e.g., GitHub Copilot, Claude Code) for IaC generation, scripting, and troubleshooting — verified via a mandatory AI proficiency assessment during interviews.

Nice-to-Have Skills

•     Configuration Management: Ansible.

•     Additional IaC: CloudFormation.

•     Architecture: Knowledge of microservices architecture.

•     Cloudflare: DNS, CDN, WAF.

•     Artifact Repositories: Nexus, JFrog Artifactory, ECR.

•     Other CI/CD Tools: GitHub Actions.

•     AWS cost optimization / FinOps awareness.

•     Datadog, CloudWatch, or Prometheus/Grafana.

•     AIOps: Exposure to AI-driven anomaly detection, root-cause analysis, or incident triage (e.g., Dynatrace Davis AI, Datadog Bits AI, Harness AIDA).

•     Database Basics: RDS backups, restores, performance tuning.

We are looking for a senior, hands-on DevOps and Backend Integration Engineer to lead the production deployment and integration of an existing application ecosystem.

The platform currently includes a Flutter mobile application, a Laravel backend and admin panel, Node.js/AdonisJS APIs, a Python recommendation service, Redis, MySQL, Nginx, and AWS S3.

This is not a greenfield development role. The primary objective is to audit the existing system, establish a reliable production infrastructure, integrate all services, migrate traffic safely, and complete the production launch.

Responsibilities

• Audit the existing Hostinger environment, source repositories, application dependencies, database, Redis configuration, and deployment process.

• Design a secure and maintainable production architecture for Laravel, Node.js/AdonisJS, Python, Redis, MySQL, Nginx, AWS S3, and the Flutter application.

• Provision and configure Linux production servers, runtimes, SSH access, environment variables, permissions, SSL, and basic server security.

• Deploy and configure the Laravel application, admin panel, APIs, scheduled tasks, queues, and database connectivity.

• Deploy the Node.js/AdonisJS services with a reliable build, startup, logging, and process-management setup.

• Build a Git-based CI/CD pipeline for staging and production, including secrets management, deployment validation, and basic rollback handling.

• Configure Nginx as a reverse proxy and route traffic between Laravel and Node.js services using API versions and endpoint rules.

• Install and integrate Redis for agreed caching, queue, or session-management requirements.

• Configure AWS S3, IAM permissions, secure file access, and photo-upload integration to replace local server storage.

• Integrate the existing Python recommendation service with the Node.js backend, including timeout, retry, error-handling, and service-health scenarios.

• Support controlled migration of API traffic from Laravel to Node.js while preserving existing API contracts.

• Verify Flutter API compatibility, production environment configuration, authentication flows, media uploads, and backend-related integration issues.

• Conduct end-to-end, regression, and smoke testing across Flutter, Nginx, Laravel, Node.js, Redis, Python, MySQL, and AWS S3.

• Perform production cutover, validation, troubleshooting, and technical handover.

• Deliver clear architecture, deployment, routing, environment, rollback, and operational documentation.

Required Experience

• 5+ years of professional backend, DevOps, infrastructure, or platform-engineering experience.

• Strong hands-on Linux server administration and production deployment experience.

• Proven experience deploying and operating Laravel/PHP and Node.js applications.

• Strong knowledge of Nginx reverse proxy configuration, SSL, upstream services, and API routing.

• Experience creating CI/CD pipelines using GitHub Actions, GitLab CI, Bitbucket Pipelines, or a comparable platform.

• Practical experience with AWS S3, IAM permissions, secure media uploads, and cloud-storage integration.

• Experience with Redis, MySQL, background workers, queues, scheduled jobs, and application caching.

• Experience integrating Python services or machine-learning/recommendation APIs with Node.js applications.

• Good understanding of REST APIs, API versioning, authentication, secrets management, logging, monitoring, backups, and rollback procedures.

• Ability to independently investigate an existing codebase and resolve production integration problems.

• Strong written English and the ability to produce clear technical documentation.

Nice to Have

• Experience with AdonisJS.

• Experience supporting Flutter applications and mobile backend integrations.

• Experience migrating applications from shared hosting or Hostinger to a production cloud server.

• Experience with Google Maps Platform or location-based application services.

• Docker experience is helpful, although Kubernetes is not required.

Expected Deliverables

• Documented production architecture.

• Fully configured production infrastructure.

• Working Laravel, Node.js/AdonisJS, Python, Redis, MySQL, Nginx, and AWS S3 integrations.

• Functional staging and production CI/CD workflows.

• Tested Laravel and Node.js coexistence with controlled API routing.

• Successful end-to-end production deployment.

• Rollback, deployment, configuration, and operational documentation.

Engagement Details

• Contract duration: approximately 4–5 weeks.

• Work arrangement: remote.

• Availability: candidates should be able to begin shortly and provide regular written progress updates.

• The current Node.js APIs and recommendation algorithm already exist. Major new product features, algorithm redesign, extensive Flutter feature development, and database redesign are outside the initial scope.

How to Apply

Please include:

1. Examples of Laravel and Node.js systems you have deployed to production.

2. Details of a CI/CD pipeline and Nginx routing setup you personally implemented.

3. Your experience integrating Redis, AWS S3, and Python services.

About the Role

We are hiring Staff / Principal Engineers to take full, hands-on ownership of Blitzy's most critical production-grade systems and to deliver high-leverage features that materially improve customer outcomes and engineering velocity. This is the most senior individual contributor role at the company today.

This is not a Senior-plus role, an architecture-only role, or a promotion-track role. We are looking for someone who has already operated at Principal / Staff+ scope in a highly technical environment and expects to spend their time writing, reviewing, and shipping production code.

This role is 100% hands-on. Leverage comes from system ownership, execution quality, and durable technical decisions — not people management or process.

Responsibilities

• Own mission-critical production systems end-to-end, ensuring correctness, scalability, performance, reliability, and operational excellence.
• Design, build, and ship high-impact backend systems and features that improve product reliability, performance, and customer value.
• Architect scalable services and cloud infrastructure using technologies such as Python, REST, gRPC, Kubernetes, and Terraform.
• Identify and resolve complex technical bottlenecks that limit engineering quality, system performance, or organizational velocity.
• Build and operate LLM-powered systems and validation loops that evaluate correctness, consistency, durability, and production performance.
• Design and evolve data architectures incorporating relational, NoSQL, graph, and vector databases to support complex enterprise applications and semantic retrieval.
• Modernize and improve complex enterprise systems while balancing reliability, maintainability, scalability, and delivery speed.
• Set and uphold engineering quality standards through hands-on technical leadership, sound technical judgment, and ownership of long-term technical decisions.

Qualifications

• Direct experience with Python as a primary programming language, backend frameworks, and microservices architectures.
• Expertise in REST and gRPC, with proficiency in Node.js and JavaScript.
• Proficiency in GCP, along with experience using at least one additional cloud platform such as AWS or Azure.
• Advanced knowledge of Kubernetes and Terraform in production environments.
• Experience operating highly available production systems, including monitoring, scalability, reliability, performance optimization, and operational tooling.
• Strong knowledge of SQL and NoSQL databases, including PostgreSQL, MySQL, MongoDB, Cassandra, or DynamoDB.
• Familiarity with graph databases such as Neo4j and vector databases or embedding infrastructure for semantic search and retrieval.
• Hands-on experience building and operating LLM-powered systems in production, including evaluation, validation, regression testing, tracing, and failure analysis.
• Working knowledge of LangSmith or comparable LLM observability and evaluation tools; familiarity with OpenAI, Anthropic, or similar model providers is a plus.
• Ability to contribute across the full stack, with a strong understanding of frontend architecture and the ability to debug, design, and ship across frontend, backend, infrastructure, and AI systems.
• Understanding of large-scale enterprise software systems, including architecture, integration, deployment, modernization, and long-term maintainability.
• Proven track record of operating at Staff+, Principal Engineer, or equivalent level, independently driving complex technical initiatives and delivering high-impact outcomes with minimal supervision.

Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into enterprise grade code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups.

Our Culture

Who we are:

Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500.

How we work:

• We move Blitzy Fast: Time is both our company’s and our clients’ most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.
• Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
• Passion for Invention: We’re pushing the frontier of what’s possible, requiring constant innovation and iteration.
• We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships.
• We believe in being ‘everyday athletes’: taking care of ourselves so we can bring our best minds to work. We promote great sleep, movement, and restorative activities for 

Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger.

Your Experience at a Glance

We’re hiring a Data Scientist for our client delivers advanced data, analytics, and digital transformation solutions to help organizations modernize and drive business insights.

As a Data Scientist, you will play a key role in developing and deploying demand forecasting and pricing models, leveraging advanced statistical and machine learning techniques. You will collaborate closely with data engineers and business stakeholders to extract, transform, and analyze large datasets, ensuring robust and scalable solutions. This position requires strong ownership of model development, from data pipeline integration to model evaluation and reporting. Your work will directly impact business decision-making and operational efficiency, contributing to KPIP’s mission of enabling data-driven transformation.

KPIP is a global consulting and technology services firm specialising in data, analytics, and digital transformation. Serving a diverse range of industries, KPIP empowers organisations to modernize their data ecosystems and unlock actionable business insights. The company is recognized for its expertise in delivering scalable solutions, fostering a culture of innovation, and driving measurable impact for clients worldwide.

Key Responsibilities

● Develop and implement demand forecasting and pricing models using advanced statistical and machine learning techniques.

● Extract, transform, and analyze large datasets using Python and SQL to support model development and business insights.

● Collaborate with data engineers to build and maintain robust, scalable data pipelines for model training and inference.

● Apply regression, classification, time-series forecasting, ensemble methods, and feature engineering to solve business problems.

● Work with business stakeholders to understand requirements and translate them into actionable data science solutions.

● Create automated reports and dashboards to present and track model outputs and performance.

● Continuously evaluate and improve model accuracy and effectiveness based on business feedback and new data.

● Document methodologies, processes, and results to ensure transparency and reproducibility.

● Stay updated with the latest advancements in data science and machine learning to drive innovation within the team.

Required Skills

● Proven experience in demand forecasting and predictive modeling.

● Strong proficiency in Python, including pandas, NumPy, scikit-learn, and TensorFlow or PyTorch.

● Expertise in SQL for data extraction and transformation.

● Solid understanding of statistical and machine learning techniques such as regression, classification, time-series forecasting, ensemble methods, and feature engineering.

● Ability to analyze and interpret large, complex datasets to generate actionable insights.

● Experience collaborating with data engineers to develop scalable data pipelines.

● Strong problem-solving skills and attention to detail.

● Excellent communication skills for presenting technical concepts to non-technical stakeholders.

Nice to Have

● Experience with customer segmentation, recommendation systems, and sentiment analysis.

● Knowledge of inventory optimization, promotion uplift modeling, and campaign analysis.

● Familiarity with churn prediction models.

● Proficiency in Power BI for creating automated reports and dashboards.

● Experience in developing and maintaining data pipelines for model training and inference.

Why Join?

Join to work on impactful data science projects that drive real business outcomes and innovation. You’ll tackle complex technical challenges, collaborate with talented professionals, and have opportunities for continuous learning and growth, fosters a culture of collaboration, excellence, and data-driven decision-making, empowering you to make a meaningful difference in a dynamic environment.

About the Employment Model

Direct Hire (Client Payroll) : For this role, you’ll be hired directly by the client and be part of their internal team. Straatix supports the hiring process, but your employment, payroll, and benefits are all managed by the client.

Job Title : SDE 3 – Infrastructure Platform Engineer

Experience : 5.5 to 8.5 Years

Number of Positions : 2

Employment Type : C2H (Contract to Hire)

Work Mode : Remote during contractual period → 5 Days WFO after conversion

Contract Duration : 3 Months

Post-Conversion Location : Pune

Notice Period : Immediate Joiners / Serving Notice Period / Up to 15 Days preferred

(Candidates officially serving a 30-day notice period may also be considered if they are on the bench and have a negotiable joining date)

Role Overview :

We are looking for an experienced SDE 3 – Infrastructure Platform Engineer to design, build, and operate scalable, secure, and highly reliable cloud infrastructure and internal platform capabilities.

The ideal candidate will have strong hands-on experience in Cloud Infrastructure, Infrastructure as Code (IaC), CI/CD, Docker, Kubernetes, automation, observability, networking, and distributed systems.

Mandatory Skills : AWS / Azure / GCP, Terraform / CloudFormation, Kubernetes, Docker, CI/CD, Platform / Infrastructure Engineering, Python / Go / Java / Ruby, Networking, Cloud Security, Distributed Systems, Scalability & Reliability, Strong Coding & Automation.

Key Responsibilities :

• Design and maintain scalable, highly available infrastructure on AWS / GCP / Azure.
• Build and manage Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools.
• Develop automation for infrastructure provisioning, deployments, monitoring, and operations.
• Manage and optimize Docker and Kubernetes workloads.
• Build internal platform tools to improve developer productivity and engineering efficiency.
• Implement monitoring, logging, alerting, and observability solutions.
• Participate in incident response, RCA, postmortems, and reliability improvements.
• Design and improve CI/CD pipelines and deployment automation.
• Contribute to system design, architecture discussions, scalability, security, and cost optimization.
• Collaborate with application, data, and product engineering teams.

Required Skills :

• 5.5 to 8.5 years of experience in Infrastructure / Platform Engineering or similar roles.
• Strong hands-on experience with AWS, GCP, or Azure.
• Strong expertise in Terraform / CloudFormation.
• Experience with CI/CD, Docker, and Kubernetes.
• Strong programming skills in at least one of:
• Python, Go, Java, or Ruby.
• Good understanding of networking, cloud security, distributed systems, scalability, and reliability.
• Experience working with production infrastructure and highly available systems.
• Strong troubleshooting and problem-solving skills.

Nice to Have :

• Experience with SRE practices and production on-call ownership.
• Experience in fintech, payments, banking, or transaction-heavy systems.
• Knowledge of cloud security, compliance, or FinOps/cost optimization.
• Experience building internal developer platforms or productivity tools.
• Previous product company experience.

