3,206 AWS (Amazon Web Services) Jobs in India

What You Will Own 

Platform Architecture 

• Full architectural ownership of the non-AWS toolchain: CI/CD, observability, event streaming, automation, secrets, and deployment infrastructure 
• Define, build, and enforce platform standards across portfolio products 
• Terraform IaC for all infrastructure — nothing provisioned manually, everything versioned and reviewed 
• Self-service developer platform so product teams ship without waiting on platform 

Event Streaming & Pipeline Infrastructure 

• Own the event streaming architecture, operational standards, and health monitoring across all products using real-time pipelines 
• Design and maintain batch processing infrastructure alongside live event flows 
• Ensure pipeline reliability, throughput, and cost are actively managed at scale 

CI/CD & Deployment 

• Build and maintain CI/CD pipelines (GitHub Actions) across all portfolio products 
• Automate triage and retry logic for known failure classes — flaky tests, dependency timeouts, OOM kills — so engineers are only paged for genuinely novel failures 
• Deployment standards: release management, rollback mechanisms, canary and blue-green patterns where justified 

Observability & Reliability 

• Own the full observability stack: Grafana, Prometheus, and Loki across all products 
• SLOs and error budgets defined per product; reliability tracked consistently 
• Build alerting that correlates signals and surfaces diagnostic context alongside notifications — so on-call engineers arrive at an incident with hypotheses, not a blank screen 
• Incident response: on-call design, escalation playbooks, post-mortem facilitation 
• Automated remediation scoped to a defined set of safe, idempotent actions — container restarts, ECS task scaling, known rollback patterns. Novel or ambiguous failures escalate to a human with full context attached 

Acquisition Onboarding 

• Platform audit and gap analysis for every new acquisition — assessing CI/CD maturity, IaC coverage, observability gaps, and security posture 
• Migration plan and execution for each portfolio company joining the platform.
• Target: full platform integration within a defined window per acquisition 

What We're Looking For 

Experience & Background 

• 8–12 years in platform engineering, DevOps, or SRE — with clear evidence of increasing ownership over time 
• Strong Terraform depth across multi-environment, multi-account setups 
• CI/CD ownership across a multi-product environment with GitHub Actions 
• Experience with event streaming infrastructure at production scale — design, operations, reliability, and cost management 
• Hands-on Grafana, Prometheus, and Loki in production 
• AWS operational depth: ECS, EKS, RDS, IAM, VPC, CloudWatch, Cost Explorer 
• SRE fundamentals: SLOs, error budgets, on-call design, post-mortem culture 
• Acquisition or greenfield platform integration experience strongly preferred 

Teamcenter Enterprise Architect (10+ years) – onsite

We are seeking a Teamcenter Enterprise Architect to own the technical blueprint, deployment architecture, and non-functional integrity of the Teamcenter platform for a Big Bang go-live. You will define end-to-end architecture, mentor technical leads, and govern upgrade-safe patterns.

Key Responsibilities

• Define end-to-end Teamcenter technical architecture including 4-tier on-premise deployment, sizing, pool manager / FMS / FSC topology, and Active Workspace gateway.
• Architect BMIDE data model extensions, ITK/SOA server customizations, and Active Workspace client customization patterns.
• Design integration architecture for Oracle EBS via OIC, Okta SSO/SAML, MCAD/ECAD tools, and AWS EDW.
• Establish non-functional requirements, performance engineering approaches, and security architecture.
• Lead cutover architecture, downtime minimization, and production migration sequencing.

Required Skills & Experience

• 10+ years of Teamcenter architecture and on-premise deployment experience.
• Strong expertise in 4-tier landscape sizing, FMS/FSC, and pool manager topology design.
• Proficiency in BMIDE, ITK/SOA, and Active Workspace customization patterns.
• Hands-on experience with Java/C++, Oracle DB, and Linux/Windows administration.
• Proven ownership of cutover and production migration architecture.

SRE – Network / DNS / Load Balancer

Experience: 7–11 Years

Location: Hyderabad

Work Mode: WFO

Availability: Immediate Joiner

Job Description:

• Strong experience in Site Reliability Engineering (SRE) with focus on infrastructure and application reliability.
• Hands-on experience with Network, DNS and Load Balancer troubleshooting and administration.
• Monitor system performance, availability, latency and infrastructure health.
• Troubleshoot network connectivity, DNS resolution, routing and load-balancing issues.
• Experience with load balancers such as F5, BIG-IP, HAProxy or similar technologies.
• Good understanding of TCP/IP, HTTP/HTTPS, LAN/WAN, SSL/TLS and networking concepts.
• Experience with DNS technologies such as BIND, Infoblox or equivalent.
• Work on incident management, root cause analysis and problem resolution.
• Collaborate with application, network, cloud and infrastructure teams to resolve production issues.
• Experience with monitoring and alerting tools such as Splunk, Grafana, Prometheus, AppDynamics or similar tools.
• Strong troubleshooting, production support and communication skills.
• Willingness to work from Hyderabad office (WFO) and join immediately. 

As a DevOps Engineer at YOYO, you'll own the infrastructure and delivery backbone that keeps our platform running as we grow. You'll build the CI/CD, cloud infrastructure, and observability that let a small, fast-moving team ship confidently and you'll keep our AI and data workloads reliable and affordable at scale. This is a hands-on role with real ownership: you won't be maintaining someone else's setup, you'll be shaping ours. You'll work closely with the backend, AI/ML, and data teams to make deployment boring, incidents rare, and scaling a non-event.

 What You'll Own

CI/CD & developer experience - Build and maintain fast, reliable CI/CD pipelines so engineers ship multiple times a day with confidence. - Make the path from commit to production simple, safe, and repeatable, with sensible automated testing, rollbacks, and release controls.Cloud infrastructure & IaC - Own our cloud infrastructure (AWS/GCP) end to end, managed as code (Terraform or similar) — no click-ops. - Design for scale and cost-efficiency as store and conversation volumes grow.

Containers & orchestration - Run our services on containers/Kubernetes: deployments, autoscaling, networking, and resource management. - Support the specific needs of AI/ML workloads, including GPU-backed inference and batch processing for the speech pipeline.

Reliability & observability (SRE) - Own uptime, performance, and incident response — monitoring, logging, tracing, alerting, on-call, and blameless postmortems. - Define and defend SLOs; keep the platform dependable as it scales across clients.

Data & pipeline infrastructure - Support the infrastructure behind large-scale, edge-to-cloud data movement and processing (audio ingestion, ASR/AI pipelines, analytics). - Keep data workloads reliable, performant, and cost-aware.

Security & compliance - Bake security into the platform: secrets management, IAM/least-privilege, encryption in transit and at rest, network hardening, and vulnerability management. - Support compliance readiness (including India's DPDP Act and enterprise-client security requirements) for a product that handles sensitive customer conversations.

Cost & scale - Own cloud cost visibility and optimization; make scaling decisions that balance reliability and spend. 

What You'll Bring - 6+ years in DevOps, SRE, platform, or infrastructure engineering, running production systems at meaningful scale.

- Strong hands-on experience with a major cloud provider (**AWS or Azure or GCP**) and Infrastructure-as-Code (**Terraform** or equivalent).

- Solid experience with **containers and Kubernetes** in production. - Experience building and owning **CI/CD** pipelines (e.g. GitHub Actions, GitLab CI, Jenkins, Argo, or similar).

- Comfort with a scripting/automation language (Python, Go, or Bash) and a strong automation-first mindset.

- Real experience with **observability** (Prometheus/Grafana, ELK, Datadog, OpenTelemetry, or similar) and running incident response / on-call.

- A security-conscious approach — secrets, IAM, encryption, and least-privilege as defaults. - Startup temperament: ownership, pragmatism, and a bias to automate and ship. - Based in or willing to relocate to Bangalore, and up for an onsite/hybrid, in-person team

This is a senior role in our Application & Database Modernization pillar, on a specific mission: leading a large-scale VMware-to-AWS migration and landing it in production. VMware estates are exactly where modernization programs go to stall — sprawling dependency graphs, undocumented workloads, and a hypervisor bill that grows while the migration deck gathers dust. Our customers need that estate moved, cut over, and retired, on a date in the contract.

You'll lead the design and implementation of the target infrastructure: Landing Zones built to AWS best practices, EKS-based container platforms, Infrastructure as Code across the stack with Terraform and CloudFormation, and HA, DR, security, and backup strategies that hold up in production. Aedeon absorbs the discovery, dependency-mapping, and validation grind that would otherwise consume the project's first two quarters. You own the judgment calls, architecture tradeoffs, cutover sequencing, risk decisions and you carry them through to production. You'll also mentor engineers and shape long-term infrastructure strategy with customer stakeholders. If you want your migration experience to end in retired VMware clusters rather than revised project plans, this is the role.

What you will do?

• Lead the design and implementation of infrastructure for a large-scale VMware-to-AWS migration — from discovery through production cutover.
• Architect and build secure, scalable, and highly available AWS environments, including Landing Zones that follow AWS best practices.
• Design and implement containerized application platforms on Amazon EKS; exposure to ECS is a plus.
• Implement Infrastructure as Code using Terraform and AWS CloudFormation.
• Define and enforce best practices across security, backups, high availability (HA), disaster recovery (DR), monitoring, and operations.
• Enable configuration management using tools such as Ansible, Chef, or similar.
• Build CI/CD pipelines and manage the complete build and release lifecycle for customer applications.
• Drive automation across provisioning, deployment, and operational workflows.
• Retire legacy infrastructure and land cloud-native architectures in its place.
• Improve and maintain DevOps platforms: Jenkins, Git repositories, monitoring, and observability stacks.
• Provide L3-level support for complex infrastructure and platform issues.
• Work with stakeholders on technical strategy and long-term architecture.
• Mentor engineers, contribute to talent evaluation, and support team development.

What are we looking for?

• 6+ years of hands-on DevOps experience, with strong expertise in designing and managing cloud infrastructure.
• Strong experience in VMware-to-AWS migration projects or large-scale infrastructure migrations.
• 4+ years of Terraform and CloudFormation for Infrastructure as Code (IaC).
• 4+ years in configuration management, systems engineering, and managing production-grade infrastructure.
• Solid Linux and/or Windows administration background.
• Deep understanding of AWS services, including VPC, EC2, IAM, EKS, ECS, RDS, S3, Backup, CloudWatch, etc.
• Experience with Kubernetes (EKS), ECS, and Docker in production environments.
• Hands-on experience designing HA, DR, security, and backup strategies.
• Experience with Landing Zone setup, multi-account strategy, and AWS governance frameworks.
• Proficiency in Git with a strong understanding of branching and merging strategies.
• Experience with CI/CD pipelines, automation, and operational tooling.
• A problem-solving mindset that's proactive and oriented toward reliability, performance, and scalability.

You will be preferred if

• Experience across multiple cloud platforms (AWS, Azure, GCP).
• AWS certifications such as Solutions Architect Associate/Professional or DevOps Engineer Professional.
• Exposure to data platforms such as Amazon EMR, Redshift, Lake Formation, and SageMaker.
• Experience designing cloud architectures at an L3/Architect level.

Technical Skills -

• 4–6 years of experience in Golang development, backend engineering, or automation testing. 
• Strong hands-on proficiency in Golang and backend development concepts. 
• Hands-on experience with Kubernetes and containerized environments. 
• Experience developing automation frameworks, unit tests, integration tests, and API validation tools using Go. 
• Strong understanding of distributed systems, system design, and cloud-native architecture. 
• Experience in validating backend services, REST/gRPC APIs, and Kubernetes-based platforms. 
• Familiarity with Docker, CI/CD pipelines, Jenkins, and GitHub Actions. 
• Knowledge of cloud-native observability tools such as Prometheus and Grafana. 
• Strong debugging, analytical, and problem-solving skills. 
• Ability to contribute to backend development, reliability improvements, and performance validation. 

Key Responsibilities -

• Develop automation frameworks, unit tests, integration tests, and validation tools using Golang. 
• Validate backend services, distributed systems, REST/gRPC APIs, and Kubernetes-based platforms. 
• Contribute to backend development, debugging, reliability improvements, and performance validation. 
• Work with cloud-native technologies such as Kubernetes, Docker, Prometheus, and Grafana. 
• Automate workflows and testing through CI/CD pipelines using Jenkins/GitHub Actions. 
• Collaborate with engineering teams to improve system quality, observability, and test coverage. 

Good to Have -

• Experience with infrastructure platforms or storage systems. 
• Exposure to AWS, Azure, or GCP. 
• Experience with performance, load, or resiliency testing. 
• Familiarity with Ginkgo, Gomega, or similar Go testing frameworks. 

Role: Forward Deployment Engineer (FDE)

Company: Comprinno (NASSCOM-incubated, AWS Advanced Consulting Partner)

Experience: 5 to 8 years

About the Role:

Comprinno is hiring a Forward Deployment Engineer to work directly with customers, identify business challenges, and turn them into working AI solutions on AWS. This is a customer-facing role that blends consulting, solution architecture, and hands-on AI engineering.