Interview Process :

Round 1 : Take-Home Coding Assignment – Submit within 48 hours

Round 2 : Coding Assignment Discussion – 1 Hour

Round 3 : Technical Managerial Round – 30 Minutes

Note : The take-home coding assignment is mandatory. Candidates should be comfortable completing and submitting the assignment within 48 hours before proceeding.

Ideal Candidate :

Strong Platform / Infrastructure Engineer with hands-on experience in :

Cloud + Terraform / CloudFormation + Kubernetes + CI/CD + Programming + SRE / Production Operations

Pure DevOps profiles without strong coding and platform engineering experience are not preferred.

Technical Architect – Product Engineering

Experience: 15+ Years

Location: Pune, India

Employment Type: Full-time

Desired Skills: Python, Technical Architecture, AWS, Microservices, SaaS / Multi-tenant Architecture, Kubernetes, System Design

About the Role

We are looking for a Senior Technical Architect to lead the architecture, design, and technical evolution of an enterprise SaaS product. This is a hands-on leadership role requiring deep technical expertise, strong product engineering experience, and the ability to build scalable, secure, and high-performance platforms.

The ideal candidate should be passionate about solving complex engineering problems, driving innovation, mentoring development teams, and effectively leveraging AI to accelerate software development.

Key Responsibilities

• Own the overall product architecture and technical roadmap.
• Design and build scalable, secure, and highly available enterprise applications.
• Lead the design and implementation of new product features from concept to production.
• Remain hands-on with coding and contribute to critical product components.
• Drive architecture reviews, code quality, performance optimization, and engineering best practices.
• Lead cloud architecture, security, scalability, and DevOps initiatives.
• Evaluate and adopt modern technologies to improve product capabilities and engineering efficiency.
• Leverage AI tools (ChatGPT, GitHub Copilot, Cursor, Claude, etc.) to accelerate software development, code reviews, testing, documentation, debugging, and productivity.

Required Skills & Qualifications

• 15+ years of software product engineering experience with at least 5 years in a Technical Architect role.
• Strong hands-on expertise in Python and modern backend frameworks.
• Deep experience with AWS services and cloud-native application architecture.
• Strong understanding of DevOps, CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation), Docker, Kubernetes, and container orchestration.
• Experience designing microservices, REST APIs, event-driven architectures, and distributed systems.
• Strong knowledge of SQL and NoSQL databases.
• Experience with scalable SaaS platforms, multi-tenant architectures, and secure application design.
• Excellent understanding of software design patterns, performance tuning, observability, and system reliability.
• Strong analytical, problem-solving, and decision-making skills.

Full Stack Developer — Node.js & React

Experience: 4-5 years

Employment Type: Permanent, Full-time

Desired Skill: Node, React, AWS, Typescript, GraphQL APIs

Work Mode: Remote

Availability: Immediate Joiners

We are looking for a Full Stack Developer to implement functional features and resolve production support and on-call tickets. You will build GraphQL APIs, UI screens, and integrations based on defined requirements and designs.

Responsibilities

• Develop and maintain features using Node.js, TypeScript, React, and Next.js.
• Build GraphQL APIs, database integrations, and backend workflows.
• Investigate support issues, identify root causes, and deliver reliable fixes.
• Write automated tests and collaborate with product, design, and engineering teams.

Required skills

• Strong experience with Node.js, Express, TypeScript, React, GraphQL, and PostgreSQL.
• Strong analytical, troubleshooting, and debugging skills across frontend and backend systems.
• Familiarity with automated testing and AWS environments.

Our stack

React SPA (Vite), Next.js, MUI, React Router, urql, tRPC; PostGraphile, slonik, graphile-worker, Temporal; PostgreSQL and DynamoDB; Storybook, Vitest, Cypress; AWS and Terraform.

Job Title: Senior QA Automation Engineer (Healthcare

Data & Cloud)

Experience Level: 4–8 Years

Location: [Bangalore]

Tech Stack: Java, REST/SOAP, AWS, NEMSIS Standards

Role Overview

As a Senior QA Automation Engineer for our NEMSIS implementation, you will be responsible

for ensuring the seamless exchange of Emergency Medical Services (EMS) data. You will

design and execute sophisticated automation frameworks that handle both legacy SOAP

services and modern RESTful microservices, all hosted within an AWS ecosystem.

The role is not just checking UI applications but ensuring that life-critical data is accurate,

secure, and compliant with national standards.

Key Responsibilities

● Framework Development: Build and maintain scalable, Java-based automation

frameworks UI-Automation (TestNG), API and backend validation.

● Hybrid API Testing: Develop automated suites to validate both SOAP (XML-heavy) and

REST (JSON) endpoints.

● NEMSIS Compliance: Validate data against NEMSIS Schematron rules and XSDs to

ensure 100% compliance with EMS data standards.

● Cloud Integration: Leverage AWS services (e.g., Lambda, S3, CloudWatch) to

execute tests and monitor system health.

● Data Integrity: Perform deep-dive database testing and XML/JSON parsing to ensure

data remains uncorrupted across the pipeline.

● CI/CD Ownership: Integrate automated suites into Bitbucket CI pipelines for continuous

feedback.

Technical Qualifications

Category Requirements

Core Language Strong proficiency in Java (Collections, Exceptions, Multi-threading).

API Testing Advanced experience with RestAssured, SoapUI, or Postman for

automated API testing.

Data Formats Expert-level knowledge of XML, XSD, and JSON validation.

Cloud Hands-on experience testing applications hosted on AWS.

Tools Proficiency with Maven, Git, and Jira.

Job Title: Technical Delivery lead – Full stack

Experience:

·       12+ years overall

·       5+ years as Technical Delivery lead

Position Summary

We are looking for an experienced Technical Delivery Lead with 12+ years of software development experience to lead the design, development, integration, deployment, and support of enterprise digital solutions. The ideal candidate should have strong hands-on technical expertise and be capable of actively contributing to development by designing and implementing complex features, integrations, and critical business functionalities while leading the cross-function team.

Key Responsibilities

Technical Leadership

·      Lead end-to-end application delivery from requirements gathering through production deployment.

·      Define solution architecture, technical standards, and development best practices.

·      Conduct design reviews, code reviews, and technical discussions.

·      Mentor development teams and provide technical guidance.

·      Collaborate with business stakeholders, architects, product owners, and project managers.

Hands-on Development

·      Actively participate in application development and contribute code for complex and critical features.

·      Design and implement scalable solutions for high-priority business requirements.

·      Lead troubleshooting and resolution of complex technical and production issues.

·      Review and optimize application performance, security, and scalability.

·      Support development teams in resolving technical blockers and challenges.

Required Technical Skills

·      Sitecore XP/XM

·      OutSystems

·      Node.js, .NET Core, ASP.NET MVC, C#, Java

·      React.js, JavaScript, TypeScript

·      REST APIs, Microservices Architecture

·      SQL Server, Oracle, MySQL

·      Azure/AWS, CI/CD, Docker, Jenkins, Git

Candidate Profile

·      12+ years of software development experience.

·      5+ years of experience as Technical Delivery Lead or Solution Lead.

·      Strong hands-on coding experience with the ability to independently deliver complex technical solutions.

·      Experience leading Agile teams and managing end-to-end delivery.

·      Excellent stakeholder management and communication skills.

Key Phrase

Hands-on Technical delivery Lead who is expected to contribute 30-40% of the time in coding based on the availability, solution implementation, code reviews, and complex technical problem-solving.

Golang Developer

Experience: 6-8 years

Employment Type: Contractual, Full-time

Desired Skill: Golang, GRPC, RestAPIs, AWS

Work Mode: Pune, India

Availability: Immediate Joiners

This is the contractual opportunity on a full time basis.

Must have skills:

● 6+years of Software Development experience

● 5+years of GoLang programming; Prefers additional proficiency in either Java or Python

● Knowledgeable in writing REST APIs

● Comfortable programming in production grade systems

● Experience with building HTTP based services

● Strong background of optimizing performance

● Familiarity with event-driven systems

● Experience dealing with highly concurrent, distributed architectures/systems.

Good to have skills:

• Exposure to relational databases
• Experience with Cloud Providers such as AWS is an advantage; cloud privileged access (CIEM, IAM roles, ephemeral credentials)
• Experience using Terraform to manage infrastructure as code would be an advantage
• Hands-on experience building or extending Privileged Access Management (PAM) capabilities — credential vaulting, secrets management, password rotation, just-in-time / time-bound privileged access
• Working knowledge of privileged session management and session recording — session proxying/brokering, keystroke and video capture, session replay, live monitoring and termination, tamper-evident audit trails
• Familiarity with remote access protocols and gateways — SSH, RDP, HTTPS/web-based sessions; protocol proxying and man-in-the-middle session interception

Job Description

• Lead Ecommerce Solution Design and Development: Spearhead the design and development of scalable, secure, and high-performance solutions for our ecommerce platform using Java Spring Boot.
• Collaborate with Cross-Functional Teams: Work closely with product managers, UI/UX designers, and quality assurance teams to gather requirements and deliver exceptional ecommerce solutions.
• Architectural Oversight: Provide architectural oversight for ecommerce projects, ensuring they are scalable, maintainable, and aligned with industry best practices.
• Technical Leadership: Lead and mentor a team of Java developers, fostering a collaborative and innovative environment. Provide technical guidance and support to team members.
• Code Review and Quality Assurance: Conduct regular code reviews to maintain code quality, ensuring adherence to Java Spring Boot coding standards and best practices. Implement and promote quality assurance processes within the development lifecycle.
• Integration of Ecommerce Solutions: Oversee the seamless integration of ecommerce solutions with other business systems, ensuring a cohesive and efficient data flow.
• Payment Gateway Integration: Collaborate on the integration of payment gateways and other essential ecommerce functionalities.
• Stay Informed on Ecommerce Technologies:Stay abreast of the latest developments in ecommerce technologies, incorporating new features and improvements based on emerging trends.
• Client Interaction:
• Engage with clients to understand their ecommerce requirements, provide technical insights, and ensure the successful implementation of solutions.

Desired Skills:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 8 years of software development experience, with a significant focus on Java Spring Boot development and ecommerce platforms.
• Proven expertise in designing and developing ecommerce solutions using Java Spring Boot, with a deep understanding of the framework.
• Familiarity with ecommerce platforms, including payment gateways, inventory management, and order processing.
•  Strong proficiency in Java and Spring Boot technologies, with experience in microservices architecture.
• Java 8 or above latest version hands on
•  Microservices architecture, Spring boot REST hands-on (min 3 yrs experience mandatory)
•  Well versed with at least one cloud- AWS/GCP/Azure (min 2 yrs experience mandatory)
•  Kubernetes, Docker, Containerisation (Mandatory)
•  Kafka, RabbitMQ, etc
•  MySQL, MongoDB, PostgreSQL or any 1 RDBMS and 1 NoSQL DB hands on experience  
•  Experience with any in-memory caching mechanism like Redis. Hazelcast, etc
• Good understanding of DSA and their applications
• Excellent problem-solving skills, showcasing the ability to address complex challenges in ecommerce solution development.
• Strong communication skills to facilitate effective interactions with team members, clients, and other stakeholders.
• Experience working with Agile methodologies and advanced proficiency in version control systems.

Job Description:

• Infrastructure Management: Design, implement, and manage scalable, reliable, and secure cloud infrastructure using AWS, GCP, and/or Azure.
• CI/CD Pipelines: Develop and maintain continuous integration and continuous deployment (CI/CD) pipelines to streamline the development lifecycle.
• Automation: Automate infrastructure provisioning, configuration management, and application deployment processes.
• Monitoring and Performance: Implement monitoring, logging, and alerting solutions to ensure system health, performance, and reliability.
• Security: Ensure the security of cloud infrastructure and applications, including identity management and compliance with industry standards.
• Collaboration: Work closely with client and development teams to integrate DevOps practices and deliver high-quality software.
• Documentation: Maintain comprehensive documentation of infrastructure, configurations, and processes.
• Innovation: Stay current with emerging technologies and industry trends, integrating them into the DevOps strategy as appropriate.

Qualifications: 

• Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
• Experience: 7-9 years of overall experience with relevant experience of at least 5 years in DevOps and served as a lead or senior engineer.

About the Role

We are looking for a dynamic and customer-focused Presales Engineer – Cloud & AI to support our Cloud Transformation, Modernization, Managed Services, and AI/GenAI practices.

This role is pivotal in shaping technical solutions for prospective customers, driving value-based conversations, and bridging the gap between customer challenges and Comprinno's cloud and AI capabilities.

As a Presales Engineer – Cloud & AI, you will work closely with Sales, Solution Architects, Data & AI teams, and Delivery teams to understand customer requirements, design high-level solutions, and articulate how Comprinno's offerings can accelerate digital transformation and business outcomes.

This is a high-impact role that combines cloud solutioning, technical consulting, AI awareness, customer engagement, and presales excellence.

Key Responsibilities

Customer Discovery & Solutioning

• Engage with prospective customers to understand business objectives, technical challenges, and transformation goals.
• Conduct discovery workshops, assessments, and technical discussions to identify cloud and AI opportunities.
• Translate business requirements into high-level cloud and AI solution architectures.
• Collaborate with Solution Architects and technical teams to develop scalable and cost-effective solutions.

Cloud Transformation Consulting

• Support customer initiatives across:
• Cloud Migration
• Application Modernization
• DevOps Transformation
• Managed Services
• Security & Compliance
• Resilience & Disaster Recovery
• Conduct cloud assessments and migration readiness evaluations.
• Prepare cloud cost estimates, modernization roadmaps, and optimization recommendations.
• Leverage AWS programs and frameworks such as:
• Migration Acceleration Program (MAP)
• AWS Well-Architected Framework (WAFR)
• Foundational Technical Review (FTR)

AI & GenAI Solution Consulting

• Identify opportunities for AI, GenAI, and Agentic AI adoption within customer environments.
• Participate in AI discovery workshops and business value discussions.
• Support solution design for AI-powered applications leveraging AWS AI services.
• Collaborate with Data & AI teams to position analytics, machine learning, and Generative AI offerings.
• Assist customers in identifying suitable use cases for:
• Generative AI
• AI Assistants
• Knowledge Management Solutions
• Intelligent Automation
• Conversational AI

Proposal Development & Technical Presales

• Collaborate with Solution Architects to create:
• Technical Proposals
• Architecture Diagrams
• Effort Estimates
• Statements of Work (SOWs)
• Technical Responses to RFPs/RFIs
• Present solutions, recommendations, and technical approaches to customer stakeholders.
• Support Proof of Concepts (PoCs), demonstrations, and technical validations.
• Participate in technical reviews and solution walkthroughs.