Key Responsibilities:

• Run discovery workshops with customer stakeholders and translate business problems into technical solutions.
• Design AI and cloud solutions using patterns such as RAG, AI agents, and workflow automation.
• Build POCs, prototypes, and MVPs on AWS (Bedrock, Lambda, S3, API Gateway, DynamoDB, OpenSearch, ECS/EKS) and support the move to production.
• Develop GenAI and agentic solutions, including prompt strategies, evaluation frameworks, and retrieval pipelines.
• Demo solutions, train customer teams, and drive adoption.
• Document architectures and contribute reusable accelerators. Support presales and proposals.

Must-Have Skills:

• 5 to 8 years in solution engineering, technical consulting, presales, product engineering, or similar customer-facing technical roles.
• Hands-on experience building applications, integrations, or prototypes on AWS.
• Strong grasp of LLMs, RAG, prompt engineering, AI agents, and knowledge retrieval.
• Experience with one or more of Amazon Bedrock, OpenAI, Anthropic, LangChain, LangGraph, or CrewAI.
• Experience delivering customer-facing POCs and running requirements or discovery sessions.
• Strong communication and stakeholder management skills, and comfort with ambiguity.
• Willingness to travel or be deputed to customer sites across India and internationally.

Good to Have:

• AWS Solutions Architect certification (Associate or Professional).
• Multi-agent systems, MCP, and AI observability or evaluation tools.
• Vector databases (OpenSearch, Pinecone, Weaviate, Chroma).
• DevOps and CI/CD exposure.
• Startup, consulting, or SaaS product experience.

Why Join Comprinno:

• Work at the forefront of GenAI, Agentic AI, and AWS.
• High ownership, with solutions going from idea to production in weeks.
• Exposure to diverse industries and to Comprinno's SaaS platform, Tevico.

About Comprinno:

Comprinno is a leading AWS consulting partner specializing in Cloud Transformation, DevOps, Managed Services, Data Analytics, Security, and AI. We help startups and enterprises build scalable, secure, and high-performing cloud environments on AWS.

Learn more about us at: comprinno.net

Job Title : DevOps / Infrastructure Engineer

Experience : 3+ Years

Location : Gurugram Sector 48

Work Mode : 6 Days WFO (Monday to Saturday) / 01st & 03rd Saturdays are off

Employment Type : Full-time

Role Overview :

We are looking for a DevOps / Infrastructure Engineer with strong hands-on experience in Linux administration, Jenkins, Docker, networking, bare-metal servers, AWS, Redis, and MongoDB. The candidate should be capable of independently troubleshooting infrastructure, deployment, networking, and application-related issues in production environments.

Mandatory / Non-Negotiable Skills :

• Strong hands-on experience with Linux Administration & Troubleshooting.Strong experience with Jenkins and CI/CD pipelines.
• Hands-on experience with Docker and containerized environments.
• Strong understanding of Networking concepts – TCP/IP, DNS, HTTP/HTTPS, ports, routing, firewalls, load balancing, etc.
• Hands-on experience with Bare Metal Servers / Server Administration.
• Strong hands-on experience with AWS (EC2, VPC, IAM, Security Groups, Load Balancers, S3 & CloudWatch)
• Working knowledge of Redis
• Working knowledge of MongoDB
• Strong production troubleshooting and incident-resolution skills

Key Responsibilities :

• Manage, configure, monitor, and troubleshoot Linux and bare-metal servers
• Build, maintain, and troubleshoot Jenkins CI/CD pipelines
• Deploy, manage, and troubleshoot applications using Docker
• Manage and troubleshoot AWS infrastructure and services
• Configure and maintain networking, security groups, firewalls, ports, and connectivity
• Support and maintain Redis and MongoDB environments
• Perform server health checks, log analysis, performance troubleshooting, and incident resolution
• Work closely with development teams to support application deployments
• Identify root causes of infrastructure and production issues and implement preventive solutions
• Maintain infrastructure security, availability, and reliability
• Automate repetitive operational tasks wherever possible

Required Candidate Profile :

• 3+ years of relevant experience in DevOps, Infrastructure, System Administration, or related roles.
• Strong hands-on / production experience with all mandatory technologies.
• Good understanding of Linux systems and infrastructure.
• Strong troubleshooting and problem-solving abilities.
• Ability to take ownership of production infrastructure and deployment issues.
• Good communication and collaboration skills.

We are looking for an AWS Data Engineer to build reliable, scalable data pipelines on AWS.

Responsibilities

• Build ETL and ELT pipelines with AWS Glue and dbt
• Model and optimise data warehouses in Redshift and Snowflake
• Orchestrate workflows with Apache Airflow
• Build streaming ingestion with Amazon Kinesis
• Ensure data quality, monitoring and cost efficiency

Requirements

• 2+ years of data engineering on AWS
• Hands-on with Glue, Redshift or Snowflake, and Airflow
• Strong data modelling and warehousing skills

We are looking for an AWS Solutions Architect to design secure, scalable cloud architectures.

Responsibilities

• Design AWS solutions following the Well-Architected Framework
• Build serverless architectures with AWS Lambda
• Define infrastructure with CloudFormation
• Design networking and security with VPC and IAM
• Guide engineering teams on cloud best practices and cost

Requirements

• 6+ years in cloud or software engineering, including 3+ on AWS
• AWS Solutions Architect certification preferred
• Strong networking and security knowledge

🚀 Hiring – Senior Full Stack Engineer | Java / Node.js / AWS 🚀

We are looking for an experienced Senior Full Stack Engineer with strong hands-on expertise in Java, Node.js, Frontend technologies and AWS Cloud.

🔹 Experience: 8+ Years

🔑 Mandatory Skills

✅ Java / Spring Boot

✅ Node.js – Backend

✅ REST APIs

✅ Microservices / SOA

✅ React / Angular / Vue.js

✅ AWS Cloud & Architecture

✅ AWS CDK – Must Have

✅ CloudFormation

✅ AWS Lambda

✅ Docker / Containerization

✅ CI/CD

✅ MongoDB

📌 Key Responsibilities

Design and develop scalable applications using Java, Spring Boot and Node.js.

Build and integrate REST APIs and microservices.

Develop responsive frontend applications using React, Angular or Vue.js.

Design and deploy cloud-native solutions on AWS.

Work with AWS CDK, CloudFormation, Lambda, ECS/EKS and API Gateway.

Build and manage Docker containers and integrate applications with CI/CD pipelines.

Work with MongoDB and event-driven architectures.

Support cloud migration from on-premise/PaaS applications to AWS.

Drive performance, reliability, security and cost optimization.

Participate in code reviews, TDD/BDD, Agile development and continuous improvement.

Provide production troubleshooting and participate in 24/7 on-call support rotation.

#Hiring #Java #SpringBoot #NodeJS #FullStackDeveloper #Microservices #ReactJS #Angular #AWS #AWSCDK #CloudFormation #Lambda #Docker #CICD #MongoDB #BangaloreJobs #HyderabadJobs #ITJobs

At Shipthis, we are building a better future for freight forwarders by evolving traditional operations into fully digital, efficient, and scalable systems. We’re a fast-growing product company where every individual has the opportunity to take ownership, move fast, and create real impact. If you enjoy solving complex problems, shaping products from the ground up, and influencing technical direction, Shipthis is the place for you.

Learn more at www.shipthis.co

Role Overview

We are looking for an associate-level SecOps Engineer to support security operations, compliance, endpoint management, cloud infrastructure, and DevOps engineering. The role will work closely with the CTO/CISO and engineering team. Security and compliance are core responsibilities; when those priorities are lighter, the engineer will focus on CI/CD, infrastructure automation, reliability, monitoring, performance, and cloud cost optimization.

What You’ll be Doing

Security Operations

• Monitor infrastructure, application, and security alerts and assist with incident investigation.
• Review access controls, privileged accounts, service accounts, permissions, and periodic access reviews.
• Support infrastructure hardening, logging, monitoring, backup, recovery, and other security controls.
• Track security issues and corrective actions through closure.

Vulnerability Management

• Run and review application and infrastructure vulnerability scans.
• Maintain a vulnerability register and coordinate remediation with engineering teams.
• Support VAPT and penetration-testing exercises and validate closure of findings.
• Monitor dependencies, containers, operating systems, and cloud infrastructure for known vulnerabilities and patching needs.

Compliance & Governance

• Support ongoing ISO/IEC 27001, SOC 2, GDPR, customer-security, and internal-policy requirements.
• Maintain audit evidence, control registers, security policies, procedures, risk items, and remediation records.
• Assist with internal/external audits, vendor assessments, customer security questionnaires, and asset inventories.
• Maintain evidence for access reviews, vulnerability management, incidents, onboarding/offboarding, backups, and infrastructure changes.

MDM & Endpoint Security

• Administer the company MDM platform and enroll/manage company laptops, desktops, and mobile devices.
• Maintain device inventory and monitor endpoint compliance.
• Enforce approved controls such as disk encryption, screen locks, password requirements, patching, and endpoint protection.
• Support employee device onboarding/offboarding, approved application deployment, lost/stolen-device procedures, and remote wipe where authorized.
• Maintain endpoint security and MDM evidence required for audits and troubleshoot enrollment or policy issues.

DevOps, CI/CD & Cloud

• Maintain and improve CI/CD pipelines, deployment workflows, build times, caching, and rollback processes.
• Support production and non-production cloud infrastructure, networking, DNS, TLS certificates, IAM, and secrets.
• Automate repetitive deployment, infrastructure, security, and compliance tasks.
• Improve monitoring, logging, alerting, reliability, resource utilization, and cloud costs.
• Troubleshoot pipeline, deployment, and infrastructure issues and participate in root-cause analysis.

Required Fundamentals

• Basic knowledge of Linux, networking, HTTP/HTTPS, DNS, TLS, Git, Docker, cloud computing, APIs, and web applications.
• Understanding of IAM, MFA, least privilege, vulnerabilities/CVEs, encryption, logging, patching, and secrets management.
• Strong troubleshooting, ownership, attention to detail, and willingness to learn.

Desired Qualifications

• 1–2 years of experience with strong fundamentals are welcome.
• Basic scripting knowledge in Python, Bash, or similar.
• Interest in cybersecurity, cloud infrastructure, automation, and troubleshooting.
• Exposure to AWS/GCP/Azure, Terraform, GitHub Actions, Cloudflare, OWASP, vulnerability scanners, MDM, ISO 27001, or SOC 2 is a plus, not mandatory.

We Welcome Candidates:

• Who can join immediately
• Female candidates returning to work after a career break are strongly encouraged.

We are an equal opportunity employer and are committed to fostering diversity and inclusivity. We do not discriminate based on race, religion, color, gender, sexual orientation, age, marital status, or disability status.

Job Synopsys

Location: Bangalore

Job Type: Full-time, Permanent

Experience: 1-2 years

Industry: Software Product

ABOUT

The Persona Labs is building a new kind of social platform focused on something most social products do not explicitly optimize for: helping people become real friends.

We want to help people discover interesting people around them, find meaningful common ground, start low-pressure interactions, continue promising conversations, create shared experiences, and ultimately build real-life friendships.

DISCOVER → CURIOSITY → COMPATIBILITY → INTERACTION → UNDERSTAND → IRL EXPERIENCE → FRIENDSHIP

THE AI LAYER

Alongside the platform, we are building a proactive personal companion that learns about the user and helps them navigate this journey through personalized recommendations, suggestions, reminders and experiences.

THE OPPORTUNITY

We are looking for a Founding Product Engineer to help build the platform from the ground up. This is a 0→1 product engineering role where you work directly with the founder and engineering team to turn ambiguous product problems into working software.

You will be expected to:

Understand the problem → explore solutions → make trade-offs → design → build → ship → measure → improve.

WHAT YOU WILL BUILD & OWN

MOBILE

Onboarding, profiles, discovery, interactions, messaging, activities, and companion experiences.

SOCIAL SYSTEMS

Relationships, social graph, compatibility, and interaction flows.

BACKEND

APIs, services, authentication, notifications, and background processes.

DATA

PostgreSQL models, user/activity data, analytics, and behavioural signals.

REAL-TIME

Messaging, live interactions, notifications, and event-driven workflows.

AI-ENABLED

Recommendations, personalization, and companion-powered experiences.

INFRASTRUCTURE

Cloud deployment, CI/CD, monitoring, reliability, and cost management.

WHAT YOUR DAY-TO-DAY LOOKS LIKE

• Build and ship mobile and full-stack product features end-to-end.

• Design APIs, database models, and backend services for a social product.

• Translate ambiguous product problems into simple, reliable technical solutions.

• Make architecture and engineering trade-offs for performance, scalability, security, and cost.

• Work closely with the founder, product/design team, and Companion Intelligence engineer.

• Prototype quickly, test assumptions, and iterate based on user behaviour and product feedback.

• Own features from problem → architecture → implementation → deployment → improvement.

• Help establish engineering practices around testing, monitoring, security, and reliability.

WHO SHOULD APPLY

• Experience: 0–4 years, including exceptional fresh graduates. Strong 1–3 year engineers and experienced 3–4 year product builders are welcome.

• Fundamentals: Strong CS/software engineering fundamentals.

• Evidence of Building: We value what you have built more than the number of years on your résumé. Shipped apps, strong side projects, hackathons, internships, open source, or startup work are highly valued.

• Mindset: High ownership, curiosity, strong fundamentals, clear communication, learning velocity, and the ability to work through ambiguity.

WHAT WE LOOK FOR

MOBILE CAPABILITY

Can you build and ship a polished mobile experience?

ENGINEERING DEPTH

Do you understand why a system works, not just how to make it run?

PRODUCT JUDGMENT

Can you determine what should be built when the problem is ambiguous?

ARCHITECTURE / SYSTEMS

Can you reason across APIs, databases, services, real-time systems, scale, and cost?

SPEED OF EXECUTION

Can you move from idea → prototype → production quickly without compromising fundamentals?

AI FAMILIARITY

Do you understand how modern AI can become a useful, reliable product capability?

BUILD WITH US

You will join at a stage where many answers do not exist yet. You will not simply implement someone else’s architecture, you will help decide what the architecture and product should become.

CAREERS:

Apply with your resume, GitHub, portfolio or shipped work.

https://forms.gle/12YpUSBY2Sqs5xjp8

www.thepersonalabs.com

Job Summary

We are looking for an experienced Senior Java + Angular Developer with 8+ years of strong hands-on experience in designing and developing scalable enterprise applications. The ideal candidate should have strong expertise in Java, Spring Boot, Angular, REST APIs, Microservices, and SQL, along with experience in delivering end-to-end applications.

Key Responsibilities

• Design, develop, and maintain scalable applications using Java, Spring Boot, and Angular.
• Develop and maintain RESTful APIs and Microservices.
• Build responsive and reusable front-end components using Angular.
• Work with TypeScript, HTML, CSS, JavaScript, and Angular frameworks.
• Develop business logic and backend services using Core Java and Spring Boot.
• Design and implement database solutions using SQL and relational databases.
• Integrate front-end applications with backend REST APIs and external systems.
• Implement secure, scalable, and high-performance application architecture.
• Perform code reviews and ensure adherence to coding and design standards.
• Troubleshoot application issues and perform root-cause analysis.
• Write unit and integration tests and ensure code quality.
• Collaborate with product owners, business analysts, QA engineers, and other development teams.
• Participate in requirement analysis, technical design, development, testing, deployment, and production support.
• Mentor junior developers and contribute to technical decisions and best practices.

Required Skills

• 8+ years of software development experience.
• Strong hands-on experience in Java/J2EE.
• Strong experience with Spring Boot and Spring Framework.
• Good experience in Microservices architecture.
• Strong hands-on experience with Angular 8+.
• Strong knowledge of TypeScript, JavaScript, HTML5, and CSS3.
• Experience developing and consuming REST APIs.
• Strong knowledge of SQL and relational databases such as MySQL, PostgreSQL, or Oracle.
• Good understanding of Object-Oriented Programming, design patterns, and data structures.
• Experience with Git and CI/CD practices.
• Good understanding of Agile/Scrum development methodologies.
• Strong debugging, troubleshooting, and problem-solving skills.

Good to Have

• Experience with AWS / Azure / GCP.
• Knowledge of Docker and Kubernetes.
• Experience with Kafka or other messaging systems.
• Experience with CI/CD tools such as Jenkins, GitLab CI, or Azure DevOps.
• Knowledge of Spring Security / OAuth2 / JWT.
• Experience with performance optimization and distributed systems.

🚀 Hiring – AWS / Kubernetes / OpenShift Engineer

📍 Location: Bangalore

💼 Experience: 7–10 Years

⚡ Joining: Immediate Joiners Only

🔑 Required Skills

• Strong hands-on experience in AWS
• Expertise in Kubernetes & OpenShift
• Strong Linux Administration & Troubleshooting
• Experience in containerized environments and platform operations
• Production support, monitoring and incident troubleshooting
• Good understanding of cloud and infrastructure technologies

📌 Interview Process

2nd Round – Face-to-Face Interview in Bangalore

👉 Please share profiles of candidates who are available for a F2F interview in Bangalore.

#Hiring #AWS #Kubernetes #OpenShift #Linux #CloudEngineer #PlatformEngineer #DevOps #BangaloreJobs #ImmediateJoiners #WFO #ITJobs

Job Summary:

We are looking for an experienced Cloud / DevOps Engineer with strong hands-on experience in AWS, Kubernetes, OpenShift, and Linux. The candidate will be responsible for managing cloud infrastructure, containerized applications, deployments, and production environments.

Roles & Responsibilities:

• Design, deploy, and manage cloud infrastructure on AWS.
• Manage and administer Kubernetes and OpenShift environments.
• Deploy, configure, and troubleshoot containerized applications.
• Perform Linux administration, troubleshooting, and system monitoring.
• Monitor application and infrastructure performance and resolve production issues.
• Automate deployment and operational activities wherever possible.
• Work with development and operations teams to support application deployments.
• Ensure system availability, reliability, and security.
• Troubleshoot issues related to Kubernetes clusters, containers, networking, and Linux systems.
• Follow DevOps best practices for CI/CD, infrastructure management, and automation.

Required Skills:

• 7–10 years of relevant experience in Cloud/DevOps.
• Strong hands-on experience with AWS.
• Good knowledge of Kubernetes and OpenShift.
• Strong Linux administration and troubleshooting skills.
• Experience in containerization and deployment of applications.
• Good understanding of cloud infrastructure and production support.

Job Description:

We are looking for a Cloud Network Engineer with strong experience in AWS/Azure cloud platforms and networking. The candidate should have hands-on experience in LAN, WAN, network troubleshooting, and cloud networking.

Key Responsibilities:

• Manage and support networking infrastructure across AWS or Azure cloud environments.
• Configure and troubleshoot LAN/WAN networks and connectivity issues.
• Monitor network performance and resolve network-related incidents.
• Work with cloud networking components such as VPC/VNet, subnets, routing, VPN, and security groups.
• Troubleshoot connectivity between on-premises and cloud environments.
• Analyze and resolve network performance, latency, and connectivity issues.
• Collaborate with infrastructure, security, and application teams for network-related requirements.
• Perform network configuration, maintenance, and troubleshooting activities.
• Follow network security and infrastructure best practices.

Mandatory Skills:

• 6.5 years of relevant experience in Cloud Networking.
• Strong hands-on experience in AWS or Azure.
• Good knowledge of LAN, WAN, TCP/IP, DNS, DHCP and routing.
• Strong network troubleshooting skills.
• Experience with VPN, subnets, routing tables and firewalls.
• Good understanding of cloud networking concepts.
• Good communication and problem-solving skills.

Cloud Network Engineer – Job Description

Location: Hyderabad

Experience: 6.5+ Years

Role: Cloud Network Engineer

Job Summary

We are looking for an experienced Cloud Network Engineer with strong expertise in AWS or Azure networking and hands-on experience in LAN/WAN infrastructure, network troubleshooting, and cloud connectivity.

Key Responsibilities

• Design, implement, and support cloud networking infrastructure across AWS or Azure.
• Manage and troubleshoot LAN, WAN, VPN, routing, switching, and network connectivity issues.
• Configure and manage VPC/VNet, subnets, route tables, security groups, and network ACLs.
• Monitor network performance, identify bottlenecks, and resolve connectivity issues.
• Work with firewalls, load balancers, DNS, DHCP, TCP/IP, and VPN technologies.
• Support connectivity between on-premises data centers and cloud environments.
• Perform root-cause analysis and troubleshoot complex network incidents.
• Collaborate with cloud, infrastructure, security, and application teams for network requirements.
• Maintain network documentation, configurations, and operational procedures.

Must-Have Skills

• 6.5+ years of experience in Network Engineering.
• Strong hands-on experience in AWS or Azure Networking.
• Good knowledge of LAN/WAN, TCP/IP, routing, and switching.
• Strong network troubleshooting and problem-solving skills.
• Experience with VPN, DNS, DHCP, firewalls, and load balancing.
• Experience with cloud-to-on-premises connectivity.
• Good understanding of network security concepts.

Work Location: Hyderabad.

About StrideOne:

StrideOne is a unified tech-enabled financial platform and NBFC focused on enabling MSMEs and SMEs through structured credit solutions, receivables financing, and receivables management. We are designed to simplify access to capital, improve cash flow visibility, and support risk-aware financial decision-making for growing businesses across industries. With a steadily growing disbursement footprint, an expanding anchor network, and established partnerships with multiple lending institutions, StrideOne is entering its next phase of growth. The organisation is building a financial ecosystem that combines lending, receivables management, and data-driven workflows, positioning itself to scale sustainably while maintaining strong governance, portfolio quality, and operational discipline.

Key Responsibilities:

Architect & Design: Design and implement highly scalable, available, and secure web applications. You’ll be responsible for designing multi-tenant architectures, ensuring data isolation, and leveraging modern cloud infrastructure to ensure the platform scales efficiently.

Security Focused Development: Develop and enforce secure coding standards and best practices for cloud-based applications and APIs. Conduct regular code reviews with a focus on security vulnerabilities.

API & Microservices Design: Design and implement secure, scalable, and maintainable APIs and microservices that integrate seamlessly with the platform. Ensure the use of best practices for service discovery, communication, and fault tolerance.

Performance Optimization: Identify and resolve performance bottlenecks in the application and infrastructure, ensuring scalability and responsiveness under varying load conditions.

Compliance & Regulatory Requirements: Ensure that applications comply with industry standards and regulations (e.g., GDPR, HIPAA, SOC 2, ISO 27001). Assist with audits and security certifications.

Collaboration & Leadership: Work closely with product managers, QA engineers, and other stakeholders to define and implement new features and improvements. Collaborate with the infrastructure team to ensure seamless deployment and scaling of the application. Also mentor and guide junior engineers on secure coding practices and development techniques.

Security Automation & Monitoring: Implement logging, monitoring, and alerting systems to continuously assess the security posture of the application. Stay up to date with the latest security trends, vulnerabilities, and best practices. Promote security awareness and training within the engineering team.

Qualifications:

Experience: 2+ years of experience in software engineering, with a focus on developing secure and scalable multi-tenant web applications with customer data isolation and tenant-specific configurations.

Tech Stack: Proficiency in modern web technologies (Python is a plus), relational databases, and cloud platforms (AWS, Azure, GCP).

Microservices Architecture: Strong experience designing and developing microservices-based architectures. Familiarity with service discovery, API Gateway, inter-service communication, and distributed systems principles.

Scalability & Performance: Experience with designing highly scalable and performant systems. Knowledge of caching, database sharding, partitioning, and high-throughput systems.

Security Expertise: Understanding of cloud security principles, cryptography, identity and access management (IAM), and secure coding practices.

Analytical Skills: Strong problem-solving skills with the ability to analyze complex security issues and provide practical solutions.

Soft Skills: Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders. Experience working in agile, collaborative environments.

About StrideOne

StrideOne is a leading fintech platform enabling businesses with innovative supply chain finance and working capital solutions. We partner with enterprises, MSMEs, and financial institutions to simplify access to credit through technology-driven lending solutions. At StrideOne, you'll work in a fast-paced, collaborative environment where innovation, ownership, and continuous learning are encouraged.

About the Role

We're building Credit Engine, a lending platform on top of Apache Fineract that powers credit assessment, disbursement, repayment, and portfolio management for our clients. We're looking for a Java Developer to help build and scale the backend services behind these workflows.

What You'll Work On

• Build and maintain backend services for lending functions — organisation/office management, portfolio and product configuration, cash margin engines, and credit workflows.
• Design and consume REST APIs integrating with internal modules and external banking/financial partners.
• Extend Apache Fineract to support custom lending products and business rules.
• Design and optimize MySQL schemas/queries for transactional, audit-heavy financial data.
• Translate lending/credit policies (interest computation, grace periods, margin calculations) into tested, production-grade code.
• Debug production issues in systems handling real money movement, with focus on correctness and data integrity.
• Participate in code reviews and API/service design discussions.

Must-Have Skills

• 2+ years hands-on Core Java (Java 8+) — OOP, collections, concurrency basics.
• Experience building REST APIs with Spring Boot.
• Strong MySQL skills — schema design, indexing, query optimization, transactions.
• Understanding of transactional consistency, data integrity, and audit trails.
• Comfortable with Git-based collaborative workflows.