Customer Engagement & Thought Leadership

• Attend customer meetings jointly with Sales teams to provide technical expertise.
• Build credibility and trust with customer technical and business stakeholders.
• Contribute to webinars, workshops, technical presentations, and customer-facing events.
• Write blogs, case studies, solution briefs, and technical content that supports business growth.
• Maintain an active presence in cloud and AI communities.

Collaboration & Knowledge Management

• Collaborate with Delivery teams to ensure smooth handover and alignment between presales and execution.
• Maintain reusable presales assets, templates, assessment frameworks, and knowledge repositories.
• Continuously stay updated on AWS services, AI advancements, partner programs, and emerging technology trends.
• Contribute to internal capability building and knowledge-sharing initiatives.

Travel & Customer Interaction

• Travel as required for customer meetings, workshops, assessments, events, and strategic engagements.
• Represent Comprinno professionally during all customer-facing interactions.

Required Qualifications & Skills

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 3–5 years of experience in Presales, Solution Consulting, Cloud Consulting, Technical Sales, or related customer-facing roles.
• Strong understanding of AWS cloud services across:
• Compute
• Networking
• Storage
• Security
• Databases
• Knowledge of cloud migration and modernization frameworks such as AWS MAP.
• Familiarity with AWS cloud assessment tools including Migration Evaluator and AWS Well-Architected Tool.
• Understanding of:
• Kubernetes
• Containerization
• Cloud-Native Architectures
• DevOps Practices
• Hands-on exposure to Infrastructure as Code using Terraform or CloudFormation.
• Ability to create:
• Solution Documents
• Architecture Diagrams
• Technical Proposals
• Effort Estimates
• Statements of Work
• Understanding of Generative AI concepts including:
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Assistants
• Agentic AI Concepts
• Familiarity with AWS AI services such as:
• Amazon Bedrock
• Amazon SageMaker
• Amazon Q
• AWS Solutions Architect – Professional Certification.
• Experience positioning AI, GenAI, Analytics, or Data Engineering solutions.
• Familiarity with AI frameworks such as:
• LangChain
• LangGraph
• CrewAI
• OpenAI APIs
• Anthropic APIs
• Strong communication, presentation, and stakeholder management skills.
• Experience conducting AI assessments, GenAI workshops, or AI proof-of-concepts.
• Experience contributing to webinars, blogs, case studies, or technical marketing content.
• AWS Solutions Architect – Associate Certification (Mandatory).
• Customer-centric mindset with strong problem-solving abilities.

Desired Qualifications & Skills

• AWS Specialty Certifications such as:
• Security Specialty
• Advanced Networking Specialty
• Machine Learning Specialty
• DevOps Engineer Professional
• Understanding of compliance frameworks such as:
• ISO 27001
• SOC 2
• HIPAA
• MBA or equivalent business qualification.
• Contributions to industry blogs, webinars, conferences, technical communities, or open-source initiatives.

What We're Looking For

• Strong consulting mindset with the ability to understand customer business challenges.
• Excellent communication and presentation skills.
• Ability to balance technical depth with business value articulation.
• Passion for cloud technologies, AI, and emerging innovation.
• Collaborative team player who can work across Sales, Architecture, Delivery, and Product teams.
• High ownership and accountability.
• Curiosity and continuous learning mindset.
• Willingness to travel and work from customer locations across India and internationally as required by project engagements.

What Success Looks Like

• Consistently contributes to qualified pipeline creation and deal progression.
• Produces high-quality proposals, architecture recommendations, assessments, and Statements of Work.
• Builds credibility with customers through strong technical consulting and solution design.
• Successfully supports closure of Migration, Modernization, Managed Services, Security, and AI opportunities.
• Develops reusable presales assets, assessment frameworks, and solution accelerators.
• Contributes to thought leadership through blogs, webinars, technical presentations, and customer-facing content.
• Continuously expands expertise in AWS, Cloud, AI, and emerging technologies.

Why Join Comprinno

• Work at the forefront of Cloud, AI, and AWS innovation with one of the leading AWS Partners in APJ.
• Be part of real transformation initiatives involving Migration, Modernization, DevOps, Security, Managed Services, and Generative AI.
• Collaborate directly with enterprise customers and influence strategic technology decisions.
• Accelerate your growth through AWS certifications, mentorship, and hands-on customer engagements.
• Contribute to innovative solutions including Tevico and future AI-powered offerings.
• Build thought leadership through webinars, blogs, events, and community participation.
• Join a collaborative, high-performance culture that values ownership, innovation, and continuous learning.

Job Description: Lead - Cloud Engineering (AWS / Azure)

Role Title: Lead - Cloud Engineering

Experience Level: 10+ Years

Domain Focus: Healthcare AI & Cloud Infrastructure

Location: Remote

Job Overview

We are seeking an experienced Lead - Cloud Engineering with over 10 years of IT experience to lead our cloud strategy, architecture, and infrastructure teams. In this role, you will oversee end-to-end cloud deployment, multi-cloud migration, and scalable architecture designed to support cutting-edge Generative AI applications in the healthcare technology domain.

The ideal candidate brings deep technical expertise in both AWS and Azure, strong hands-on capability in cloud infrastructure, and proven leadership experience driving security, compliance, and team growth.

Key Responsibilities

Cloud Architecture & Migration

• Lead the architecture, design, and execution of cloud migrations, deployments, and modernizations across AWS and Azure environments.
• Drive Infrastructure as Code (IaC) standards using Terraform, CloudFormation, or Bicep to ensure scalable, automated infrastructure provisioning.
• Build high-availability, low-latency architectures optimized for data-intensive Generative AI and Machine Learning workloads.

Security & Healthcare Compliance

• Enforce healthcare security standards including HIPAA, HITRUST, SOC 2, and data governance best practices across all cloud assets.
• Implement Zero-Trust security, Identity Access Management (IAM), data encryption key management, and continuous vulnerability monitoring.

Leadership & Team Management

• Manage, mentor, and scale a high-performing team of DevOps, Cloud, and SRE Engineers.
• Drive Agile workflows, sprint planning, incident response frameworks, and SLA compliance.
• Collaborate closely with Data Engineering, AI/ML, and Software Product teams to align infrastructure with business roadmaps.

Operations & FinOps

• Establish cloud cost optimization strategies (FinOps) to manage computing costs associated with AI models and large-scale data processing.
• Manage monitoring, alerting, and telemetry frameworks (e.g., Prometheus, Datadog, CloudWatch) to ensure 99.99% uptime.

Key Requirements

• Experience: 10+ years of overall IT experience with at least 5+ years in a cloud leadership or lead architect role.
• Cloud Platforms: Advanced hands-on expertise with both AWS (e.g., EC2, S3, EKS, Bedrock, SageMaker) and Azure (e.g., AKS, Azure OpenAI, Blob, Virtual Machines).
• DevOps & IaC: Strong background in Terraform, Docker, Kubernetes, CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins).
• Domain Knowledge: Prior experience building or managing cloud environments within Healthcare, Life Sciences, or HealthTech is strongly preferred.
• AI/ML Familiarity: Experience supporting cloud infrastructure for machine learning pipelines, LLM deployments, or GPU compute management.
• Certifications (Preferred): AWS Certified Solutions Architect – Professional, Azure Solutions Architect Expert, or Certified Kubernetes Administrator (CKA).

AWS / Kubernetes / OpenShift / Linux –

Location: Bangalore

Experience: 7–10 Years

Mandatory Skills:

• Strong hands-on experience with AWS
• Experience in Kubernetes & OpenShift
• Strong knowledge of Linux administration
• Experience with Docker & containerization
• Knowledge of CI/CD pipelines and DevOps practices
• Troubleshooting, monitoring, and deployment experience

Role: Cloud/DevOps Engineer – AWS, Kubernetes & OpenShift

Role Summary

Own the end-to-end Cloud & ITO practice engine—build and take platform/solution-led offers to market, drive rapid expansion across existing accounts, and run a scalable, profitable managed services model (CloudOps/InfraOps/DevSecOps/SRE). This role is accountable for GTM + delivery governance + margin with strong standards, automation, FinOps discipline, and measurable operational outcomes (availability, cost, cycle time, MTTR).

Key Responsibilities

Create & Take Offers to Market (Platform / Solutions-Led)

Build signature offers with clear outcomes, scope boundaries, and pricing/GM guardrails across Cloud Migration & Modernization, CloudOps/Managed Cloud Services, DevSecOps enablement & platform engineering, SRE/reliability engineering, FinOps from Day‑1, and hybrid/multicloud operating models.

Own assets that win: reference architectures, runbooks, proposal modules, ROI/TCO models, and demo/POV kits.

Lead platform-first positioning: “solution + operating model” with dashboards, governance, and measurable outcomes.

Rapid Expansion Across Existing Accounts (Land-and-Expand)

Create expansion plays inside current accounts: cloud cost optimization, reliability uplift, security hardening, DC exit, managed services takeovers, and automation of ops.

Partner with Sales to build account expansion blueprints and convert them via workshops/POVs.

Operate a consistent pipeline-to-expansion cadence: discovery → workshop/POV → scale program.

Managed Services Ownership (Cloud + Infra + Ops)

Stand up and scale Managed Cloud & Infrastructure Services: L2/L3 support model, ITIL-aligned processes, SLAs/OLAs, on-call, and incident/problem/change management.

Define a service catalog, runbooks, shift-left playbooks, and automation-first operations (ticket deflection, self-heal, IaC).

Establish governance: weekly ops reviews, monthly service reviews, and continual improvement plans (CIP).

Delivery Excellence & Profitability

Run a profitable model: utilization/pyramid health, delivery productivity, margin realization, leakage control, and change-order discipline.

Ensure operational compliance and audit readiness (security, access controls, change control).

Drive standardization and reuse of accelerators (IaC modules, golden pipelines, monitoring templates, hardening baselines).

Tool & Partner Ecosystem

Drive partner-led motions with hyperscalers and key platform providers; define co-sell plays and enablement.

Prevent tool sprawl: standardize toolchain and enforce engineering standards and controls across accounts.

Talent & Practice Build-out

Build/lead architects, CloudOps leads, SRE, DevSecOps, network/infra SMEs; define competency tracks and certifications.

Create a skills-to-demand plan and maintain a deployment-first model with bench-to-billable conversion discipline.

Areas of Expertise / Experience

Cloud architecture and engineering on AWS/Azure/GCP; hybrid and multicloud patterns

CloudOps/InfraOps managed services: ITSM, L2/L3 operations, SRE/observability, service governance

DevSecOps and platform engineering: CI/CD, IaC, environment automation, policy-as-code

FinOps: unit cost models, tagging standards, rightsizing, RI/SP governance, chargeback/showback

Security posture management: IAM patterns, CSPM, vulnerability management, change/access controls

Automation-first operations: self-healing, runbook automation, ticket deflection, reliability engineering

Success Metrics

Growth + expansion: bookings/pipeline, win-rate, and expansion penetration across existing accounts

Operational outcomes: SLA attainment, MTTR/incident reduction, change success rate, uptime/service reliability

Cost & efficiency: unit cost reduction, rightsizing savings, automation coverage, ticket deflection/shift-left

Profitability: GM at booking + realization, utilization, estimation variance/leakage control

Scalability: reuse of accelerators/IaC, certification progress, partner-sourced pipeline

Tool Expertise & Platforms (expected/preferred)

Cloud

AWS / Azure / GCP (architecture + operations)

IaC & Configuration

Terraform, CloudFormation/Bicep, Ansible

CI/CD & DevSecOps

GitHub/GitLab/Jenkins/Azure DevOps

SAST/DAST; secrets management

Observability/APM

Datadog, New Relic, Dynatrace, Prometheus/Grafana, ELK/Splunk

ITSM

ServiceNow (preferred), Jira Service Management

Security & Posture

CSPM (e.g., Prisma Cloud / Microsoft Defender for Cloud), policy-as-code, IAM patterns

FinOps

Tagging standards, dashboards, RI/SP governance; chargeback/showback

Experience

15–18+ years in cloud/infra/ITO leadership; 5+ years running managed services or practice portfolios.

Strong pursuit leadership across discovery → solution → estimate → SoW → delivery handoff; comfort owning GM guardrails.

Proven record of building repeatable offers and scaling operations with measurable outcomes.

Skills

cloud architecture and engineering

managed services leadershipdevsecops and platform engineeringsite reliability engineering srefinops and cost optimizationsecurity and compliance

Senior Java AWS Developer – D

Location: Bangalore

Experience: 6–10 Years

Mandatory Skills:

• Strong experience in Java / Spring Boot
• Hands-on experience with AWS services
• Strong PostgreSQL / SQL knowledge
• Experience in REST APIs & Microservices
• Good understanding of Docker, CI/CD & Git
• Experience in application development, debugging, and performance optimization

Role: Senior Developer – Java, AWS & PostgreSQL

We are a San Francisco-based AI infrastructure company working with leading frontier AI labs to build post-training data and evaluation infrastructure for foundation models. We are hiring a Python Developer to create high-quality datasets, reinforcement learning environments, and benchmarking pipelines used to improve and evaluate state-of-the-art LLMs. This is a remote role with flexible working hours.

Responsibilities

* Create and curate datasets for LLM post-training (SFT, RLHF, RL, preference optimization).

* Build and maintain RL environments for agent evaluation.

* Develop Python tooling for dataset generation, validation, and transformation.

* Evaluate models on custom benchmarks and testing pipelines.