Good to Have

• Experience with Apache Fineract or similar core banking/lending platforms.
• Exposure to microservices, message queues, or event-driven systems.
• Familiarity with cloud platforms (AWS/GCP/Azure) and CI/CD.
• Frontend exposure (Angular/React) for API contract collaboration.
• Prior experience in fintech, NBFC, banking, or supply chain finance

This is a remote position.

About Leegality:

Leegality works with large Indian businesses to digitally transform critical compliance processes in a fast, easy and secure way.

We have multiple products across 2 categories:

Document Infrastructure:

Products that help businesses build paperless processes at scale:

1. Document Execution Workflow: A unified platform for businesses to digitally execute (eSign, eStamp, Template Pre-fill, Document Fraud Prevention etc.) agreements, forms and other documents in a compliant way. Currently in use by 2000+ Indian businesses from giants like HDFC and SBI Cards to high-growth disruptors like goDigit and Cars24.
2. Contract Management: An AI-powered platform for businesses to quickly review, negotiate and take action on contracts
3. Signstation: A simple platform for businesses to digitally sign simple documents like invoices, policies and letters in a cost effective manner

Consent Infrastructure:

1. Consentin: An end-to-end DPDP and Privacy compliance platform for Indian businesses
2. Consentin Lens: A data discovery platform for businesses to identify the personal data they collect and store.

If you’re interested in building mission critical software that operates at population scale (75 million + Indians have signed at least one document through Leegality) then join Leegality.

Curious about our impact? Explore our customer success stories: leegality.com/case-studies

Our Culture

At Leegality, trust, ownership, transparency, and having fun while doing meaningful work are core to how we operate — not just values on paper. Our team rated us an incredible 97 eNPS for FY 2023–24 — the highest among 175+ startups surveyed.

We focus deeply on helping our people grow and stay motivated. Some of the perks you’ll enjoy:

• Flexible working hours
• Hybrid work setup
• Bi-annual performance appraisals
• A culture that rewards initiative, curiosity, and impact

If you're looking for a place where you can make a real difference while working with smart, driven, and genuinely nice people, welcome to Leegality.

Location: Hybrid

Role Overview

We are looking for a Technical Lead – Python to lead the design, development, and evolution of scalable backend systems that power Leegality's products. This role combines hands-on backend development with technical leadership, enabling you to influence architecture, mentor engineers, and drive engineering excellence across the team.

You will work closely with Product, Design, QA, DevOps, and other engineering teams to build reliable, secure, and high-performance applications while fostering a culture of ownership, collaboration, and continuous improvement.

Key Responsibilities

• Lead the design, development, and maintenance of scalable backend applications using Python.
• Own the technical architecture of backend systems, ensuring scalability, reliability, maintainability, and security.
• Design, develop, and optimize RESTful APIs and microservices for high-performance applications.
• Drive architectural decisions, establish engineering best practices, and promote clean, maintainable code.
• Conduct code reviews and mentor engineers through technical guidance, pair programming, and knowledge sharing.
• Lead technical estimation, sprint planning, solution design, and execution for engineering initiatives.
• Optimize application performance through database tuning, caching, asynchronous processing, and efficient system design.
• Ensure high code quality through unit testing, integration testing, CI/CD pipelines, and automated deployment practices.
• Troubleshoot and resolve complex production issues while driving root cause analysis and long-term improvements.
• Evaluate and adopt new technologies, frameworks, and engineering practices to continuously improve the platform.
• Build and foster a high-performing engineering culture focused on collaboration, accountability, innovation, and continuous learning.

Desired Skills

• 7–11 years of experience in backend software development, with at least 2–4 years in a technical leadership role.
• Strong proficiency in Python and object-oriented programming concepts.
• Hands-on experience with Python frameworks such as Django, Flask, or FastAPI.
• Strong understanding of RESTful API design and development, authentication mechanisms (JWT/OAuth), and API security best practices.
• Experience designing scalable backend architectures, distributed systems, and microservices.
• Strong knowledge of relational databases such as MySQL or PostgreSQL, with experience in query optimization, indexing, and schema design.
• Exposure to NoSQL databases such as MongoDB and caching technologies like Redis.
• Experience with cloud platforms such as AWS, containerization using Docker, orchestration using Kubernetes, and CI/CD pipelines.
• Strong understanding of software engineering best practices, including design patterns, SOLID principles, code reviews, testing, and documentation.
• Experience with version control systems such as Git and modern development workflows.
• Excellent analytical, problem-solving, communication, and stakeholder management skills.
• Ability to balance hands-on development with technical leadership and delivery ownership in a fast-paced product environment.
• Experience working in SaaS or product-based organizations is preferred.
• Exposure to AI-assisted development tools such as GitHub Copilot, Cursor, or ChatGPT is an added advantage.

Senior Data Engineer – PySpark & Oracle

Experience: 7+ Years

Location: Bangalore

Notice Period: Immediate to 10 Days

Key Skills:

• Strong expertise in Data Modeling, Data Design & Modernization
• Primary skills: PySpark, Oracle SQL/PLSQL
• Secondary skills: Python, ETL & Data Pipelines
• Experience with Kafka and Hadoop
• Exposure to AWS / Azure / GCP
• Good knowledge of Git and JIRA

Roles & Responsibilities:

• Design, develop, and modernize scalable data models and data architecture.
• Develop and optimize data processing solutions using PySpark and Oracle SQL/PLSQL.
• Build and maintain robust ETL workflows and data pipelines.
• Work with Kafka, Hadoop, and cloud platforms for data processing and integration.
• Perform data transformation, optimization, and performance tuning.
• Collaborate with technical teams on data design, development, testing, and deployment.

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 Role

Full Stack Developer – .NET Core & React

Key Responsibilities

• Design, develop, and maintain scalable web applications using .NET Core (ASP.NET Core) and React.js.
• Build and consume RESTful APIs and microservices.
• Develop responsive and user-friendly front-end applications using React.js.
• Collaborate with business stakeholders, product owners, and technical teams to gather requirements and translate them into effective technical solutions.
• Write clean, maintainable, and high-quality code following industry best practices.
• Participate in code reviews, design discussions, and technical planning.
• Deploy, manage, and troubleshoot applications running on Kubernetes.
• Work closely with DevOps teams to support CI/CD pipelines and release activities.
• Optimize application performance, scalability, and reliability.
• Troubleshoot and resolve production issues and provide ongoing application support.
• Contribute to technical documentation and knowledge-sharing initiatives.

Required Skills

• 2–7 years of software development experience.
• Strong hands-on experience with C# and .NET Core / ASP.NET Core.
• Strong experience in React.js development.
• Experience building REST APIs and microservices.
• Hands-on experience with Kubernetes.
• Experience with SQL Server or other relational databases.
• Good understanding of Git version control and CI/CD practices.
• Strong problem-solving and debugging skills.
• Excellent communication and stakeholder management skills.

Good to Have

• Experience with AWS services such as:
• EC2
• EKS
• S3
• Lambda
• CloudWatch
• IAM
• Experience with Docker and containerized application deployment.
• Exposure to Agile/Scrum development methodologies.

Job Summary:

We are looking for a Senior Full Stack Engineer with 8+ years of experience in designing, developing, and maintaining scalable web applications. The candidate should have strong experience in Java, Node.js, AWS, React, and Angular, with the ability to work across both frontend and backend technologies.

Roles & Responsibilities:

• Design, develop, and maintain scalable full-stack applications.
• Develop backend services and APIs using Java and Node.js.
• Build responsive and user-friendly web applications using React and Angular.
• Design and integrate RESTful APIs and backend services.
• Deploy, manage, and troubleshoot applications on AWS cloud services.
• Work with databases and ensure efficient data management.
• Collaborate with product, QA, and other engineering teams.
• Perform code reviews and ensure coding standards and best practices.
• Troubleshoot production issues and provide effective solutions.
• Participate in Agile development, sprint planning, and technical discussions.
• Contribute to application performance, scalability, security, and reliability.

Mandatory Skills:

• 8+ years of experience in software/full-stack development.
• Strong hands-on experience in Java and Node.js.
• Strong experience in React and Angular.
• Good hands-on experience with AWS.
• Experience in developing and integrating REST APIs.
• Strong understanding of full-stack application development.
• Good problem-solving and communication skills.

 The Role 

As a **DevOps Engineer** you'll own the infrastructure and delivery backbone that 

keeps our platform running as we grow. You'll build the CI/CD, cloud infrastructure, and 

observability that let a small, fast-moving team ship confidently — and you'll keep our AI and 

data workloads reliable and affordable at scale. 

This is a hands-on role with real ownership: you won't be maintaining someone else's setup, 

you'll be shaping ours. You'll work closely with the backend, AI/ML, and data teams to make 

deployment boring, incidents rare, and scaling a non-event. --- 

What You'll Own 

**CI/CD & developer experience** 

- Build and maintain fast, reliable CI/CD pipelines so engineers ship multiple times a day with 

confidence. - Make the path from commit to production simple, safe, and repeatable, with sensible 

automated testing, rollbacks, and release controls. 

**Cloud infrastructure & IaC** - Own our cloud infrastructure (AWS/GCP) end to end, managed as code (Terraform or 

similar) — no click-ops. - Design for scale and cost-efficiency as store and conversation volumes grow. 

**Containers & orchestration** - Run our services on containers/Kubernetes: deployments, autoscaling, networking, and 

resource management. - Support the specific needs of AI/ML workloads, including GPU-backed inference and batch 

processing for the speech pipeline. 

**Reliability & observability (SRE)** - Own uptime, performance, and incident response — monitoring, logging, tracing, alerting, 

on-call, and blameless postmortems. - Define and defend SLOs; keep the platform dependable as it scales across clients. 

**Data & pipeline infrastructure** - Support the infrastructure behind large-scale, edge-to-cloud data movement and 

processing (audio ingestion, ASR/AI pipelines, analytics). - Keep data workloads reliable, performant, and cost-aware. 

**Security & compliance** - Bake security into the platform: secrets management, IAM/least-privilege, encryption in 

transit and at rest, network hardening, and vulnerability management. - Support compliance readiness (including India's DPDP Act and enterprise-client security 

requirements) for a product that handles sensitive customer conversations. 

**Cost & scale** - Own cloud cost visibility and optimization; make scaling decisions that balance reliability 

and spend. --- 

What You'll Bring - 6+ years in DevOps, SRE, platform, or infrastructure engineering, running production 

systems at meaningful scale. - Strong hands-on experience with a major cloud provider (**AWS or Azure or GCP**) and 

Infrastructure-as-Code (**Terraform** or equivalent). - Solid experience with **containers and Kubernetes** in production. - Experience building and owning **CI/CD** pipelines (e.g. GitHub Actions, GitLab CI, 

Jenkins, Argo, or similar). 

- Comfort with a scripting/automation language (Python, Go, or Bash) and a strong 

automation-first mindset. - Real experience with **observability** (Prometheus/Grafana, ELK, Datadog, 

OpenTelemetry, or similar) and running incident response / on-call. - A security-conscious approach — secrets, IAM, encryption, and least-privilege as defaults. - Startup temperament: ownership, pragmatism, and a bias to automate and ship. - Based in or willing to relocate to Bangalore, and up for an onsite/hybrid, in-person team. 

Bonus Points - Experience running **ML/AI or GPU workloads** in production (inference serving, batch 

pipelines, model deployment). - Experience with data-intensive infrastructure — streaming/queues (Kafka, SQS), data 

pipelines, or large object/audio storage. - Exposure to **edge devices / IoT fleets**, OTA updates, or high-volume device-to-cloud 

ingestion. - Experience with compliance/security frameworks (SOC 2, ISO 27001, DPDP). - FinOps / cloud cost-optimization experience. - Early-stage startup experience. --- 

Why Join - Own infrastructure that's already live with leading retail brands and growing fast — real 

scale, real impact. - Work across genuinely interesting workloads: speech AI, GPU inference, large-scale data, 

and edge-to-cloud ingestion. - Small team, high ownership, direct line to engineering leadership — your decisions ship. - Build the platform foundation of a category-defining product from an

We are seeking a highly skilled Senior DevOps Engineer with 8+ years of professional experience to join our team. In this role, you will design, implement, and optimize cloud infrastructure and CI/CD processes.

You will collaborate closely with development, QA, and operations teams to deliver scalable, secure, automated, and reliable solutions on AWS.

The ideal candidate will have strong hands-on experience with AWS, Terraform, Git/GitHub, Jenkins, PowerShell, Python, AWS Systems Manager (SSM) Documents, and Active Directory (AD) administration, along with a passion for automation, efficiency, and operational excellence.

Key Responsibilities

• Design, build, and maintain scalable cloud infrastructure on AWS.
• Develop and manage Infrastructure as Code (IaC) using Terraform.
• Build, maintain, and optimize CI/CD pipelines using Jenkins and GitHub.
• Use AWS Systems Manager (SSM) to support operational automation and system administration.
• Automate system tasks and administrative workflows using PowerShell and other scripting languages.
• Create, maintain, and execute custom SSM Documents for configuration management, patching, automation, and troubleshooting.
• Manage and administer Active Directory (AD), including users, groups, permissions, policies, authentication, and integration with AWS services.
• Implement and manage version-control workflows in Git and GitHub.
• Ensure infrastructure and deployment processes follow best practices for security, reliability, scalability, and cost optimization.
• Monitor and troubleshoot production systems to ensure high availability, performance, and reliability.
• Collaborate with development teams to improve software delivery processes and release management.
• Mentor junior engineers and contribute to the development of DevOps standards and best practices.

Required Skills and Experience

• 8+ years of professional experience, including at least 4 years in DevOps or Site Reliability Engineering (SRE) roles.
• Strong hands-on experience with AWS services, including EC2, VPC, IAM, S3, EKS, Lambda, and related services.
• Proven expertise in Terraform for Infrastructure as Code.
• Experience administering both Linux and Windows operating systems.
• Experience designing and managing CI/CD pipelines using Jenkins and GitHub.
• Proficiency with Git workflows and source-code management best practices.
• Strong PowerShell scripting skills; familiarity with Python and/or Bash is a plus.
• Experience with AWS Systems Manager (SSM), including creating and managing SSM Documents.
• Hands-on experience managing Active Directory, including users, groups, policies, authentication, permissions, and AWS integration.
• Solid understanding of cloud networking, security, monitoring, and troubleshooting.
• Excellent problem-solving, communication, collaboration, and decision-making skills.

Nice-to-Have Skills

• Experience with containerization and orchestration technologies, such as Docker, Kubernetes, and Amazon EKS.
• Knowledge of monitoring and observability tools, such as Amazon CloudWatch, New Relic, and Sumo Logic.
• An AWS certification, such as AWS Certified DevOps Engineer – Professional or AWS Certified Solutions Architect.

Who You Are

• You are eager to learn new technologies and continuously improve your skills.
• You make sound decisions and take ownership of your work.
• You are proactive, self-motivated, and comfortable taking initiative.
• You are a strong communicator who enjoys collaborating with cross-functional teams.
• You are committed to improving processes, automation, reliability, and operational efficiency.

Cloud Infrastructure Engineer – BANG | 10+ Years

Location: Bangalore

Experience: 10+ Years

Job Description:

• Design, implement, and manage cloud infrastructure across AWS/Azure/GCP environments.
• Strong experience in cloud architecture, compute, storage, networking, and security.
• Manage VMs, VPC/VNet, load balancers, DNS, DHCP, firewalls, and IAM.
• Hands-on experience with Windows/Linux servers, VMware, virtualization, and infrastructure operations.
• Automate infrastructure provisioning and configuration using Terraform, Ansible, or similar tools.
• Monitor infrastructure performance, availability, and capacity using tools such as Grafana, Prometheus, or CloudWatch/Azure Monitor.
• Handle incident management, troubleshooting, disaster recovery, backup, and high-availability requirements.
• Work with cross-functional teams to support cloud migration, infrastructure upgrades, and production environments.
• Ensure infrastructure follows security, compliance, and operational best practices.

Must-Have Skills:

Cloud Infrastructure | AWS/Azure/GCP | Networking | Linux/Windows | VMware | Terraform | Ansible | DNS/DHCP | IAM | Monitoring | Backup & DR

Senior Software Engineer - I (Full Stack Developer) at Planview.

Location: Bengaluru, India

Experience: 6–10 Years

Work Mode: Hybrid — two days per week in the office (mandatory)

Team: Release and Verify Product Line

About the role

You will own full-stack feature delivery for Planview’s SaaS product line, working across backend services and frontend applications in a collaborative, hybrid environment.

Key responsibilities

• Design, build, and maintain full-stack features using C# / .NET Core and React.
• Design and implement RESTful APIs.
• Develop and maintain SQL Server schemas, queries, and stored procedures.
• Build automated end-to-end tests using Cypress and unit tests using Vitest.
• Manage Git/Bitbucket workflows, including branching, merging, rebasing, and pull request reviews.
• Build and maintain reliable CI/CD pipelines.
• Use AI-assisted engineering tools such as GitHub Copilot, Claude Code, or Cursor to support development, code reviews, and troubleshooting.
• Collaborate with QA, Product, and Design to deliver features end to end.
• Troubleshoot production issues with the DevOps team.
• Mentor junior engineers and contribute to engineering quality and review practices.

Required qualifications:

• 6–10 years of experience in full-stack software development.
• Strong experience with C# / .NET Core for scalable services and APIs.
• Strong experience building modern, responsive user interfaces with React.
• Experience with SQL Server schema design, queries, and performance fundamentals.
• Experience designing and integrating REST APIs.
• Proficiency with Git/Bitbucket, including branching strategies and pull request reviews.
• Experience building and maintaining CI/CD pipelines.
• Experience with Cypress for end-to-end test automation.
• Comfort using AI coding assistants in day-to-day software development. This may be evaluated during the interview process at the interviewer’s discretion.

Nice-to-have skills:

• Redis caching
• AWS or CloudFront
• ExtJS
• Vitest
• Docker
• AI/LLM integrations using Azure OpenAI, Semantic Kernel, or similar frameworks
• AI-powered code quality tools such as GitHub Copilot Autofix or SonarQube

Job Title: BDM – AWS Cloud Sales (Business Development / Sales Manager/DM – AWS/Cloud)

Location: Andheri E, Mumbai

Schedule: Mon to Fri, Onsite

Experience: 6-10 years

Key Requirements

• Proven experience in AWS Cloud sales/business development.

• Strong understanding of AWS services and cloud adoption journeys.

• AWS Cloud Practitioner certification (minimum) is mandatory.

• Good knowledge of AWS programs such as MAP, Funding Programs, WAFR, POC Credits, ISV/Startup programs, etc.

• Established working relationships with AWS Account Managers, Partner Development Managers, and the AWS ecosystem.

• Excellent communication, presentation, and stakeholder management skills.

• Strong client-facing and consultative selling capabilities.

• Good understanding of AWS AI/ML and Generative AI services (Amazon Bedrock, Amazon Q, SageMaker, etc.) and the ability to position AI-led solutions.

• Experience in solution-based selling in collaboration with pre-sales and technical teams.

• Self-driven individual with a strong network and proven track record of achieving sales targets.

Note: Prior cloud reseller experience is not mandatory. We are primarily looking for candidates with strong AWS cloud selling experience and a good understanding of the AWS partner ecosystem.

Read This Before Anything Else

We have 6 developers who can ship. What we don't have is someone who turns that into a real engineering function: real architecture, real leverage, real AI-driven advantage. If that gap sounds like an opportunity rather than a headache, you're in the right place. If it sounds like a lot of undefined work with no playbook handed to you, this one probably isn't for you. That's completely okay. There are plenty of great roles that fit differently.

About CraftMyPlate

CraftMyPlate is Hyderabad's go-to platform for food experiences for micro-events: house parties, birthdays, office celebrations, festive gatherings, and more. We're building the operating system for how India discovers, customises, and orders food for smaller events. We're backed by established founders and investors, and we're funded and growing fast. The next phase of that growth runs through engineering.

Where We Stand

Some numbers, because they matter more than adjectives. Order volume has grown 50x in two years, and we're compounding at roughly 3x year over year, without giving up equity to fund it. That means the business runs on its own economics. The growth is real demand, not runway bought with dilution, and every efficient architectural decision this role makes directly protects that.

Most people size up an opportunity by asking what's going to change in ten years. The more useful question, and the one this company is built around, is what won't change. People will keep gathering. They'll keep celebrating, hosting, and marking festivals, in 10 years and in 20. That permanence is the bet. You're not building infrastructure for a trend cycle. You're building for a category that outlasts the current AI wave, the next funding round, and probably us too.

The Technical Reality

Here's an honest read of the engineering problem, not a sanitized version of it.

Event-driven commerce doesn't scale like typical e-commerce. Demand isn't smooth, it's spiky: weekends, festival calendars, and event dates create real load concentration, and each order is tied to a hard deadline that can't slip the way a shipped package can. That has direct architectural consequences: systems need to handle bursty, unpredictable traffic without paying for idle capacity the rest of the time, which is exactly why we're serverless-first on AWS rather than running a fixed fleet sized for peak.

Underneath that, every order touches multiple systems that have to stay consistent: kitchen and vendor fulfillment status, inventory across partners, payment gateway settlement, and refunds, often in real time and often across more than one vendor for a single event. Getting that consistency right across SQL and NoSQL stores, without it becoming a source of support tickets and manual reconciliation, is a real architecture problem, not a CRUD problem.

The AI-agent layer is the next lever, and it's a business lever as much as a technical one. Every workflow we can hand to a well-orchestrated agent instead of a new hire is a workflow that scales without adding headcount, which is exactly how a company grows 3x a year without diluting equity to fund the team behind it. That's why agent orchestration across multiple LLMs, using LangGraph, sits in the "go deep" tier of this role rather than being a nice-to-have.

You'll likely find some of this framing right and some of it worth challenging once you're actually in the codebase. That's expected, and honestly preferred over someone who just nods along.

Why This Role Exists

You'll be the most senior technical person in the company, reporting directly to the founder. Not a manager brought in to run standups. An owner. You set the architecture, you write code yourself, and you make the team materially better. You also own where AI and automation take this company next, starting with our first in-house AI agent product (details shared in the interview), and expanding from there into how the company runs, department by department: HR, finance, marketing, design, development, all sitting on an engineering layer that you design.

If you've outgrown a role where you plan but don't build, or where good ideas die in a committee, this is built to be the opposite of that.

What You'll Own

• Architecture, end to end. Scalable, cost-efficient systems from day one, not "fix it later" engineering. You own the decisions and their long-term consequences.
• Hands-on building. You are still writing code and shipping. This isn't a seat where you review other people's work all day. You lead by building.
• The engineering team. Directly manage, mentor, and level up our 6 developers. Build the technical bar, the review culture, and the calibration that lets the team ship independently.
• The AI-agent roadmap. Own the architecture behind our first AI agent product, then the broader strategy for AI agents and automation across every function in the company, with engineering as the layer underneath all of it.
• Team scaling. Build the next layer of leads under you so execution quality scales without you being the bottleneck.
• Technical accountability. When something breaks, you fix it. You don't escalate and wait.

Our Stack, and the Depth We Expect

Not everything on this list needs the same level of mastery. Some of it you need to own at an architectural level. The rest you need to be strong enough to build yourself, direct the team on, or delegate to AI agents with confidence.

Go deep here. This is where the real architecture decisions live, and where the business impact is highest:

• AWS, serverless first. You should be genuinely well versed in AWS application development, not just "have used AWS." You should be able to design and guide serverless architecture (Lambda, API Gateway, DynamoDB, Step Functions, and similar) as our default way of building, because our demand curve is spiky by nature and fixed infrastructure is money left on the table.
• TypeScript, our primary language across backend and frontend.
• Agent orchestration across multiple LLMs, using LangGraph. This is core to our AI roadmap and our path to scaling operations without scaling headcount. You own how it's architected, not just how it's used.

Working proficiency. Build it yourself, direct the team, or hand it to an AI agent and know if the output is right.

This Is You If

• You've built and shipped real production systems yourself, not just reviewed other people's architecture from a distance.
• You go deep wherever the problem is, and you're comfortable owning the exact stack described above, not just "full-stack" in the abstract.
• You've made engineers around you measurably better, whether or not you've held the title for it yet.
• You're already using AI coding tools and agents seriously, like Claude, Cursor, or similar tools, as part of how you build, not as something you tried once. We'll likely explore this together in the interview.
• You have a bias toward leverage over hours. You'd rather automate or systematize a problem than grind through it. But when something's live and needs to be done right, you see it through completely, with no half-finished work.
• You want to build something for years, not land somewhere comfortable. We'll know the difference from how you talk about your last three years.

This Might Not Be the Right Fit If

• You'd prefer a stable, well-defined role with clear boundaries and someone else making the calls. That's a fair thing to want, just not what this is.
• You'd rather receive direction than bring us architecture and AI strategy yourself.
• You haven't yet gotten hands-on with AI coding tools in your daily work.
• You're drawn more to the title than the work behind it.

If none of that sounds like you, we'd love to hear from you.

Requirements

• 5 to 7 years of experience in software engineering, with real ownership of architecture-level decisions, not just feature delivery.
• Prior experience leading or mentoring engineers, formally or informally.
• Tier-1 or Tier-1+ engineering college strongly preferred (IIT, BITS, top NIT tier, or equivalent). We'll consider other institutions only with clearly commendable, verifiable work: real systems you can walk us through in depth, strong open-source contributions, or a track record that speaks for itself. Pedigree is a proxy for speed, not a checkbox. We test for the underlying ability regardless.
• Comfortable in an early-stage environment: undefined problems, few processes, and the expectation that you help define both.