* Collaborate with research and engineering teams to deliver client-specific post-training datasets.

* Work with terminal-first development workflows and cloud infrastructure.

Required Skills

* Strong Python programming skills.

* Understanding of LLM fundamentals and post-training concepts (SFT, RLHF, RL).

* Experience working with structured data (JSON, CSV, YAML).

* Git, Linux/Unix command line, and solid software engineering fundamentals.

Good to Have

Experience with RAG, agentic AI systems, Hugging Face Transformers, LoRA/PEFT, LangChain or LlamaIndex, vector databases (FAISS, Qdrant, Milvus, Pinecone, Weaviate, ChromaDB), Docker, AWS/GCP, FastAPI/Flask, Bash, CLI tooling, model evaluation frameworks, benchmarking, and AI infrastructure.

Compensation

Base Salary: USD $1,250/month

Equity: ESOP/Equity package included.

Performance Bonuses: Up to USD $4,000/month (in addition to base salary).

Location

Remote (Worldwide)

Work Hours

Flexible, remote-first, asynchronous work environment.

How to Apply

Apply here: https://tally.so/r/wLReJG

Please complete the application form and submit the required details. Only shortlisted candidates will be contacted.

Data Engineer

Location: Bengaluru, India (Hybrid)

Employment Type: Full-time

Experience: 3-5 years

Role Overview  

What We’re Looking For:

• Bachelor’s degree in Computer Science/Engineering or equivalent experience required.
• Experience designing and shipping cloud services products.
• Experience driving and managing technical and architectural dependencies on AWS Cloud.
• A firm understanding of system architecture, cloud computing, PaaS/SaaS design principles, S3, DynamoDB, RDS mandatory.
• Experience in building or maintaining ETL processes and tools, i.e., AWS Glue or any open-source tool.
• Proven system-level design contribution to a current “Live” (in production / under daily high load) multi-region SaaS or PaaS offering.
• Proven experience with S3, DynamoDB, SQL, and AWS RDS services.
• Proficiency in programming languages such as Python.
• Strong analytical and problem-solving skills.
• 
  

Required Skills & Experience

• Experience with Python, SQL, and data visualization/exploration tools.
• Familiarity with the AWS ecosystem, specifically S3, DynamoDB, and RDS.
• Communication skills, especially for explaining technical concepts to nontechnical business leaders.
• Ability to work on a dynamic, research-oriented team that has concurrent projects.
• Experience in AWS cost optimization (Savings Plans, Reserved Instances, Spot Instances) and governance frameworks.
• Experience developing solutions using infrastructure orchestration tools (SSM, automation account, Ansible, etc.).
• Excellent leadership, stakeholder management, and communication skills.

What We Offer

• Work with some of the brightest minds in the emerging EV industry.
• Make a tangible impact in reducing carbon emissions and enabling sustainable energy.
• Freedom to suggest, implement, and innovate on systems, processes, and technologies.
• Daily ownership in a high-growth, challenging environment.
• Flexible work environment with hybrid schedules and virtualization options.
• Competitive pay and benefits including health coverage, innovative PTO program, and performance bonuses.

🚀Job Title : Senior Backend Engineer (Java / Golang) SDE 3

Experience : 5 to 12 Years

Positions : 4

Employment Type : C2H (Contract to Hire)

Contract Duration : 3 Months

Location : Remote during contract → Pune after conversion

Work Mode After Conversion : 5 Days WFO

Notice Period : Immediate / Serving Notice / Up to 15 Days preferred

Mandatory Skills : Golang (1+ year mandatory), 5+ years Backend Development, System Design, Distributed Systems, Microservices, REST / GraphQL APIs, Event-Driven Architecture, SQL & NoSQL Databases, AWS / GCP / Azure, Strong Problem-Solving & Communication Skills.

About the Role :

We are looking for an experienced Backend Engineer / SDE 3 with strong expertise in Java / Golang to design and build scalable, secure, and high-performance backend services and APIs.

The role involves hands-on coding, system design, microservices, distributed systems, and collaboration with engineering and infrastructure teams.

Must-Have Skills :

• 5+ years of backend development experience.
• Strong hands-on experience with Golang.
• Minimum 1+ year of Golang experience is mandatory.
• Strong understanding of System Design & Distributed Systems.
• Experience with REST / GraphQL APIs.
• Experience with Microservices and Event-Driven Architecture.
• Experience with Event Queues / Asynchronous Processing.
• Strong knowledge of Relational and NoSQL databases.
• Familiarity with AWS, GCP, or Azure.
• Strong communication and problem-solving skills.

Important Note for Java Candidates :

Java candidates can be considered only if they have at least 1+ year of hands-on Golang experience and are willing to work in Golang.

Candidates with less than 1 year of Golang experience will not be considered.

Good to Have :

• Experience in Fintech / Payments / Transaction-heavy systems
• Docker & Kubernetes
• Datadog / Prometheus / Grafana
• CI/CD experience
• Exposure to Java or Ruby

Key Responsibilities :

• Design, develop, and maintain scalable backend services using Golang.
• Build reliable, secure, and high-performance microservices and APIs.
• Implement event-driven and asynchronous processing systems.
• Work on system architecture, scalability, performance, and reliability.
• Participate in system design, code reviews, and technical discussions.
• Collaborate with mobile, web, and infrastructure teams.
• Develop unit, integration, and performance tests.
• Contribute to CI/CD, observability, documentation, and engineering best practices.

Interview Process :

Round 1 : Take-Home Coding Assessment – Submission within 48 hours

Round 2 : Code Pairing – Problem Extension

Round 3 : Culture Fitment

We are seeking a Senior Full Stack Engineer to join our team in a long-term contractor capacity to continue development of a production-grade platform hosted on AWS.

This application supports policy processing, third-party integrations, compliance workflows, reporting, and intelligent automation capabilities. The ideal candidate is a strong software engineer first, capable of contributing across the full stack while helping scale and evolve the platform.

This role requires someone who can step into an existing system, understand complex workflows quickly, and independently deliver high-quality solutions.

Responsibilities

• Design, develop, and maintain full-stack application features across frontend and backend systems

• Build and support integrations with third-party systems and APIs

• Develop workflow-driven processes using Temporal

• Build scalable APIs and backend services using Python

• Maintain and optimize relational databases using PostgreSQL

• Develop reporting and analytics capabilities using charting libraries

• Contribute to AI-enabled features and integrations within the platform

• Improve CI/CD pipelines and deployment processes

• Participate in architecture discussions and help shape long-term technical direction

• Work closely with business and technical stakeholders to deliver production-ready solutions

Required Qualifications

Engineering

• at least 7+ years of full stack software engineering experience

• Strong proficiency in Python

• Strong frontend development experience with modern web frameworks

• Strong backend API development experience

• Experience designing and building scalable applications

• Strong understanding of software architecture and best practices

• Experience working in complex, integrated systems

Workflow and Orchestration

• Proven experience with Temporal

• Experience building and managing workflow orchestration patterns

• Familiarity with asynchronous processing and event-driven systems

Database and Reporting

• Strong experience with PostgreSQL

• Strong SQL and data modeling experience

• Experience building reporting dashboards and analytics features

• Experience with charting libraries such as Chart.js, D3.js, or Plotly

DevOps

• Experience with CI/CD pipelines

• Familiarity with containerized deployments

• Experience with cloud environments and modern development workflows

Preferred Qualifications

• Experience in insurance, surplus lines, or compliance-based applications

• Experience integrating with third-party vendors and external APIs

• Experience with AI tooling, LLM integrations, and context engineering

• Experience building intelligent automation features

What We Are Looking For

• Self-driven and highly autonomous

• Strong problem-solving ability

• Comfortable with ownership and accountability

• Able to contribute with minimal supervision

• Strong communication skills in English

• Comfortable working U.S.-based business hours

Ideal Candidate

A senior full stack engineer who can quickly contribute to an active production system, own features end-to-end, and help expand a platform that sits at the center of complex business workflows and integrations. Send resume with projects and contact information.

Senior Software Engineer – Backend

Company: House of EdTech (Goenka Kachave LLP)

Location: Bangalore, Hybrid

Job Type: Full-Time

Experience: 5+ Years

About the Role

House of EdTech is looking for a Senior Software Engineer – Backend to design, develop, and scale high-performance backend services and APIs supporting products used by millions of learners.

You’ll work closely with Product, Frontend, Data, and Engineering teams while taking end-to-end ownership of backend features and contributing to system architecture and technical decisions.

What You'll Do

• Design and develop scalable backend services and REST APIs.
• Build reliable systems capable of handling high traffic and large data volumes.
• Own backend features from design and development through deployment and monitoring.
• Work with microservices, databases, and distributed systems.
• Identify and solve performance, scalability, reliability, and security challenges.
• Participate in system design and architecture discussions.
• Conduct code reviews and contribute to engineering best practices.
• Mentor junior and mid-level engineers.
• Monitor production systems and troubleshoot incidents.

What We're Looking For

• 5+ years of professional backend development experience.
• Strong hands-on experience with Java, Python, Scala, C++, or a similar language.
• Experience building and operating large-scale distributed systems.
• Strong understanding of REST APIs, microservices, and databases.
• Experience with cloud/infrastructure technologies such as GCP, Docker, or Kubernetes.
• Strong software engineering fundamentals, including security, reliability, testing, and code quality.
• Experience with system design, architecture, and technical decision-making.
• Strong communication and cross-functional collaboration skills.
• Experience mentoring engineers is a plus.

Why Join House of EdTech?

• Work on products impacting millions of learners.
• Solve challenging backend and scalability problems.
• Take significant ownership of architecture and engineering decisions.
• Opportunity to grow into technical leadership and architectural ownership.
• Work in a fast-growing technology environment.

Role overview

The client is building a multimodal AI platform that processes multi-hour video, audio and text to generate structured insights, narratives and highlight workflows for broadcasters and media organisations.

We are seeking a Backend / Platform Engineer to design and build high-throughput media pipelines, robust APIs, and model-serving infrastructure that connect our AI engine (video perception + multimodal reasoning) to real products and customer environments.

This is not a CRUD‑only backend role.

You will work on:

• long‑running jobs
• distributed processing
• GPU inference orchestration
• storage for embeddings and metadata
• integration with AI models
• reliability and observability at scale

Key responsibilities

Media ingestion & processing pipelines

• Design and implement ingestion pipelines for multi‑hour video and audio content.
• Build microservices for frame extraction, audio processing, transcription integration and metadata generation.
• Handle long‑running, asynchronous jobs using queues, workers and robust retry strategies.
• Integrate with FFmpeg or similar tools for transcoding, segmenting and preparing media for AI models.

API & platform architecture

• Design and implement REST/gRPC APIs that expose AI model outputs (perception, multimodal alignment, narratives) to frontend and external systems.
• Define clear contracts for internal services and external integrations.
• Implement authentication, authorisation and rate‑limiting for platform endpoints.
• Ensure backward‑compatible API evolution as the product matures.

Model‑serving & AI integration

• Integrate with AI inference services (video models, multimodal models, LLM/VLM) running on GPUs or specialised infrastructure.
• Design request/response flows that handle large payloads, streaming outputs and structured results.
• Optimise throughput and latency for inference pipelines, including batching, caching and concurrency control.
• Collaborate closely with AI engineers to productionise models and debug end‑to‑end behaviour.

Storage, data models & performance

• Design data models to store embeddings, timelines, metadata, scene/shot boundaries, and narrative units.
• Work with appropriate storage technologies (SQL/NoSQL, object storage, search indices) based on access patterns.
• Implement indexing and query strategies for fast retrieval of segments, highlights and multimodal insights.
• Optimise performance for large datasets and high‑volume workloads.

Reliability, observability & operations

• Implement logging, metrics and tracing across services for debugging and monitoring.
• Set up health checks, circuit breakers and graceful degradation for critical services.
• Work with CI/CD pipelines to ensure safe, repeatable deployments.
• Collaborate on Kubernetes‑based deployments (or equivalent orchestration) for scaling services.

Requirements (must‑have)

Experience:

• 4–8 years in backend or platform engineering.
• At least 3 years working on distributed systems, high‑throughput services or complex pipelines (not just simple CRUD apps).

Languages & frameworks:

• Strong proficiency in Python or Node.js (one primary, both are a plus).
• Experience with at least one modern backend framework (FastAPI, Flask, Express, NestJS, etc.).

Distributed systems & pipelines:

• Hands‑on experience with queues and workers (e.g. Celery, RabbitMQ, Kafka, SQS, etc.).
• Experience building asynchronous, long‑running job pipelines.
• Understanding of idempotency, retries, backoff, and failure handling.

APIs & integration:

• Strong experience designing and implementing REST APIs (gRPC is a plus).
• Experience integrating with external services and handling network‑level failures.

Cloud & infrastructure:

• Experience deploying services on AWS, GCP or Azure (EC2/Compute Engine, S3/GCS, IAM, networking basics).
• Experience with Docker; exposure to Kubernetes is a strong plus.

Data & storage:

• Experience with SQL and at least one NoSQL store.
• Ability to design schemas and data models for performance and maintainability.

Engineering quality:

• Strong debugging skills across services and environments.
• Experience with unit/integration tests for backend systems.
• Clear, structured communication in English.

Nice‑to‑have

• Experience with media/video processing (FFmpeg, transcoding, segmenting).
• Experience with AI/ML model integration (serving models, handling inference requests).
• Experience with search/retrieval systems (e.g. Elasticsearch, vector databases).
• Experience with observability stacks (Prometheus, Grafana, OpenTelemetry).
• Experience working with remote teams across time zones.

What we are explicitly NOT looking for

To reduce noise and mismatches, we are not looking for:

• Pure CRUD‑only backend developers with no pipeline or distributed systems experience.
• Engineers who have only worked on small, single‑service apps without scale or complexity.
• Candidates who cannot explain trade‑offs in architecture, data modelling and reliability.
• Candidates who are uncomfortable with ownership of subsystems end‑to‑end.