Compensation

Competitive, with equity. We're formalizing a structured ESOP program alongside this hire. Specific numbers are discussed directly in later interview rounds.

If reading this got you a little excited about what you'd build here, we'd genuinely love to talk. If it didn't quite land, no hard feelings. We just want the right fit for both sides.

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 AI/ML Engineer to join our team. As AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real-world business problems. You will work closely with engineering teams, including software engineers, domain experts, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop io. Your role will involve researching cutting-edge algorithms and data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.

Responsibilities

● Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI

● AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.

● Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data

● Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics

● Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behaviour, and performance metrics

● Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems

● Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes

● Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions

● Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference.

Qualifications & Skills

● Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus

● Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects

● Proficiency in programming languages commonly used for AI/ML. Preferably Python

● Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.

● Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.

● Strong understanding of machine learning algorithms, statistics, and data structures

● Experience with data preprocessing, data wrangling, and feature engineering

● Knowledge of deep learning architectures, neural networks, and transfer learning

● Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment

● Solid understanding of software engineering principles and best practices for writing maintainable and scalable code

● Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions

● Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders

Role: Fullstack .NET Engineer

Experience: 10-18 Years

Employment Type: Full-time 

Location: Pune (Hybrid)

About the Role 

We are looking for an experienced Fullstack .NET Engineer to join our Pune engineering team. You will design, build, and maintain scalable, cloud-based applications end to end — from robust .NET Core APIs and services to responsive Angular front-ends deployed on AWS. Beyond hands-on delivery, you will help champion the responsible adoption of AI-assisted engineering practices across teams, raising the bar on productivity, quality, testing, documentation, onboarding, and delivery efficiency. 

This role suits a senior engineer who combines deep technical craftsmanship with strong communication and a collaborative mindset, and who is eager to shape how modern, AI-augmented software is built at scale. 

Key Responsibilities 

Design, develop, test, and maintain end-to-end features across the stack using .NET, .NET Core, and modern front-end technologies. 

Build and integrate secure, high-performance RESTful APIs and microservices. 

Develop responsive, maintainable user interfaces using Angular and modern JavaScript/TypeScript. 

Build, Deploy, and operate applications on AWS, leveraging core cloud services for compute, storage, messaging, and observability. 

Adoption of AI-assisted engineering practices across teams to improve productivity, code quality, testing, documentation, onboarding, and overall delivery efficiency. 

Write clean, well-tested, and well-documented code; contribute to automated testing and CI/CD pipelines. 

Collaborate closely with product managers, designers, and fellow engineers to translate requirements into reliable software. 

Participate in code reviews, technical design discussions, and continuous improvement of engineering standards. 

Mentor peers and help onboard new team members, sharing best practices and knowledge. 

Required Skills & Experience 

~10 years of professional software engineering experience in Fullstack development. 

Strong hands-on expertise in .NET and .NET Core with understanding of design patterns 

Proven experience in API development (RESTful services, microservices, integrations). 

Strong experience in Docker and Containerization  

Experience working with code quality tools (Ex.- SonarQube, Veracode),familiarity with secure code writing best practices 

Strong analytical and troubleshooting skills using tools like CloudWatch, Datadog. 

Solid front-end development skills with Angular and JavaScript/TypeScript. 

Practical experience building and deploying applications using AWS services. 

Strong understanding of software design principles, data structures, and testing practices. 

Hands-on experience with AI coding assistants and applying them within team workflows. 

Excellent communication skills — able to collaborate effectively and articulate technical concepts clearly. 

Experience working in Agile/Scrum delivery environments. 

Interest in and openness to adopting AI-assisted engineering tools and practices responsibly. 

We're looking for a Site Reliability Engineer to keep our production systems fast, reliable, and scalable. Sitting at the intersection of software engineering and operations, you'll treat infrastructure as code, automate away toil, and build the observability that lets us catch problems before customers do. You'll own uptime and on-call for critical services, lead incident response and blameless postmortems, and continuously harden the platform against failure. This role suits an engineer who is as comfortable debugging a production incident at 2 a.m. as they are writing the automation that prevents the next one.

Key Responsibilities

• Own reliability, availability, and performance of production services, including on-call rotation
• Build and maintain monitoring, alerting, and observability (metrics, logs, traces)
• Automate deployments, scaling, and operational tasks to reduce manual toil
• Manage containerized workloads on Kubernetes and cloud infrastructure
• Design and maintain CI/CD pipelines for safe, frequent releases
• Lead incident response and drive blameless postmortems with clear follow-ups
• Perform capacity planning, performance tuning, and cost optimization
• Define and track SLIs/SLOs and error budgets with product teams

Requirements

• 3+ years in SRE, DevOps, or production-focused engineering
• Strong Linux administration and hands-on Kubernetes experience
• Solid experience with monitoring/observability tools (Prometheus, Grafana, ELK, or similar)
• Cloud experience with AWS, GCP, or Azure
• CI/CD pipelines and infrastructure-as-code (Terraform, CloudFormation)
• Proficient scripting in Python and/or Bash

Nice to have

• Experience with service meshes, Helm, or GitOps (ArgoCD/Flux)
• Background in high-traffic or distributed systems

Senior / Staff Software Engineer – Backend Engineering

Experience: 7+ years

Location: India

Role Type: Individual Contributor | Hands-on Engineering

About the Role

Oddr is looking for a deeply hands-on Senior / Staff Software Engineer who combines strong backend engineering fundamentals with an AI-first way of building software.

This is not a traditional development role where AI is used only for code completion. We are looking for engineers who can understand a problem, design the right solution, define architectural and security guardrails, and then use AI aggressively to accelerate implementation without compromising quality.

You will be expected to code regularly, own solutions end-to-end, build POCs, drive technical design, review critical code, and help raise the engineering bar across the team.

This is not a people-management role.

What You’ll Do

• Design and build scalable, secure backend systems using C# / .NET.
• Own features from problem definition and architecture through coding and production delivery.
• Use AI coding tools such as Claude Code, Codex, Cursor or GitHub Copilot to accelerate development.
• Define the right context, constraints, tests and guardrails around AI-generated code.
• Build POCs and evaluate technical approaches before scaling them into production.
• Drive system design, API design, data modelling and integration decisions.
• Review code for correctness, security, performance and maintainability.
• Build automated tests, observability and validation into the development lifecycle.
• Mentor engineers through technical reviews, pairing and architecture discussions.
• Identify opportunities to create reusable engineering patterns, automation, agents or developer tooling.

What We’re Looking For

• 7+ years of software engineering experience building production systems.
• Strong hands-on expertise in C# and .NET / .NET Core.
• Strong system design and architecture skills.
• Experience with distributed systems, APIs, databases, asynchronous processing and cloud-native applications.
• Good understanding of Azure, CI/CD, containers and modern software delivery practices.
• Strong debugging and problem-solving skills.
• Experience using AI coding tools as a meaningful part of day-to-day software engineering.
• Ability to critically review AI-generated code and identify architectural, security or quality issues.
• Strong understanding of software design, testing and engineering best practices.

Nice to Have

• Experience with React / TypeScript.
• Experience in legal-tech, fintech, billing, payments or enterprise SaaS.
• Exposure to AI agents, RAG, MCP or LLM-powered applications.
• Experience building reusable engineering platforms, tooling or automation.
• Familiarity with SOC 2, ISO 27001 or other security/compliance environments.

What Great Looks Like

You can take a complex problem from:

Problem → Design → POC → Architecture → Code → Validation → Production

You know when to rely on engineering judgment, when to challenge the AI, and when to use AI to dramatically accelerate execution.

At Oddr, we are looking for engineers who can think deeply, build quickly and ship safely.

We are looking for a Backend Software Development Engineer with 6+ years building scalable, high-availability server-side systems. You'll design and own microservices and REST APIs, model data in SQL, and deploy on AWS, partnering with product and frontend teams end-to-end.

Mandatory skills

• 6+ years of backend development in Java and/or Python

• Strong hands-on experience designing microservices and RESTful APIs

• Solid database design and SQL optimization

• Production experience on AWS (or equivalent cloud)

• Strong CS fundamentals — data structures, concurrency, system design

• Experience owning services from design through production support

Role:  Senior Software Developer – SDE3

Experience: 8-12 Years

Employment Type: Full-time 

Location: Pune (Hybrid)

Job Description

We are seeking a highly skilled Senior Full-Stack Developer to design, develop, and deliver scalable, high-quality digital solutions. The ideal candidate combines deep expertise in modern microservices architecture, cloud platforms, and end-to-end feature delivery, with proficiency in agentic software development and a strong focus on engineering excellence, collaboration, and continuous innovation.

Responsibilities:

• Design and develop scalable, resilient applications using microservices architecture.

• Build end-to-end full-stack features, covering UI (React, TypeScript, Redux) and backend services.

• Develop Java (17+) / Spring Boot (3.x) microservices using Domain-Driven Design (DDD) and OpenAPI 3.x specifications.

• Implement event-driven architectures using Kafka, including topic design, consumer groups, and reliable message processing.

• Design optimized database schemas, write advanced SQL queries, and manage migrations using Liquibase within CI/CD pipelines.

• Lead low-level design (LLD) and define REST API and event contracts aligned with enterprise architecture standards.

• Conduct code reviews, enforce coding standards, and ensure high quality using SonarQube gates.

• Ensure high test coverage (>90%) using JUnit, Mockito, Testcontainers, Cucumber, Jest, and React Testing Library.

• Collaborate within Agile teams, mentor developers, and drive timely delivery of high-quality solutions.

• Leverage AWS, Docker, Kubernetes, CI/CD pipelines to improve productivity and system performance.

• Leverage AI-driven software engineering practices, including LLM-powered development tools, agentic AI workflows, code generation, automated testing, and AI-assisted debugging, to improve developer productivity, software quality, and delivery efficiency.

Required Qualification:

• Bachelor’s or Master’s degree in computer science, Information Technology, or a related field.

• Minimum 8 years of professional experience, including at least 5 years in full-stack development.

• Hands-on experience with microservices-based architecture and distributed systems.

• Strong understanding of functional programming, design patterns, and software architecture principles.

• Experience working in cloud environments (preferably AWS).

• Proficiency with CI/CD pipelines, Docker, and Kubernetes.

• Strong analytical thinking and problem-solving capabilities.

Must-Have Skills

• Strong proficiency in React.js, including Hooks, TypeScript, and state management using Redux Toolkit or React Query, along with testing frameworks such as Jest and React Testing Library.

• Extensive experience with Java 17+, Spring Boot 3.x, and the Spring ecosystem (Spring Cloud, Spring Security with OAuth 2.0), along with JPA/Hibernate.

• Hands-on experience with Apache Kafka, including topic design and managing consumer groups for event-driven architectures.

• Solid expertise in PostgreSQL, including schema design, performance tuning, indexing strategies, and database migration management using Liquibase.

• Proficiency in AI-assisted and agentic software development practices, with hands-on experience using AI coding assistants, autonomous development agents, and AI-enabled testing and code quality tools.

Good-to-Have Skills

• Experience with Redis, GraphQL, and AWS cloud services.

• Familiarity with AI-assisted development tools such as GitHub Copilot.

• Exposure to monitoring and observability tools like Kibana/ELK stack, Grafana, Glowroot, or Datadog.

• Experience working with modern development environments and IDEs (e.g., Kiro IDE).    

Most sales tools help you send emails. We’re building something different.

At Salesforge, we’re creating autonomous AI agents that can:

Find the right prospects

Generate highly personalized outreach

Run conversations

And book meetings

All without human involvement.

Why this is interesting

A lot of AI products stop at “generate text.” We’re focused on outcomes.

That means solving problems like:

How do you generate messages that actually get replies?

How do you evaluate and improve agent performance over time?

How do you orchestrate millions of AI-driven interactions reliably?

How do you combine structured data + LLMs in a way that scales?

If you enjoy working at the intersection of systems + AI + real-world feedback loops, this will feel like a playground.

What you’ll be working on

You won’t be maintaining legacy systems.

You’ll be:

Designing and building core backend systems that power our AI agents

Creating APIs and services that handle high-scale, real-time workflows

Working with queues (Kafka / SQS / RabbitMQ) to orchestrate async systems

Thinking deeply about performance, cost, and reliability in AI pipelines

Shipping features end-to-end with a small, senior team

The team

We’re a small group of experienced builders. We move quickly, care about quality, and avoid unnecessary process.

No layers of management.

No long planning cycles.

Lots of ownership and autonomy.

What we’re looking for

5+ years of backend engineering experience

Strong system design fundamentals

Experience with distributed systems and async processing

Familiarity with relational and/or document databases

Clear communicator, low ego, high ownership

Why join

You’ll work on a product where the output is measurable (meetings booked, revenue generated)

You’ll have real ownership from day one

You’ll be early in building a new category (AI sales agents)

You’ll grow as fast as we do

Job Overview

We are hiring a Senior Full-Stack Engineer to design and scale high-performance web applications. You will drive technical decisions using React, Node.js, and TypeScript while building event-driven cloud architectures.

Key Responsibilities

• Develop scalable frontend features using React and robust backend APIs with Node.js/TypeScript.
• Architect and deploy cloud-native microservices on AWS.
• Implement asynchronous communication using messaging tools like Kafka, RabbitMQ, SQS, or SNS.
• Optimize SQL/NoSQL databases and maintain automated CI/CD pipelines.
• Mentor junior developers and lead code reviews.

Required Skills

• 6+ years in full-stack software development.
• Mastery of TypeScript, React.js, and Node.js.
• Hands-on experience with AWS and modern messaging queues.
• Strong problem-solving and communication skills.

Location: Hyderabad

Job Title : Senior Backend Engineer – Node.js & TypeScript

Experience : 4+ Years

Employment Type : Contract – 3 Months

Location : Pune

Work Mode : On-site

Working Hours : 03:00 PM to 11:00 PM OR 03:00 PM to 12:00 AM

Time Zone : Minimum 4-hour overlap with Eastern Time (ET)

About the Role :

We are looking for a Senior Backend Engineer to design, develop, and scale an AI-led digital platform. The role involves working closely with the Founder/CEO and technical team on architecture, product development, innovation, and end-to-end feature ownership.

Mandatory Skills :

Node.js, TypeScript, REST, GraphQL, PostgreSQL, SQL, Prisma / TypeORM / Sequelize, AWS (ECS, EC2, S3, RDS, Lambda), Airbyte / dbt / Airflow / AWS Glue, Data Warehousing, Event-Driven Architecture, Message Queues, CI/CD, Automated Testing, Backend Architecture, Scalability & Performance.

Key Responsibilities :

• Design and develop scalable backend services using Node.js and TypeScript.
• Build and optimize REST and GraphQL APIs.
• Work with PostgreSQL, SQL, and ORMs such as Prisma / TypeORM / Sequelize.
• Design data pipelines using Airbyte, dbt, Airflow, or AWS Glue.
• Manage and optimize AWS infrastructure including ECS, EC2, S3, RDS, and Lambda.
• Implement CI/CD, automated testing, event-driven architectures, and message queues.
• Optimize API performance, scalability, reliability, and data warehouse solutions.
• Own features end-to-end from design to production.
• Participate in code reviews, on-call support, and production troubleshooting.
• Collaborate with Product, QA, and Engineering teams and mentor junior developers.
• Work closely with the Founder / CEO on technical solutioning and product innovation.

Requirements :

• 4+ years of hands-on Node.js & TypeScript backend development.
• Strong experience with AWS, PostgreSQL, SQL, APIs, and backend architecture.
• Hands-on experience with data pipelines and data warehousing.
• Experience with CI/CD, automated testing, event-driven systems, and message queues.
• Strong problem-solving skills and end-to-end ownership mindset.
• Ability to work independently in a fast-paced environment.
• Good communication and collaboration skills.
• Bachelor's degree in Computer Science, IT, or a related field.

Preferred :

• Terraform / CloudFormation and Infrastructure as Code.
• Docker / Kubernetes and strong DevOps exposure.
• AWS backup / disaster recovery experience.
• Exposure to GCP / Azure.
• Startup / early-stage product development experience.

* Design, develop, and maintain responsive websites and web applications.

* Build reusable frontend components using React.js.

* Develop scalable backend APIs and services using Node.js.

* Integrate third-party services and payment gateways such as Stripe.

* Build RESTful APIs and integrate with modern databases.

* Optimize applications for maximum speed, scalability, and SEO.

* Collaborate with designers to translate Figma/UI designs into pixel-perfect interfaces.

* Implement authentication, authorization, and security best practices.

* Debug production issues and improve application performance.

* Participate in code reviews and mentor junior developers.

* Work within Agile/Scrum development processes.

Job Role: Software Engineer – Backend & Cloud Infrastructure

Company: Appmaker by StarApps

Location: Kochi, Kerala (On-Site)

Experience: 3–6 Years

Employment Type: Full-time

About Appmaker by StarApps

At StarApps, we build high-scale tools like Appmaker(https://appmaker.xyz/) that empower thousands of global e-commerce merchants to turn their web stores into native mobile apps. We focus on low latency, cutting-edge serverless architectures, and building scalable software that handles millions of requests every day.

About the Role

We are looking for a Mid-Senior Backend & Cloud Infrastructure Engineer to join our core team on-site in Kochi. In this role, you will design, scale, and maintain high-throughput backend services and cloud infrastructure capable of supporting large user bases and handling millions of daily requests.

If you thrive in solving complex distributed system design challenges, optimizing cloud infrastructure, and taking ownership of core platform scaling, this role is for you!

Key Responsibilities

• Distributed Backend Systems: Architect, construct, and optimize core backend microservices and serverless applications built on Node.js and TypeScript.
• Cloud Infrastructure & DevOps: Manage, automate, and expand infrastructure across cloud platforms (AWS, GCP, or Azure) using IaC (Terraform, Ansible) and container technologies (Docker, Kubernetes).
• System Scalability & Performance: Design for high availability, implementing caching, load balancing, message queues, and database optimizations.
• Reliability & Observability: Troubleshoot complex production incidents, optimize system latency, enforce security standards, and maintain CI/CD and automated monitoring pipelines.
• Architecture Ownership: Own critical features and system components independently while collaborating on high-level architecture decisions.

What We’re Looking For

• Experience: 3–6 years of hands-on software development experience with a focus on backend software architecture, systems engineering, and infrastructure.
• Tech Stack: Strong mastery of Node.js, JavaScript, and TypeScript.
• Cloud & DevOps: Hands-on experience with Docker, Kubernetes, Terraform, Ansible, and major Cloud Providers (AWS, GCP, or Azure).
• Edge & Serverless: Deep understanding of serverless deployment models (Cloudflare Workers/D1, AWS Lambda, or equivalent).
• System Design & Databases: Advanced knowledge of system design, load balancing, caching strategies, asynchronous message queues, relational database optimization, and high-availability architecture.
• Engineering Standards: Strong experience with production CI/CD, observability tools, automated testing, and production troubleshooting.

Bonus Points

• Hands-on experience with the extended Cloudflare suite (KV, R2, Queues, Workers).
• Prior experience in SaaS product engineering, Shopify app ecosystems, or high-traffic global e-commerce platforms.
• 
  

Why Join Us?

• High Scale & Impact: Build software used by thousands of global brands and millions of end consumers.
• Modern Tech Stack: Work with cutting-edge serverless architectures and infrastructure automation platforms.
• Growth & Culture: Great engineering culture, high ownership, competitive growth, and direct technical leadership opportunities in our Kochi office.

Job Role: Software Engineer – Node.js & Serverless Systems

Company: Appmaker by StarApps

Location: Kochi, Kerala (On-Site)

Experience: 1–3 Years

Employment Type: Full-time

About Appmaker by StarApps

At StarApps, we build high-scale tools like Appmaker(https://appmaker.xyz/)  that empower thousands of global e-commerce merchants to turn their web stores into native mobile apps. We focus on low latency, cutting-edge serverless architectures, and building scalable software that handles millions of requests every day.

About the Role

We are looking for a hands-on backend/full-stack Software Engineer (Node.js / TypeScript) to join our engineering team on-site at our Kochi office. You will work directly on building high-performance APIs, web applications, and automated backend workflows using modern JavaScript/TypeScript and cloud technologies.

If you enjoy working with serverless tech, love writing clean code, and want to ship features that impact real businesses globally, this role is for you!

Key Responsibilities

• Core Application Development: Design, build, and maintain high-speed web applications, RESTful APIs, and backend microservices using Node.js and TypeScript.
• Serverless Development: Develop modern, low-latency applications leveraging Cloudflare Workers, Cloudflare D1, and edge serverless architectures.
• Database & Integrations: Write clean SQL queries, design optimized database schemas, handle authentication schemes, and integrate third-party APIs.
• Code Quality & Reliability: Write clean, testable, and maintainable code; debug performance issues; and maintain solid git-based workflows.
• Feature Ownership: Take end-to-end ownership of features—from understanding business requirements to coding, testing, deployment, and post-release monitoring.

What We’re Looking For

• Experience: 1–3 years of hands-on software development experience with JavaScript and TypeScript.
• Tech Stack: Strong proficiency in Node.js, JavaScript, TypeScript, and modern JS frameworks.
• Serverless Stack: Hands-on experience with Cloudflare Workers, Cloudflare D1, or equivalent serverless application development platforms.
• Database & APIs: Solid understanding of REST APIs, SQL databases, authentication schemes, and third-party integrations.
• Engineering Standards: Familiarity with Git, automated testing (unit/integration), CI/CD pipelines, and basic troubleshooting.

Bonus Points

• Knowledge/experience with additional Cloudflare ecosystem products (KV, R2, Queues).
• Hands-on experience with Docker and containerisation workflows.
• Prior experience building Shopify apps, SaaS products, or e-commerce integrations.

Why Join Us?

• High Scale & Impact: Build software used by thousands of global brands and millions of end consumers.
• Modern Tech Stack: Build on cutting-edge serverless architectures (Cloudflare Workers, D1, TypeScript).
• Growth & Culture: Great engineering culture, high ownership, and direct mentorship in our Kochi office.

Job Title: TechOps Engineer

Location: Bengaluru, India (Hybrid)

Employment Type: Full-time

Experience: 6 Month-2 years (Excluding Internship)

Shift Timing: 2 PM to 11 PM IST

Role Overview

We are excited to find a highly engaged engineer who is obsessed with technology that wants to be a part of a “world class” platform SRE team. Engineers must possess an "automation first" mindset, with a relentless focus on documentation, quality, scalability, and reliability using Infrastructure as Code tools. This position will be part of a platform team that is developing exciting products and solutions and playing a key part in driving forward the electrification of transportation.

What you’ll do:  

• Ensure system reliability, uptime, and performance of global platform.
• Conduct real-time surveillance of our EV charging systems to proactively identify and mitigate performance issues and anomalies near 24/7 basis. As such, you collaborate with IDT and FMC players to ensure incident detection also happens outside office hours (monitoring shifts among team members subject to duty schedule) 
• Deliver on change & releases like firmware changes and drive insights & intelligence back into testing processes and tech discussions with the wider organization. 
•  Successfully deliver and project manage first time right commissioning activities alongside our Engineering Procurement Contract Management (EPCM) partners to successfully bring charge points onto our Charge Point Management System (CPMS).
• End-to-end EV charger lifecycle management, including deployment, commissioning, monitoring, maintenance, and decommissioning activities.
• Provide technical guidance and support to DC specialists during the commissioning of EV charging solutions.
•  Work closely with Shell, Engineering, and IT colleagues to ensure projects are completed on time and to specification.
• Act as a liaison with the Engineering Procurement Contract Management (EPCM) partner to manage projects from start to finish, ensuring charge points are successfully onboarded on the Charge Point Management System (CPMS).
• Collaborate with development, operations and support  teams to build scalable and resilient systems.
• Contribute to incident response, root-cause analysis, and post-mortem reviews, driving continuous improvement.
• Participate in capacity planning, performance tuning, and resource optimization.
• Integrate security and compliance best practices into all infrastructure operations.
• Stay current with emerging SRE tools, frameworks, and cloud technologies to continuously improve reliability practices.
• Participate in and lead on-call rotations and incident response, conducting detailed postmortems and RCA reports.
• Flexible to resolve blocking issues during off hours or weekends if required.  

What We’re Looking For: 

Basic Qualifications and skills

• Bachelor’s degree in Engineering , Electrical, ECE, Computer Science, Information Technology, or related field.
• Overall 1 years of experience as a Site Reliability Engineer, Technical project coordinator role.
• Proven experience of SRE or Technical Project Coordination with IoT or connected devices based platforms.
• Experience with incident management and on-call best practices. Provide support to on call engineers.
• Excellent analytical and problem-solving skills with a proactive mindset. 
• Hands-on experience with AWS Cloud and IaC tools such as Terraform or Ansible.
• Expertise with monitoring and observability tools (Dynatrace,Prometheus, Grafana, Zabbix, etc.).
• Proactively monitor the network, triage performance outliers, and coordinate correction actions to ensure optimal system functionality.
• Fluency in English (spoken and written). 
• Successfully recommission or decommission chargers following changes in our network.
• Responsible for the go-live of the chargers on Shell’s public network following commissioning attempts.

 Note: This role involves managing infrastructure for a global platform operating in over ten countries, requiring effective communication and collaboration across regions. Strong verbal and written communication skills, along with availability and flexibility to resolve blocking issues, are essential to support On-call Engineers. This role may involve EU or US time‑zone shifts based on business requirements. The shift timing will be 2 PM IST to 11 PM IST.  