Why join us

• Work on real, complex problems at the intersection of media, AI and distributed systems.
• Collaborate with senior AI engineers working on perception, multimodal fusion and narrative reasoning.
• Build the core platform that turns AI models into a usable product for broadcasters and media organisations.
• Operate with high ownership, clear expectations and direct access to the CTO.

About the Role

You'll be at the forefront of designing and implementing robust data platform solutions that power advanced analytics, AI, and machine learning. Working with modern cloud technologies, you'll build scalable data foundations that enable clients to make smarter, data-driven decisions.

Key Responsibilities

• Build scalable data pipelines using Snowflake, AWS, GCP, and Databricks.
• Design and optimize data models for AI and machine learning workloads.
• Develop reliable data foundations for MLOps, governance, and data lineage.
• Integrate data from multiple sources into modern data platforms.
• Leverage Snowpark ML and Snowflake's native AI capabilities.
• Ensure data platforms are secure, scalable, and high-performing.

What We're Looking For

• 5+ years of hands-on experience with Snowflake.
• Strong proficiency in SQL and Python.
• Experience with AWS, Azure, or GCP.
• Knowledge of cloud storage services such as S3, ADLS, or GCS.
• Strong understanding of Dimensional Modeling and Data Vault.
• Experience with Scala or Java is a plus.

Tech Stack

• Data Warehouse: Snowflake
• Programming: SQL, Python, Scala (Good to Have), Java (Good to Have)
• Cloud: AWS, Azure, GCP
• Storage: S3, ADLS, GCS
• AI/ML: Snowpark ML, MLOps

Perks & Benefits

• Public Speaking & Communication Program
• Mentoring Program with Senior Support Leads
• 360° Progress Reviews
• Weekly Learning Sessions & Guilds
• Paid Certifications
• Hackathons & Innovation Days
• Recognition & Rewards Programs
• Team Socials & Annual Offsites
• Employee Assistance Program (24/7 Wellbeing Support)

The Data People Shaping Tomorrow

Our client helps organizations unlock the power of data through modern cloud, analytics, and AI solutions. We believe in creating an environment where talented technologists can learn, innovate, and make a real impact while building cutting-edge data platforms for global clients. If you're passionate about data engineering and want to work with the latest technologies in AI, cloud, and analytics, we'd love to hear from you.

What you'll do

Own a client end to end. Learn their business, find what to automate or rebuild, and lead the work that ships it.

Turn business problems into technical solutions sit in the call, understand the real problem, design the fix, and decide how it gets built.

Stay hands-on. You'll still write code, build integrations, and work with APIs every day.

Build on whatever the client runs Zoho, Salesforce, Azure, similar platforms, and custom apps where needed.

Run delivery: scope it, sequence it, ship it, support it. The timeline is yours.

Review code and designs. Mentor the developers on your projects and unblock them fast.

Be the escalation point when something breaks or an integration misbehaves.

Own client communication on the technical side status, tradeoffs, bad news, early.

Keep the bar high: clear docs, clear updates, clear commit history.

What we're looking for

4–7 years shipping software, with real depth in REST APIs and system integrations.

Experience leading projects or small teams — the person others check with before they build.

Strong with business platforms (Zoho, Salesforce, or similar). Much of the leverage lives there, not in custom code.

You can sit with a non-technical client, understand the problem, and come back with a working solution.

Still enjoy building. This is technical leadership, not coordination.

Self-driven. You'll often be the senior-most engineer on the account.

Why you'll love this role

Full ownership from first call to delivery — you run projects, not a ticket queue.

Direct access to clients and leadership. Your decisions ship the same week.

Constant variety: new systems, new problems, new builds.

A step into technical leadership without giving up the hands-on work.

Hiring for Senior Devops Engineer - AWS

Exp : 6 - 8 yrs

Edu : BE/B.Tech

Work Location : Pune WFO

Notice Period : Immediate - 15 days

Skills :

5+ years of hands-on experience in DevOps Engineering and Infrastructure Management.

Exp with AWS Cloud, including EC2, S3, VPC, EKS, Lambda, IAM, CloudWatch, and other core AWS services.

Exp in Terraform for Infrastructure as Code (IaC).

Exp with Kubernetes (EKS) and Helm for container orchestration and deployment.

Good knowledge of Monitoring & Observability tools such as Grafana and Prometheus.

Job description: Data Architect – Databricks / AWS

Job Summary

We are looking for an experienced Data Architect to define and drive the target data architecture for the Horizon MVP and its future evolution. The role will be responsible for designing a scalable, secure, governed cloud data platform covering ingestion, storage, processing, analytics, APIs, and downstream data consumption.

The architect will work closely with Data Engineering, Backend, DevOps, QA, and business stakeholders to establish architecture standards and ensure the platform is ready for advanced analytics, AI/ML, vector storage, and future LLM-based capabilities.

• Job Title: Data Architect
• Experience: 8+ Years
• Relevant Architecture Experience: 3+ Years in Data Architecture
• Location: Chennai / Pune
• Work Mode: Hybrid – 3 Days WFO
• Budget: Up to 24 LPA
• Payroll: Haparz
• Notice Period: Immediate Preferred

Key Responsibilities

• Define the target data architecture for the Horizon MVP and establish an architecture roadmap for future scalability.
• Design end-to-end architecture covering data ingestion, storage, processing, serving, reporting, APIs, and downstream applications.
• Establish canonical data models and schemas for travel signals, corridors, sources, evidence, scores, and generated insights.
• Define data normalization strategies for structured, semi-structured, and unstructured data from multiple external sources.
• Design and govern the Databricks platform architecture, including Unity Catalog, data schemas, access controls, and governance standards.
• Establish data-retention, lineage, data-quality, security, privacy, and compliance controls.
• Define secure integration patterns between Databricks, AWS PRODIGY, SharePoint, external APIs, and downstream applications.
• Design scalable data processing for 30-day signal windows, convergence/divergence scoring, corridor ranking, and spike detection.
• Define architecture patterns that support future vector storage, embeddings, LLM integration, and multi-year analytics.
• Design reliable batch and API-driven ingestion frameworks for structured and unstructured data.
• Review technical designs, identify architectural risks, and provide technical direction to engineering teams.
• Guide backend, data engineering, DevOps, and QA teams in implementing architecture standards.
• Ensure architecture decisions align with enterprise security, RBAC, PII handling, privacy, and operational requirements.
• Communicate architecture decisions, trade-offs, and technical recommendations effectively to technical and business stakeholders.
• 
  

What We’re Looking For

• 8+ years of experience in data engineering, data platforms, or data architecture, with at least 3+ years in a Data Architect capacity.
• Strong hands-on experience designing cloud-based data platforms, lakehouses, or analytical platforms.
• Advanced knowledge of Databricks, Apache Spark/PySpark, Delta Lake, and Unity Catalog.
• Strong understanding of AWS data services, IAM, networking, and secure cloud integration patterns.
• Strong expertise in data modelling, metadata management, data lineage, data quality, retention, and governance.
• Experience architecting batch and API-based ingestion pipelines for structured, semi-structured, and unstructured data.
• Understanding of AI/ML workloads, feature pipelines, vector databases, embeddings, and LLM integration patterns.
• Experience designing APIs and downstream data-serving architectures.
• Strong knowledge of PII protection, RBAC, data privacy, and enterprise security controls.
• Excellent architectural communication and stakeholder-management skills.

About NonStop io Technologies

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

Brief Description

We're seeking an experienced Senior Backend Engineer/Tech Lead to join our team. As a backend engineer, you will be responsible for designing, developing, and deploying scalable backends for the products we build at NonStop. This includes APIs, databases, and server-side logic. Also, guiding the mentoring the junior team members

Responsibilities

• Design, develop, and deploy backend systems, including APIs, databases, and server-side logic
• Write clean, efficient, and well-documented code that adheres to industry standards and best practices
• Code Quality: Ensure code quality through code reviews, adherence to best practices, and continuous improvement
• Mentorship: Guide and mentor team members, fostering growth and innovation
• Collaboration: Work closely with stakeholders to align technical goals with business objectives
• Problem-Solving: Analyze and resolve technical challenges promptly
• Innovation: Stay updated with the latest technology trends and integrate them into solutions

Requirements

• At least 5+ years of experience building scalable and reliable backend systems
• Strong expertise in NodeJS/NestJS, Express, PostgreSQL
• Experience with microservices architecture and distributed systems
• Proficiency in database design (SQL and NoSQL)
• Knowledge of cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines
• Deep understanding of design patterns, data structures, and algorithms
• Hands-on experience with containerization technologies like Docker and orchestration tools like Kubernetes
• Familiarity with Frontend Development Technologies (React, JavaScript, HTML, CSS)
• Exceptional communication and leadership skills
• Strong understanding of object-oriented programming principles and design patterns
• Familiarity with automated testing frameworks and methodologies
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to effectively lead and maintain a collaborative team environment

Why Join Us?

• Opportunity to work on a cutting-edge healthcare product
• A collaborative and learning-driven environment
• Exposure to AI and software engineering innovations
• Excellent work ethic and culture

If you're passionate about technology and want to work on impactful projects, we'd love to hear from you!

About the Role

We are looking for a Full Stack AI Engineer who can take an ambiguous problem and turn it into a complete, production-ready AI product.

This is a builder role.

You will work across the entire stack — AI models, agents, backend services, APIs, databases, data pipelines, frontend applications, infrastructure, and production deployment. You should be comfortable deciding what needs to be built, writing the code, deploying it, measuring whether it works, and continuously improving it.

We are not looking for someone who only builds notebooks, trains models, writes prompts, or creates architecture diagrams for another team to implement. We want engineers who ship complete products.

A typical project might involve designing an agentic workflow, building a retrieval pipeline, writing Python APIs, creating a React interface, integrating enterprise data, deploying to Kubernetes, implementing evaluations, and debugging the application in production.

The distance between an idea and working software should be measured in weeks, not quarters.

This role is based in Hyderabad and is 6 days per week in the office.

We are looking for:

1. A person that can smoothly navigate extreme ambiguity
2. Full stack software builder
3. AI depth, must have built a production AI system
4. Excellent top-notch communication and stakeholder management
5. Prioritizes growth over work-life balance

What You'll Do

Build AI Products End-to-End

• Own AI applications from problem definition through architecture, development, deployment, and production operation.
• Translate ambiguous product and business requirements into working software.
• Build across AI/ML, backend services, APIs, databases, frontend interfaces, data pipelines, authentication, infrastructure, and observability.
• Rapidly prototype, test with real users and data, and turn successful ideas into production-grade systems.
• Make pragmatic engineering decisions based on speed, reliability, simplicity, maintainability, and user value.

AI, LLMs & Agents

• Build production applications using commercial and open-source foundation models.
• Design RAG systems, agentic workflows, tool/function calling, structured outputs, memory, human-in-the-loop workflows, and multi-agent systems where appropriate.
• Work with frameworks such as LangGraph, LangChain, Semantic Kernel, LlamaIndex, or equivalent tools.
• Build retrieval systems using embeddings, vector search, BM25, hybrid retrieval, reranking, metadata filtering, and knowledge graphs.
• Design prompt and context engineering strategies for complex workflows.
• Evaluate model choices based on accuracy, latency, reliability, security, and cost.
• Build automated evaluations and regression tests for AI behavior.
• Fine-tune or adapt models when prompting and retrieval are insufficient.

Backend, Frontend & Data

• Build production backend systems primarily in Python using FastAPI, Flask, Django, or similar frameworks.
• Design APIs, asynchronous workflows, background jobs, queues, caching layers, and event-driven systems.
• Work with PostgreSQL, SQL Server, MongoDB, Redis, Snowflake, and other production data stores.
• Build modern applications using React, Next.js, TypeScript, JavaScript, or equivalent frameworks.
• Create interfaces for copilots, conversational AI, workflow automation, analytics, review queues, and operational applications.
• Implement streaming responses, real-time updates, authentication, permissions, and API integrations.
• Build ingestion and transformation pipelines for structured and unstructured enterprise data.
• Work with documents, databases, APIs, event streams, images, logs, and operational datasets.
• Maintain provenance, permissions, metadata, and traceability across enterprise information.

ML & Computer Vision

• Use classical ML or deep learning when it is better suited to the problem than an LLM.
• Build systems involving classification, forecasting, anomaly detection, ranking, recommendations, optimization, or prediction.
• Build computer-vision applications involving detection, classification, segmentation, OCR, tracking, or image/video analysis.
• Work with PyTorch, TensorFlow, Hugging Face, OpenCV, or equivalent tools.
• Understand model development, evaluation, inference, and productionization.

Deploy & Operate What You Build

• Deploy applications across AWS, Azure, GCP, on-premises, hybrid, or edge environments.
• Containerize and operate applications using Docker and Kubernetes.
• Build CI/CD pipelines, automated testing, monitoring, and observability.
• Own reliability, latency, availability, security, evaluation, cost, and scalability.
• Debug failures across application code, AI models, data, infrastructure, and integrations.
• Build retries, fallbacks, rollback mechanisms, and human intervention into critical systems.

Integrate With Enterprise Systems

• Connect AI applications to enterprise platforms, databases, APIs, and operational systems.
• Integrate with systems such as ERP, MES, PLM, CRM, data warehouses, IoT platforms, document repositories, and legacy applications.
• Work within enterprise networking, security, and data-governance constraints.
• Implement authentication, authorization, secrets management, auditability, permissions, and data isolation.
• Build AI systems capable of safely operating on sensitive enterprise data.

What You Bring

• 5+ years of software engineering experience, with meaningful experience building AI/ML-powered products. Exceptional candidates with less experience but strong demonstrated ability will be considered.
• Strong hands-on programming ability in Python.
• Experience building complete production applications rather than isolated models, notebooks, or proofs of concept.
• Strong backend fundamentals including APIs, databases, distributed systems, and application architecture.
• Experience with React, Next.js, TypeScript, JavaScript, or equivalent frontend technologies.
• Strong understanding of LLMs, RAG, agents, tool calling, embeddings, vector search, prompt/context engineering, AI evaluation, and ML fundamentals.
• Experience with SQL and production databases.
• Experience with at least one major cloud platform: AWS, Azure, or GCP.
• Experience with Docker, Kubernetes, or equivalent production infrastructure.
• Understanding of production AI concerns including reliability, latency, security, observability, evaluation, and cost.
• Strong debugging skills across the full stack.
• Ability to independently turn loosely defined requirements into working software.
• Strong product judgment, high agency, technical curiosity, and a bias toward shipping.
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent demonstrated experience.

Preferred / Top-Candidate Signals

• You've independently shipped an AI application from database → backend → AI → frontend → production.
• You've built production RAG or agentic systems, not just demos.
• You've used LangGraph, LangChain, Semantic Kernel, LlamaIndex, or similar frameworks.
• You understand when not to use an LLM or agent.
• You've worked with hybrid retrieval, reranking, vector search, or knowledge graphs.
• You've built with both commercial and open-source models.
• You've deployed ML or computer-vision systems into production.
• You have experience with React/Next.js + Python/FastAPI or a comparable modern stack.
• You have experience with Kubernetes, cloud infrastructure, and production observability.
• You have integrated software with complex enterprise or industrial systems.
• Experience in manufacturing, industrial, supply chain, logistics, engineering, energy, aerospace, automotive, or other physical-world environments is a strong plus.
• You've built meaningful side projects, open-source software, startups, or substantial systems outside your assigned responsibilities.
• You have a history of turning vague ideas into shipped products.

What Makes Someone Exceptional

The strongest engineers in this role combine three abilities:

AI Engineering — Choose the right model, retrieval approach, agent architecture, evaluation method, or ML technique.

Software Engineering — Build everything around the intelligence: frontend, backend, data, APIs, infrastructure, security, integrations, and deployment.

Product Judgment — Understand what actually needs to be built and rapidly turn it into something users can use.

A typical week might involve designing an agent workflow, writing FastAPI services, building a React interface, creating a retrieval pipeline, connecting enterprise data, deploying to Kubernetes, implementing evaluations, and debugging real-world behavior.

You should not need five different teams to turn an idea into a working product. You should be able to build.

Why This Role

• Build entire products, not isolated models or prototypes.
• Own the full stack: AI, backend, frontend, data, infrastructure, and deployment.
• Ship quickly: move from idea to working software in weeks.
• Work across modern AI: LLMs, agents, RAG, ML, computer vision, optimization, and enterprise data.
• Solve real-world problems: build software used in complex operational environments.
• See your work in production: own the path from first commit to real users.
• Compensation is flexible for exceptional candidates. 

About Comprinno

Comprinno is a NASSCOM-incubated company headquartered in Bangalore, with offices in Pune, Coimbatore, and the United States. We specialize in cloud transformation, DevOps, infrastructure automation, managed services, Data Analytics, and Artificial Intelligence, enabling organizations to build scalable, secure, and high-performing cloud environments on AWS.

Our flagship SaaS platform, Tevico, offers intelligent cloud governance and observability for AWS workloads. It helps enterprises improve uptime, reduce costs, and ensure compliance by proactively detecting anomalies and triggering automated remediation workflows.

As one of the leading AWS consulting partners in the APJ region, Comprinno helps startups and enterprises accelerate growth through cloud migration, modernization, security, managed services, and GenAI-driven innovation.

About the Role

We are looking for a high-energy, entrepreneurial, and consultative Account Executive – Startups & Digital Native Business to drive growth within India's startup ecosystem.

This role is ideal for someone who understands startup buying behavior, thrives in fast-moving environments, and can engage founders, CTOs, engineering leaders, and product teams in meaningful business conversations.

You will own the complete sales cycle—from opportunity qualification to deal closure—while positioning Comprinno's Cloud, DevOps, Managed Services, Data Analytics, and AI offerings to help startups scale efficiently.

The ideal candidate combines strong business acumen, consultative selling skills, startup ecosystem awareness, and a passion for technology-led transformation.

Key Responsibilities

Own the Startup Sales Motion End-to-End

• Own the complete sales cycle:
• Discovery
• Qualification
• Solutioning
• Proposal Development
• Commercial Negotiation
• Deal Closure
• Manage opportunities sourced through:
• Marketing-generated leads
• Inbound inquiries
• Outbound prospecting
• AWS referrals
• Startup ecosystem partnerships
• Consistently achieve quarterly and annual revenue targets.
• Maintain accurate pipeline visibility and forecasting within CRM systems.

Consultative Cloud & AI Selling

• Engage founders, CTOs, VP Engineering, Product Leaders, and technology decision-makers.
• Understand customer business objectives, growth challenges, and technology priorities.
• Position Comprinno's offerings including:
• Cloud Migration
• Cloud Modernization
• Platform Engineering
• DevOps Transformation
• Managed Services
• Security & Compliance
• Data Analytics
• Generative AI
• Articulate business value, ROI, scalability, and operational benefits.
• Collaborate closely with Presales and Solution Architecture teams for technical solutioning.

Startup Ecosystem Development

• Build and maintain strong relationships with:
• Startup Founders
• CTOs
• Accelerators
• Incubators
• Venture Capital Firms
• Startup Communities
• Represent Comprinno at startup events, meetups, hackathons, webinars, and industry forums.
• Build ecosystem-driven lead generation channels.
• Create long-term strategic relationships within the startup ecosystem.

AWS Startup Program Alignment

• Collaborate with AWS Startup, ISV, and Digital Native Business teams.
• Leverage AWS programs including:
• AWS Activate
• MAP
• Well-Architected Reviews
• GenAI Programs
• Startup Funding Initiatives
• Build relationships with AWS Startup Account Managers and Startup Solution Architects.
• Position Comprinno as a trusted AWS implementation and innovation partner.

Revenue Growth & Account Expansion

• Drive acquisition of new startup customers.
• Identify upsell and cross-sell opportunities within existing accounts.
• Expand engagements from:
• Migration
• Modernization
• Managed Services
• Data & AI
• Security
• Develop long-term account growth strategies.

Collaboration & Market Feedback

• Work closely with:
• Marketing
• SDR Teams
• Presales
• Delivery Teams
• AWS Partner Teams
• Provide market intelligence and customer feedback.
• Help refine messaging, offerings, and GTM strategies for startup customers.
• Contribute to startup-focused sales playbooks and best practices.

Required Qualifications & Skills

• Bachelor's degree in Engineering, Technology, Computer Science, or related disciplines.
• 4–7 years of experience in B2B technology sales, cloud consulting sales, IT services sales, or startup-focused solution sales.
• Strong understanding of India's startup ecosystem, including Seed, Series A, Series B, and growth-stage companies.
• Experience selling one or more of the following:
• Cloud Services
• DevOps Services
• Managed Services
• Data Analytics
• AI/GenAI Solutions
• SaaS Platforms
• Proven ability to engage founders, CTOs, and senior technology stakeholders.
• Strong consultative selling and value-based sales skills.
• Excellent communication, presentation, negotiation, and relationship-building abilities.
• Experience managing opportunities through the complete sales lifecycle.
• Strong CRM discipline and forecasting accuracy.
• High ownership mindset and ability to operate independently.

Desired Qualifications & Skills

• MBA from a reputed institution.
• AWS Cloud Practitioner or AWS Solutions Architect – Associate certification.
• Experience working with AWS Partner ecosystem and startup programs.
• Existing network within startup, VC, accelerator, or founder communities.
• Exposure to Cloud, Data Analytics, AI, or GenAI solution selling.
• Experience working in high-growth startup or consulting environments.

What We're Looking For

• Entrepreneurial mindset and startup DNA.
• High urgency and execution focus.
• Strong hunter mentality with account expansion capability.
• Ability to simplify complex technology into business outcomes.
• Curiosity, resilience, and continuous learning mindset.
• Relationship-oriented approach with strong commercial acumen.
• Passion for helping startups scale through technology.

What Success Looks Like

• Consistent achievement of quarterly and annual revenue targets.
• Strong pipeline generation and opportunity conversion rates.
• High win rates within startup and digital-native accounts.
• Successful acquisition of new startup customers.
• Growth of AWS-sourced and ecosystem-driven opportunities.
• Strong CRM hygiene and forecasting accuracy.
• Creation of repeatable startup sales playbooks and best practices.
• Meaningful contribution to Comprinno's startup ecosystem presence.

Why Join Comprinno

• Work with one of the leading AWS consulting partners in India and APJ.
• Engage with some of the fastest-growing startups and digital-native businesses.
• Sell cutting-edge Cloud, DevOps, Data Analytics, and AI solutions.
• Collaborate closely with AWS Startup teams and ecosystem partners.
• Accelerate your career in a high-growth, high-impact environment.
• Join a culture that values ownership, innovation, learning, and customer success.

Greetings from zealous sevices!

GoLang (Soln Architect) -(9 AM to 6PM) 

Experience: 10-12 Yrs 

Need a senior Solution Architect - No BGV - ok with consultants 

Own end-to-end solution architecture for a cloud-based cybersecurity platform operating at massive scale (millions of assets), spanning multiple product modules and a broad third-party integration ecosystem.

What They'll Do 

Define and own the overall solution architecture across multiple product modules (e.g., detection, response, asset inventory, reporting), ensuring they work as a coherent, scalable system rather than disconnected parts 

Design for scale: architecture that reliably handles millions of assets/endpoints with predictable performance, cost, and reliability as volume grows 

Lead cloud infrastructure architecture decisions, compute, storage, networking, multi-region/multi-tenant strategy, disaster recovery 

Architect and govern third-party integrations (SIEM/SOAR, ticketing, identity providers, cloud provider APIs, threat intel feeds, etc.), define integration patterns, data contracts, and reusable frameworks rather than one-off connections 

Create and maintain architecture roadmaps, capacity plans, and technical strategy aligned with product/business roadmap 

Set architectural standards and guardrails (scalability, security, data flow, API design) across engineering teams 

Act as the technical bridge between engineering, product, security, and infrastructure/DevOps teams 

Conduct architecture reviews, threat-model system designs, and identify scaling bottlenecks or single points of failure before they hurt production 

Own key non-functional requirements: performance, availability, security, cost-efficiency, compliance 

Support presales/enterprise customer conversations on architecture, especially for large or complex deployments 

Evaluate and select core technologies (data stores, messaging systems, orchestration, IaC tooling) 

What They Should Have 

8–12+ years in software/infra engineering, with 4+ years specifically in a solution/enterprise architect role 

Proven experience architecting systems at scale (millions of records/assets/events), not just designing on paper, but having operated such systems in production 

Deep cloud architecture expertise (AWS/GCP/Azure), multi-account/multi-tenant design, cost optimization, networking, IAM 

Strong grasp of distributed systems patterns: data partitioning, eventual consistency, event-driven architecture, caching strategies

Experience designing integration architectures (APIs, webhooks, message queues) across many heterogeneous third-party systems 

Security architecture fluency,this is a security product, so the architect must think adversarially about their own system 

Ability to produce architecture documentation (C4 diagrams, ADRs, data flow diagrams) that both engineers and executives can use 

Track record of cross-functional influence, able to align multiple engineering teams around a shared architecture without direct authority 

Cybersecurity domain knowledge (SIEM/EDR/CNAPP/CSPM concepts, threat detection pipelines), or equivalent adjacent domain with fast ramp-up ability 

Nice to Have 

Experience with specific integration ecosystems relevant to your product (e.g., Splunk, ServiceNow, Okta, AWS Security Hub) 

Familiarity with IaC (Terraform), service mesh, and Kubernetes at scale Enterprise/regulated-industry experience (SOC 2, FedRAMP, ISO 27001) shaping architecture decisions 

Prior experience scaling a product from ""hundreds of thousands"" to ""tens of millions"" of managed assets

Company Description

Appiness Interactive Pvt. Ltd. is a Bangalore-based product development and UX firm that specializes in digital services for startups to fortune-500s. We work closely with our clients to create a comprehensive soul for their brand in the online world, engaged through multiple platforms of digital media. Our team is young, passionate, and aggressive, not afraid to think out of the box or tread the un-trodden path in order to deliver the best results for our clients. We pride ourselves on Practical Creativity where the idea is only as good as the returns it fetches for our clients.

Role Overview

We are looking for an experienced Senior Cloud Security Engineer with 7+ years of experience, including strong hands-on expertise in AWS Cloud Security. The candidate will be responsible for designing, implementing, assessing, and continuously improving security across AWS cloud environments. The role requires strong knowledge of cloud security architecture, IAM, network security, threat detection, vulnerability management, incident response, security monitoring, encryption, and DevSecOps.

This is a highly technical position. Hands-on technical expertise will be given significantly more importance than communication skills. Good written and verbal communication is sufficient.

Key Responsibilities

• Design and implement secure AWS cloud architectures.
• Establish and maintain AWS security best practices and security controls.
• Implement IAM, RBAC, least-privilege access, MFA, federation and privileged access controls.
• Secure AWS networking including VPCs, Security Groups, NACLs, routing, private/public subnets and VPC endpoints.
• Implement and manage AWS security services including:
• AWS IAM
• AWS KMS
• AWS CloudTrail
• Amazon GuardDuty
• AWS Security Hub
• AWS Config
• AWS WAF
• AWS Secrets Manager
• Monitor and investigate security events, threats and suspicious activities.
• Lead or participate in cloud security incident response and root-cause analysis.
• Conduct vulnerability assessments and coordinate remediation.
• Perform AWS security posture reviews and identify misconfigurations.
• Review cloud architectures and provide security recommendations.
• Implement encryption and data protection controls.
• Secure CI/CD pipelines and support DevSecOps practices.
• Review Infrastructure as Code for security risks.
• Implement security automation wherever possible.
• Work with engineering, DevOps and infrastructure teams to embed security into the development lifecycle.
• Establish security standards, policies and controls for AWS environments.
• Support compliance requirements and security audits.
• Mentor junior engineers and provide technical guidance.

Mandatory Technical Skills

Must Have

• 7+ years of overall IT/Security/Cloud experience
• Strong AWS Cloud Security experience
• Hands-on AWS security architecture
• AWS IAM
• IAM policies, roles, permissions and least privilege
• AWS networking security
• VPC, Security Groups and NACLs
• CloudTrail and security logging
• GuardDuty
• Security Hub
• KMS and encryption
• Vulnerability management
• Cloud security monitoring
• Incident response
• Security hardening
• Security architecture/design

Good to Have

• AWS Organizations / SCP
• Terraform / CloudFormation
• DevSecOps
• CI/CD security
• Docker/Kubernetes security
• SAST/DAST/SCA
• SIEM tools
• Python/Bash/PowerShell scripting
• CIS Benchmarks
• NIST
• ISO 27001
• SOC 2
• AWS security certifications

SRE / Success Engineering role focused on production operations, reliability, AWS infrastructure, monitoring, incident management, and platform support for the ZT platform.

Core responsibilities include:

• Production monitoring and debugging of live systems.
• Incident investigation, troubleshooting, and problem resolution.
• AWS cloud infrastructure support and maintenance.
• Deployment and operational support activities.
• Supporting a 24x7 production environment.
• Working with GitHub-based development workflows.
• Technical debt remediation and platform improvements.
• Customer issue investigation and support.
• Security and compliance-related work, including FedRAMP initiatives.

Preferred Skills:

AWS (especially S3 and EC2)

Strong debugging and troubleshooting skills

Site Reliability Engineering (SRE) experience

GitHub experience

Basic software development skills

TypeScript/JavaScript knowledge

C# preferred

AI experience is a plus.

Candidate should be a hands-on engineer with strong AWS, SRE, operational ownership, production support, and debugging capabilities, rather than a pure application or full-stack developer.

About PowerTech Digital

PowerTech Digital is a UK software development and digital consultancy working with enterprise clients on digital transformation, data architecture, and AI-enabled delivery. We're a small, senior team that ships fast by pairing strong engineering judgement with AI-native tooling — and we're productising that approach.

Prompt to Production is our newest service: organisations empower their workforce to build applications on AI platforms like Lovable, Bolt, and Claude, and we take those applications to secure, production-grade deployments on the client's own cloud — their identity, their policies, their infrastructure. Every release goes through the same governed pipeline: handover → security audit → hardening → deployment. You would own that pipeline.

The role

This is a hybrid delivery-and-product role. Roughly two-thirds is running and improving the Prompt to Production service end to end; the rest is full-stack product engineering on client builds and our own tooling. You'll work directly with the founder, with real autonomy, modern AI tooling as standard, and a clear brief: make the service so repeatable that every deployment is execution, not invention.

What you'll do

• Run the deployment pipeline: take applications built by citizen developers from a GitHub handover through security audit, remediation, hardening, and release to Azure (AWS/GCP as we expand).
• Lead handover calls (30–60 min) with the people who built the apps — understanding what they made, what it touches, and who needs access.
• Execute AI-assisted security audits using Claude Code against our published checklist — auth and authorisation, RLS policies, secrets handling, data exposure, dependency vulnerabilities — and produce our standardised audit report.
• Implement production hardening: migrate authentication to Microsoft Entra ID (tenant-locked app registrations), move secrets into Azure Key Vault, configure CI/CD with GitHub Actions and OIDC federated credentials.
• Own and improve the infrastructure templates (Bicep/Terraform + cloud-init): per-app resource groups, self-hosted Supabase stacks, automated backups to Blob Storage, monitoring with Application Insights.
• Operate live tier 2 stacks: updates, backup verification, restore tests, secret rotation.
• Build product: full-stack features on client engagements and internal tooling — including AI integration work (LLM APIs, agents, structured extraction, evals).
• Make the service better every cycle: tighten the audit checklist, automate the manual steps, improve the templates. Your job is to make your own job smaller.

What you must bring

• 3–6 years as a full-stack engineer with Node.js and TypeScript/React at the core — you're genuinely strong at building product, not just gluing services.
• Must have experience managing and maintaining self-hosted Supabase
• PostgreSQL in production; Supabase experience (RLS, auth, migrations, edge functions) is a significant advantage.
• Real Docker/Compose ownership and CI/CD you've built yourself (GitHub Actions preferred).
• Cloud fundamentals — ideally Azure (VMs, networking, Key Vault, Entra ID); strong AWS/GCP experience with willingness to go deep on Azure also works.
• AI integration experience in shipped products — you've built with LLM APIs (Anthropic, OpenAI), understand prompting, structured outputs, and where AI belongs (and doesn't) in a product.
• Security instincts: you think about what an app exposes before you think about what it does.
• Excellent written and spoken English — you'll run client-facing calls and write reports that IT directors file.

The mindset we're hiring for

Product engineering, not ticket-taking. You ask why before how, you'd rather delete a step than document it, you treat every deployment as a chance to improve the system that does deployments, and you're comfortable being the person accountable for something working in production. You already use AI tools as a force multiplier in your daily work — this role assumes it.

Nice to have

• Bicep or Terraform in anger; Linux server administration.
• Experience with AI app builders (Lovable, Bolt, v0) — even personal projects.
• Security certifications or OWASP familiarity; AZ-104/AZ-204.
• Experience working directly with clients or stakeholders in a consultancy setting.

Logistics & compensation

• Remote-first. Significant overlap with UK working hours required.
• Competitive compensation based on location and experience. [Adjust per market — e.g. ₹18–28 LPA for India-based candidates; contractor or EOR arrangement available.]
• Direct exposure to the full commercial picture of a productised service — how it's priced, sold, and scaled.

As a Senior Full Stack Engineer, become part of a cross-functional development team engineering experiences of tomorrow.

Project Description: Client is looking for a Senior Software Engineer will work closely with other engineers of varying disciplines (DevOps, QA, Front-End ReactJS, etc), product, as well as other parts of the organization. They craft applications in Java/Kotlin, leveraging AWS, CircleCI, and Terraform. We are always looking to adopt modern technology to solve business challenges.

Responsibilities:

Build out features and solutions to collect, moderate, and/or deliver user-generated content to our customers

Become an expert on multiple of our solutions and areas of our codebase, while understanding the larger architecture of our entire suite of solutions

Participate in technical brainstorming and knowledge transfer sessions; provide technical advice at a team level and a department level

Communicate across teams by collaborating with fellow engineers, product managers, UX designers, operations, and other development teams to build a holistic experience

Proactively identify pain points and potential issues within our architecture and code base, and proactively tackle tech debt

Contribute to each step of the product development process, from ideation and design, to planning and architecting, to building out the solution and infrastructure, to testing, to releasing, and maintenance

Participate, build, and implement department CI/CD, application monitoring, security, and general developer tooling initiatives

Other duties as assigned

Requirements:

6+ years of full-stack application development in our language stack (Kotlin, Java) and with AWS

5+ years of experience developing APIs for front-end applications

5+ years of strong experience with relational databases (PostgreSQL, MySQL) and large data sets

2+ years of experience leveraging and maintaining CI/CD tooling (CircleCI, Drone, GitHub Actions)

2+ years of experience leveraging infrastructure as code using Terraform

1+ years of experience with event-driven development (SQS, SNS, Kafka, Kinesis, Pub/Sub) and idempotent patterns

Previous experience leveraging automated database DDL (Liquibase, Flyway)

Previous experience leveraging automated database DDL (Liquibase, Flyway)

Previous experience with object data stores (AWS S3, Azure Blob Storage, GCP Cloud Storage) and/or document data stores (AWS DynamoDB, MongoDB, NoSQL)

Previous experience building containerized applications (Docker) and deploying them to orchestration (AWS ECS, Kubernetes, Docker Swarm)

Experience with source control tools such as Git

Presales Engineer – Cloud & AI — Comprinno, Bangalore (3–5 yrs experience)

Role: Bridges Sales, Solution Architects, Data & AI, and Delivery teams — shaping technical solutions, driving discovery conversations, and translating customer needs into cloud/AI architectures.

Core responsibilities:

• Customer discovery workshops, cloud assessments, and migration readiness evaluations
• Cloud transformation consulting (migration, modernization, DevOps, security, DR) using AWS frameworks (MAP, WAFR, FTR)
• AI/GenAI solution consulting — identifying use cases for GenAI, AI Assistants, Agentic AI, conversational AI
• Building technical proposals, architecture diagrams, SOWs, RFP/RFI responses
• Supporting PoCs, demos, and technical validations
• Customer-facing engagement, thought leadership (blogs, webinars, case studies)
• Maintaining reusable presales assets and knowledge repositories
• Travel for customer meetings/workshops as needed

Must-have qualifications:

• Bachelor's in CS/IT/Engineering or related
• Strong AWS knowledge (compute, networking, storage, security, databases)
• Kubernetes, containerization, cloud-native architecture, DevOps, IaC (Terraform/CloudFormation)
• GenAI concepts: LLMs, prompt engineering, RAG, AI assistants, Agentic AI
• Familiarity with Bedrock, SageMaker, Amazon Q; LangChain, LangGraph, CrewAI, OpenAI/Anthropic APIs
• AWS Solutions Architect – Associate Certification (mandatory)
• Strong communication/stakeholder management

Nice-to-have: AWS specialty certs (Security, ML, Networking, DevOps Pro), compliance knowledge (ISO 27001, SOC 2, HIPAA), MBA, published thought leadership.

Responsibilities Include:

● Architecting, building, testing, and deploying applications that support our transportation network

● Modifying designs and specifications of complex applications

● Collaborating and adding value through participation in peer code reviews, providing comments and suggestions

● Leverage AWS and other cloud technologies to design and implement systems in a serverless and event-driven environment

● Working with technical and non-technical end-users, other engineers, and product managers in a cross-functional, quick-moving, and collaborative environment

● Analyzing code, requirements, system risks, and software reliability and providing recommendations on how to leverage our technology more efficiently

● Working with Product and Design to confirm requirements, prioritization, and development of new features

● Design and implement LLM-powered features to solve complex logistics challenges, automate manual operational workflows, and unlock new efficiencies for our network.

● Champion AI-assisted engineering practices by integrating machine learning and intelligent automation into our CI/CD pipelines to predict deployment risks and accelerate delivery cycles.

What You Bring:

● Ability to adapt to changing requirements and work in a fast-paced environment.

● Ability to work effectively in a cross-functional team environment.

● 7+ years of experience building, testing and deploying applications in high-traffic production environments

● 7+ years of experience developing software with Javascript, Node.js and React

● Enjoys taking initiative, is a self-starter, willing to move fast and ship quick, and is excited about collaborating on big challenges

Preferred Qualifications:

● Experience in transportation, logistics or network orchestration systems is highly desirable

● Experience working in a remote first environment.

● Proficiency with AWS, GCP, or similar cloud platforms.

● Strong skills in React and Node.js for end-to-end development. 

Are you looking to work in the cutting edge area of applying data-science to help global customers get a better insight into their health? If so, read on and apply.

Role Name: Senior Data Scientist

Science Team | Full-Time | In-Office | Bangalore

The Role

The Ultrahuman Science Team builds the algorithms behind the Ring, M1 CGM, blood and urine biomarkers, and Performance Lab assessments. We are hiring a Senior Data Scientist to own those algorithms end to end: from the raw sensor signal to a model that is shipped, monitored, and trusted in users' hands.

This is a build role with real scope. In a typical month you will improve a production algorithm, root-cause a metric users are complaining about, and stand up the data pipeline the next model needs. The common thread is ownership: you take a vague question and return a working answer, without waiting to be handed scope.

What You'll Do

·      Own algorithms end to end: sleep staging, activity detection, sensor-derived metrics, and health scores. You frame the problem, build the features, train and evaluate the model, and see it live

·      Ship models, not notebooks: you prove a change on our own cohort before it reaches users, and a model is done only when it runs in production and you can tell how it is behaving

·      Validate against reference standards: design evaluations against gold standards, reference devices, and study ground truth, and know when a result is real and when it is an artifact

·      Own the data layer: cohort extraction, feature pipelines, study data, and raw sensor data, so the next model starts from clean inputs

What This Looks Like in Practice

1. Improving production algorithms - Take an existing production model like sleep staging, root-cause the failure modes against reference data, and ship a fix you can defend with numbers.

2. Building new models - Train an activity classifier on raw sensor data, design the labeled data collection that expands it, and pick the operating point so false positives never erode trust.

3. Proving it before it ships - Run a new steps algorithm against reference-device cohorts, decide with data when it is ready, and monitor how it behaves after rollout.

Who You Are

The two things we can't coach

·      High ownership, end to end: you take a problem from a vague question to a shipped model without waiting to be handed scope, and you can point to something you owned from raw data all the way to production

·      Hungry for more scope: you have outgrown your current role and want problems biggerthan your title, with the technical depth to be trusted with them

Also important

·      You've worked with human health data: wearables, physiological signals, or clinical data.

If your experience is close but not exact, show us why you will ramp fast

·      You've built at a startup: or somewhere small enough that nobody handed you clean data, clear specs, or a mature ML platform

·      You work like it's 2026: coding agents and AI tooling are part of how you build every day, and you can tell which new capabilities are worth adopting

·      You communicate: you can explain a model and its limits to a product manager, an engineer, or a founder, and hold your own with our scientists Core Technical Skills

·      Languages and data: Python and SQL daily, comfortable working in a real codebase

·      Machine learning: PyTorch or TensorFlow, scikit-learn, and gradient boosting, with the judgment to know which the problem needs

·      Advanced machine learning: time series and sequence models, deep learning on continuous physiological signals, and ensembles

·      Statistics and evaluation: hypothesis testing, experiment and A/B design, model evaluation, and error analysis against a reference standard

·      Scale and cloud: Spark or equivalent on large datasets, and AWS, GCP, or Azure

·      Production ML and MLOps: training pipelines, model versioning, deployment, monitoring, and drift detection

·      LLMs and agentic systems: fine-tuning and serving models, building agentic pipelines, and using coding agents to move faster

Experience:

- 4 to 5 years building and shipping machine learning systems. We index on what you have shipped and on trajectory, not the exact number of years; if you are a little earlier but have clearly outgrown your current scope, we want to hear from you.

- Bachelor's or higher in engineering, computer science, statistics, or a related field.

How We Work and Who Thrives Here

- The Science team is small and moves fast, and much of the work has no precedent to copy.

- People do their best work here when they are energized by ambiguity, low on ego, quick to adopt a better idea no matter where it comes from, and comfortable owning something before anyone has told them how. If you need a mature data org, clean labelled datasets, and clear guardrails to thrive, this particular role will not be the right fit, and that is worth knowing up front.

What You'll Gain

·      Ownership of algorithms that hundreds of thousands of people see every morning

·      A dataset most scientists never get to touch: 100M+ nights of sleep and continuous physiological signals at scale

·      Direct collaboration with the engineering, product, and design teams building Ultrahuman

US Shift: 6pm -2am

We are seeking a talented and motivated Full Stack Software Developer to join our team. The ideal candidate will have strong experience with React and Node.js, with additional expertise in GraphQL and AWS being highly desirable. You will play a key role in designing, developing, and maintaining scalable, efficient, and user-friendly applications across the stack.

Key Responsibilities:

• Design and Development: Build, deploy, and maintain front-end and back-end solutions using React and Node.js.
• API Integration: Develop and consume RESTful APIs and GraphQL services.
• System Architecture: Design scalable and maintainable software architectures.
• Cloud Integration: Implement and optimize applications hosted on AWS services (e.g., Lambda, S3).
• Collaboration: Work closely with product managers, designers, and other developers to translate requirements into high-quality, reliable software.
• Code Quality: Write clean, maintainable, and testable code while adhering to industry best practices.
• Troubleshooting: Debug and resolve application issues across the stack.

Skills Required:

• Proficiency in JavaScript/TypeScript and modern frameworks like React and Node.js.
• Solid understanding of front-end development concepts, including state management, component lifecycles, and performance optimization.
• Experience in building and consuming REST APIs and/or GraphQL APIs.
• Familiarity with databases (e.g., PostgreSQL, or similar).
• Strong problem-solving skills and ability to work in an agile environment.

Preferred:

• Hands-on experience with GraphQL (e.g., Apollo).
• Proficiency with AWS services such as EC2, S3, Lambda, API Gateway, and DynamoDB.
• Knowledge of CI/CD pipelines and tools like Jenkins, GitHub Actions, or similar.
• Understanding of software testing methodologies and tools (e.g., Jest, Cypress).

About AimInfologics

AimInfologics is a software development company based in Gujarat, India. We build mobile apps, web platforms, SaaS products, AI integrations, automation systems, and custom software solutions for clients in India and international markets.

We are looking for a Full Stack Developer who has strong hands-on experience with Node.js and Next.js and can work on real client projects with ownership.

Role: Full Stack Developer – Node.js & Next.js

Job Type: Full-time

Location: Ahmedabad, Gujarat / On-site

Experience: 2–5 years preferred

Salary: As per experience and practical skill level

Role Description :

The selected developer will work on web applications, admin panels, APIs, SaaS platforms, CRM systems, dashboards, and AI-integrated software products.

This role is suitable for someone who can handle both frontend and backend work, understand requirements properly, write clean code, debug issues, and deliver features with proper quality.

We are not looking for someone who only knows basic tutorials. We need someone who has worked on real projects and can take responsibility for modules independently.

Key Responsibilities

• Develop and maintain web applications using Next.js

• Build backend APIs using Node.js and Express.js

• Work with MongoDB and database-driven application logic

• Create clean, responsive, and user-friendly frontend screens

• Integrate third-party APIs, payment gateways, AI APIs, CRM tools, and cloud services when required

• Write clean, reusable, and maintainable code

• Debug bugs, performance issues, and production-level problems

• Coordinate with UI/UX designers, backend developers, mobile developers, and project managers

• Understand client requirements and convert them into working features

• Use Git properly for code management and team collaboration

• Deploy or support deployment on platforms such as Vercel, AWS, or similar environments

Required Skills

• Strong experience with Node.js

• Strong experience with Next.js and React.js

• Good knowledge of JavaScript and TypeScript

• Experience with MongoDB and database design basics

• Good understanding of REST APIs

• Experience with Express.js or similar backend frameworks

• Ability to integrate third-party APIs

• Good understanding of authentication, authorization, JWT, roles, and permissions

• Basic understanding of cloud deployment, Vercel, AWS, Nginx, or PM2 is a plus

• Good debugging and problem-solving skills

• Ability to write clean and structured code

• Basic understanding of UI/UX and responsive design

• Good communication and team coordination skills

Good to Have

• Experience with AI API integrations such as OpenAI or similar tools

• Experience with payment gateways

• Experience with SaaS, CRM, ERP, dashboards, or admin panel development

• Experience with server deployment and production issue handling

• Experience working with international client projects

Who Should Apply

Apply only if you are serious about full-time work and can take ownership of development tasks.

This role is best for someone who wants to grow as a strong full stack developer and work on real business applications, SaaS products, AI-based systems, and international client projects.

Hiring Process

1. Profile screening
2. Technical interview
3. Practical task / code review
4. Final discussion

While applying, please mention:

• Your total experience

• Projects you have worked on using Node.js and Next.js

• Current salary

• Expected salary

• Notice period

• GitHub / portfolio link, if available

About the Role

We are looking for an experienced Python Full-Stack Developer with 5+ years of experience to develop and maintain scalable web applications and SaaS products. The role involves working with Python, FastAPI/Flask/Django, ReactJS, REST APIs, databases, AWS, and Docker, while focusing on performance, scalability, and reliable solutions. The ideal candidate should have strong problem-solving skills and the ability to collaborate effectively with cross-functional teams.

Requirements

• 5+ years of hands-on experience in Python Full-Stack Development.
• Strong experience with Python, FastAPI/Flask/Django, ReactJS, JavaScript, HTML5, CSS3
• Good knowledge of REST APIs, Celery, and Redis.
• Experience with MySQL/PostgreSQL and MongoDB.
• Hands-on experience with AWS (EC2, Secrets Manager, ECR) and Docker.
• Proficiency in Git, NumPy, Pandas, and Matplotlib.
• Strong understanding of Data Structures, Algorithms, debugging, and performance optimisation.
• Knowledge of Machine Learning is an added advantage.
• Strong analytical, problem-solving, and communication skills.

Key Responsibilities

• Develop and maintain scalable full-stack applications using Python, FastAPI/Flask/Django, ReactJS, and JavaScript.
• Build and integrate REST APIs, responsive UI components, and third-party services.
• Implement asynchronous processing using Celery and Redis.
• Work with SQL and NoSQL databases including MySQL, PostgreSQL, MongoDB, and Redis.
• Develop data-driven solutions using NumPy, Pandas, and Matplotlib.
• Deploy and manage applications using AWS (EC2, Secrets Manager, ECR) and Docker.
• Use Git for version control and collaborative development.
• Debug, optimize, and ensure application performance, scalability, and reliability.
• Collaborate with cross-functional teams to deliver high-quality solutions and contribute to technical improvements.

Good to Have

• Experience working on SaaS products or large-scale web applications.
• Experience with AWS deployment and CI/CD pipelines.
• Knowledge of cloud architecture and microservices.
• Experience with machine learning or data-intensive applications.
• Experience with frontend state-management solutions such as Redux or Context API.
• Experience mentoring junior developers or leading technical initiatives.

Job Title: DevOps Manager

Experience: 8+ Years

Location: Pune

Employment Type: Full-time

About the Role

We are looking for an experienced DevOps Manager with strong hands-on technical expertise and leadership capabilities to manage cloud infrastructure, automation, CI/CD, deployments, and platform reliability. The ideal candidate should have strong experience in Shell Scripting, cloud platforms, Kubernetes, Terraform, and production DevOps environments.

Key Responsibilities

• Lead and mentor the DevOps engineering team.

• Design, implement, and optimize CI/CD pipelines and deployment processes.

• Manage scalable and highly available cloud infrastructure across AWS / Azure / GCP.

• Drive Infrastructure as Code (IaC) using Terraform and configuration automation using Ansible.

• Manage Docker and Kubernetes based environments.

• Develop and maintain automation scripts using Shell/Bash Scripting and Python.

• Implement monitoring, logging, alerting, and observability.

• Handle production incidents, troubleshooting, root cause analysis, and preventive actions.

• Drive infrastructure security, performance, scalability, and cloud cost optimization.

• Collaborate with Development, QA, Security, Architecture, and Delivery teams.

Required Skills & Qualifications

• 8+ years of experience in DevOps, Cloud Engineering, Platform Engineering, or related roles.

• Strong hands-on experience in Shell / Bash Scripting.

• Experience with AWS / Azure / GCP cloud platforms.

• Strong knowledge of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.

• Hands-on experience with Docker, Kubernetes, and Helm.

• Strong experience with Terraform and Ansible.

• Experience with Linux administration, Git, networking, IAM, and cloud security.

• Experience with monitoring tools such as Prometheus, Grafana, ELK, or equivalent.

• Strong troubleshooting, communication, stakeholder management, and team leadership skills.

Preferred Skills (Nice to Have)

• Python scripting experience.

• Cloud / Kubernetes / Terraform certifications.

• Experience with SRE, observability, high-availability architecture, and cloud cost optimization.

Mactores is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract.

Legacy infrastructure doesn't retire itself. Someone has to build the pipelines, rehearse the cutover, and carry the release into production  and that's this seat. As a Senior AWS DevOps Engineer, you serve our application and infrastructure modernization work: you own build and release cycles for customer projects, land migrations from legacy hardware to AWS, and make deployments boring in the best sense of the word.

Agents change what this job looks like day to day. Aedeon and automation handle the repetitive discovery, mapping, and validation work that used to eat engineer hours. That leaves you the parts that actually need a senior engineer: infrastructure architecture, risk tradeoffs, release judgment, and the operational standards the whole team ships against. You'll work client-facing, embedded with customer teams, and the delivery commitment is one you carry personally.

What we are looking for?

• 4+ years with Terraform for Infrastructure as Code (IaC) including modules, remote state, state management, imports and multi account providers.
• Experience in designing highly available and secure AWS architecture within strong understanding of RTO/RPO and DR Strategies.
• 4+ years in configuration management and systems engineering, supporting large-scale Agile environments.
• 4+ years of Linux or Windows administration.
• 4+ years working with Git, with a solid grasp of branching and merging strategies.
• 4+ years hands-on with AWS infrastructure and platform services.
• 2+ years with cloud automation tools such as Ansible or Chef.
• 2+ years with container orchestration, Kubernetes (EKS), AWS ECS, and Docker.
• A proactive, solutions-oriented approach and a drive to improve reliability and scalability.

What you will do?

• Automate infrastructure creation with Terraform and AWS CloudFormation — infrastructure as code, not tickets and toil.
• Own application configuration management and drive Infrastructure as Code through deployment tooling.
• Own the build and release cycle for customer projects, end to end.
• Share responsibility for deploying releases and for operations and maintenance work.
• Improve the operations infrastructure we ship with — Jenkins clusters, Bitbucket, monitoring tools (Consul), and metrics tools like Graphite and Grafana.
• Support the engineering team operationally and help migrate legacy infrastructure to the cloud — retiring the old systems, not just standing up new ones.
• Establish and enforce operational best practices, and hold releases to them.
• Help hire culturally aligned engineers and mentor them as they grow.
• Work with the founders on team strategy and long-term technical planning.
• Work across distributed teams in the US and India, and with customer SMEs, to keep the business logic honest through migration.

Role Description

Key Responsibilities:

• Troubleshoot Windows OS and Office 365 issues (Outlook, Teams, OneDrive)
• Handle password resets, account access, and user management (Active Directory)
• Install/configure laptops, desktops, printers, and software
• Perform basic network troubleshooting (Wi-Fi, VPN, DNS)
• Log and track issues in ServiceNow/Jira and meet SLA timelines
• Escalate complex issues to L2 teams
• Support user onboarding/offboarding and system setup
• Maintain basic documentation and SOPs

Required Skills:

• Strong 2-3 years of experience in IT Support / Helpdesk / Desktop Support
• Good knowledge of Windows OS (10/11) and Microsoft Office 365
• Basic exposure to AWS is mandatory.
• Basic knowledge of Active Directory, networking, and security concepts
• Exposure to Linux/Unix environments (basic level)
• Familiarity with ticketing tools (ServiceNow, Jira, etc.)
• Basic understanding of programming/scripting (Java, Python, etc.) is a plus
• Experience in fast-paced or SaaS environments is an advantage
• Strong communication skills (English) and problem-solving ability

About Us:

Datum builds market intelligence solutions for the retail industry. We transform public and proprietary data into actionable insights that help retail brands decide where to expand, compete, and grow. We are a small, fast-moving team that works closely with customers and

believes in shipping impactful products quickly.

About the Role

We're looking for a Full Stack Platform Engineer to build and own our end-to-end product ecosystem, including:

● Data acquisition through scalable web scraping and ETL pipelines

● Customer-facing analytics platform

● Geospatial analysis engine powering retail insights

You'll work across frontend, backend, data engineering, cloud infrastructure, and geospatial systems while collaborating directly with the founder and customers.

Key Responsibilities

● Build scalable web scrapers and ETL pipelines

● Develop customer-facing features using React/Next.js

● Design REST & WebSocket APIs

● Work with PostgreSQL/PostGIS and geospatial data

● Own deployment, CI/CD, monitoring, and cloud infrastructure

● Translate customer feedback into product features

Must-Have Skills

● 3–6 years of Full Stack development experience

● Python (FastAPI/Django)

● React or Next.js with JavaScript/TypeScript

● Web scraping using Scrapy, Playwright, Selenium, or BeautifulSoup

● PostgreSQL (PostGIS preferred)

● REST APIs, JWT/OAuth

● Docker, Git, AWS/GCP/Azure

● Understanding of proxy rotation and anti-bot techniques

Good to Have

● Mapbox, Leaflet, or Google Maps Platform

● Airflow, Redis, Kafka, or SQS

● Experience with large-scale scraping (Google Maps, Zomato, Justdial, etc.)

● Geospatial analytics or retail domain experience

● Startup experience with end-to-end ownership