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 Description: 

Lead regional transformation programs, driving the entire solution architecture lifecycle, 

from conceptualization to execution, with a focus on agile and DevOps practices. 

Accountable for leading the IT Architecture for all projects and programs, focusing on 

innovative business and IT solutions in the insurance domain, such as new-age digital 

platforms, cloud-native applications, AI/ML-powered decision-making, and data-driven 

insights.

Preferred skills  

• Demonstrated expertise in developing cloud-native, microservices-based, and API

driven insurance solutions, leveraging modern architectural patterns and emerging 

technologies such as AI/ML, big data, and IoT. 

• Thorough understanding of common patterns, frameworks, and reference 

architectures for the Insurance domain, with a focus on digital transformation and 

innovation. 

• Proven experience in leading regional transformation programs, driving the adoption 

of agile and DevOps practices. 

• Asia regional experience is an advantage.

Qualifications 

Minimum Bachelor's degree, preferably with a Master's degree in Computer Science, 

Engineering, or a related discipline. 

• 15+ years of IT experience, with a minimum of 7+ years in the insurance industry, 

focusing on the application of emerging technologies.

Senior AI Engineer

Code Generation, Agent Architecture & LLM Systems

📍 Mumbai (On-site) | Full-time | 5+ years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Senior AI Engineer for a dedicated client engagement focused on building an AI-powered application builder platform - a product where users describe software in plain English and the system generates, previews, and iteratively refines working code.

The mandatory requirement for this role is hands-on production experience shipping LLM-powered systems with agent architectures, with experience in code generation or developer tooling contexts a strong advantage.

The role is product-focused and deeply hands-on. You will own everything between the user's prompt and correct code landing in the project: the agentic loop, code generation pipeline, context management, evaluation suite, and model cost strategy.

You will work alongside the Senior MLOps Engineer who operationalises the infrastructure around your system, and collaborate closely with backend, frontend, and DevOps engineers.

Responsibilities:

Agent Architecture

Design and own the agentic loop for the platform - request interpretation, planning, tool-calling sequence (read file, edit file, run build, search code, install package), and stop conditions.

Make and revisit architectural decisions on single-agent vs. multi-agent designs, including planner/executor splits and dedicated build-repair sub-agents.

Code Generation Pipeline

Own the end-to-end generation flow: task classification, context gathering, planning, targeted edits, verification, and commit.

Implement diff/search-replace-based file editing with fuzzy matching and fallback strategies.

Enforce scope discipline so the agent makes minimal diffs and does not modify code it was not asked to touch.

Self-Repair Loop

Build and tune the automated repair loop that pipes compiler, lint, build, and runtime errors back to the model with retry budgets and model escalation.

This loop is the primary quality lever - the difference between 60-70% and 90%+ build success rates.

Context Management

Build file-relevance retrieval so the agent sees the right files, not the whole codebase: dependency graphs, AST/tree-sitter-based chunking, embeddings, recency signals, and hybrid retrieval.

Implement conversation summarisation and memory for long sessions, and address long-project degradation through codebase summaries and periodic consistency passes.

Own token budgeting and prompt caching strategy.

Prompt Engineering as a Discipline

Own the system prompt and per-task prompt variants (new feature, bug fix, styling change).

Maintain few-shot examples and enforce coding conventions, stack rules, and prohibited behaviours such as no hardcoded secrets and no whole-file rewrites.

Version prompts like code with changelogs and rollback capability.

Evaluation and Quality Measurement

Design and own the evaluation suite: representative test prompts run on every prompt and model change, scored on build success rate, instruction adherence, and output quality including LLM-as-judge and visual/screenshot checks where relevant.

Define regression gates that block quality-degrading changes from shipping.

Treat evals the way engineers treat automated testing: versioned, automated, and tracked over time.

This responsibility is non-negotiable at this level.

Model Strategy and Cost

Design model routing - cheap and fast models for classification and small edits, frontier models for complex generation.

Drive cost optimisation through prompt caching, diff-based edits over full-file rewrites, and tighter context selection.

Track cost per agent run and tokens per task; evaluate new model releases against the eval suite and lead migrations when results justify it.

Safety and Reliability of Agent Behaviour

Defend against prompt injection from user content and fetched web content.

Ensure secrets never appear in generated client code.

Define what the agent's tools may and may not do in collaboration with the platform team.

Contribute to output moderation and abuse-pattern awareness.

Mentorship and Engineering Standards

Run code reviews, define engineering conventions for AI work, and raise the engineering bar across the AI team.

Work closely with the Senior MLOps Engineer on handoff of eval design, prompt configurations, and model routing logic.

Requirements:

Hands-on Production Ownership of LLM-Powered Systems with Agent Architectures (Mandatory)

Must have personally shipped and operated at least one complex production AI system - agentic, multi-step, or code generation - with end-to-end ownership of architecture, evaluation, and cost.

POCs, internal demos, and tutorial-grade work do not qualify.

5+ Years of Professional Software or AI Engineering Experience

With at least 3 years focused on LLM applications, AI engineering, or production AI systems.

Candidates with strong backend backgrounds and a clear, substantive pivot into LLM systems qualify.

Strong Python Proficiency and Service Development

Production-grade Python with FastAPI or equivalent: type hints, async patterns, streaming responses, testing, and packaging.

Not notebook-only.

Depth Across LLM APIs and Agent Systems

Production experience with at least two of OpenAI, Anthropic Claude, Google Gemini, or open-weight models (vLLM, Ollama, Together).

Production experience with at least one agent framework (LangGraph, CrewAI, AutoGen, LlamaIndex Agents) or hand-rolled equivalent.

Hands-on with tool calling, structured outputs, and multi-step reasoning.

Demonstrated, Systematic Evaluation Practice - Non-Negotiable

Must have built evaluation harnesses that gate production releases, not ad-hoc testing.

Hands-on with at least one of LangSmith, Langfuse, Promptfoo, Ragas, or DeepEval.

Candidates with no systematic answer to evaluation should not be considered at senior level regardless of other strengths.

Cost Discipline for Production AI

Track record of measurable cost optimisation on production AI features.

Able to speak in specifics: cost per request, savings achieved through caching or model routing, context reduction decisions.

AWS Working Knowledge

Hands-on with EC2, S3, IAM, and Docker.

Comfort with CI/CD workflows and deploying AI services.

Awareness of LLM Security Failure Modes

Familiar with prompt injection patterns, understands that system prompt rules alone are insufficient, and has experience with output validation and content safety in production.

Nice to Have

• Experience with AST/tree-sitter tooling, diff-based editing systems, or compiler-adjacent work
• MCP server authoring
• Open-source AI contributions
• Published technical writing on LLM systems
• Multi-modal model experience
• Fine-tuning exposure (LoRA, QLoRA, PEFT)

Skill: Java Architect

Location: Pune Baner Office

Note: Client F2F is mandate

Budget:33 LPA

Experience: 10+ Years

Mandate Skills- Cloud+ Java Architect

Who are we looking for?

We are looking for a Technical Architect, having strong software design and development experience of 9+ years on Core Java, Spring Boot, REST API, AWS & Microservices.

Technical Skills: 

Proficient in software Design and development and familiar with technologies - Java, Java-J2EE, Spring Boot, Hibernate, Ajax, REST API, Microservices etc.

Working knowledge of JVM internals

Working knowledge in Mongo DB

Working knowledge of any database (MySQL or HSQLDB)

Working knowledge of No-SQL database (Mongo or Dynamo DB)

Working experience with messaging (JMS/RabbitMQ) 

R & D on new advanced cloud-based technologies in a test-driven agile development.

Experience in designing and architecting systems with high scalability and performance requirements

Ability to design infrastructure for performance evaluation and reporting of cloud-based services, namely AWS

In depth knowledge of key AWS services like EC2, S3, Lambda, CloudWatch etc.

Certification on AWS architecture desirable

Roles and Responsibilities: 

Participate and contribute in platform requirements/story development.

Contribute to the solutioning, design and design alternatives to the requirements/stories and also participate in design reviews.

Involve in Platform Sprint activities.

Development of assigned stories in appropriate languages defined for each module.

Participate in peer code reviews 

Develop use cases and do unit test cases and execute them part of continuous integration pipeline.

Understand stack deployment and resolve issues with components in stacks across the ecommerce platform.

Process Skills: 

Agile – Scrum and Test-Driven Development

Qualification:

Bachelor of Engineering (Computer background preferred)

🚀 Job Opportunity: Sr. .NET Lead (8+ Years Experience)

Location: Chennai, India

Experience: 8+ Years

We’re seeking a Senior .NET Developer with strong expertise in .NET 8/9, C# 12+, and distributed systems. This role involves end-to-end ownership — from database schema to API contract to event flow to deployment — while leveraging AI-assisted development tools for rapid, high-quality delivery.

🔑 Key Responsibilities

• Architect and develop distributed, event-driven systems
• Build and deploy microservices in cloud-native environments
• Collaborate on modern frontends (React) and backend APIs
• Ensure security, compliance, and multi-tenant isolation
• Critically evaluate and use AI-assisted coding, debugging, and documentation

🛠️ Required Skills

• Core .NET Expertise: C# 12+, .NET 8/9, ASP.Net Core, Entity Framework Core, SOLID principles, Saga & Decorator patterns
• Distributed Systems: MassTransit, message brokers, event-driven architecture
• Cloud & Infrastructure: AWS, Docker, Kubernetes
• Databases: SQL Server, MongoDB, Redis
• Security: Authentication, Identity Providers, compliance frameworks
• AI-Assisted Development: Daily use of AI tools with critical review

🌟 Nice to Have

• Financial Services Knowledge: Payments, FX, ACH/SWIFT, KYC/AML

Job Title : DevOps Engineer – Linux, AWS & Infrastructure

Experience : 3+ Years

Location : Sector 48, Gurgaon

Work Mode : 6 Days WFO – Monday to Saturday

Week Off : 01st & 03rd Saturday Off

Employment Type : Full-Time

Job Summary :

We are looking for a DevOps Engineer with strong hands-on experience in Linux, Networking, Server Administration, AWS, CI/CD, Containers, Kubernetes, and Infrastructure Automation. The ideal candidate should have strong troubleshooting skills, production ownership, and the ability to manage and automate infrastructure reliably.

Key Responsibilities :

• Manage and troubleshoot Linux servers, bare-metal infrastructure, and server environments.
• Perform system administration, networking, performance monitoring, and production troubleshooting.
• Design, maintain, and optimize Jenkins-based CI/CD pipelines and deployment workflows.
• Manage Docker containers and Kubernetes environments.
• Work with AWS Cloud services, infrastructure, security, and deployment environments.
• Monitor system health, application performance, logs, and infrastructure using appropriate monitoring and logging tools.
• Implement and maintain Infrastructure as Code (IaC) using tools such as Terraform or CloudFormation.
• Automate repetitive operational tasks using Python, Bash, Shell scripting, or similar technologies.
• Implement infrastructure and application security, access controls, patching, and hardening.
• Investigate production incidents, perform root-cause analysis (RCA), and drive issues to resolution.
• Take end-to-end ownership of infrastructure reliability, availability, and operational issues.
• Collaborate with development and other engineering teams to improve deployment, scalability, and system reliability.

Mandatory Skills :

Linux & Networking | Bare Metal / Server Administration | Jenkins / CI-CD | Docker / Containers | AWS Cloud | Kubernetes | Git | Monitoring & Logging | Security | Infrastructure as Code (IaC) | Automation / Scripting | Production Troubleshooting & Ownership

Preferred Skills :

• Strong understanding of TCP/IP, DNS, HTTP/HTTPS, SSH, load balancing, and networking fundamentals.
• Hands-on experience with Terraform / CloudFormation.
• Experience with Prometheus, Grafana, ELK / EFK, CloudWatch, or similar monitoring / logging tools.
• Good understanding of Linux performance troubleshooting, processes, memory, disk, networking, and file systems.
• Experience handling production incidents, RCA, deployments, and system reliability.
• Exposure to cloud security, IAM, secrets management, and server hardening.

What We’re Looking For :

• 3+ years of hands-on experience in DevOps / SRE / Infrastructure Engineering.
• Strong practical knowledge rather than certification-based/theoretical understanding.
• Good troubleshooting and analytical skills.
• Strong sense of ownership and accountability for production systems.
• Comfortable working in a 6-day work-from-office environment.

About the Role

We are looking for a high-energy, research-driven, and execution-focused Sales Development Representative (SDR) to build qualified sales pipeline through outbound prospecting and lead qualification.

This role is responsible for identifying target accounts, engaging decision-makers through personalized outreach, qualifying opportunities, and scheduling meetings for the Account Executive team. You will play a critical role in building the top of Comprinno's sales funnel and creating predictable pipeline growth.

The ideal candidate is persistent, curious, highly organized, and comfortable engaging technology leaders through multiple communication channels. You should enjoy researching companies, uncovering business opportunities, and creating meaningful conversations that translate into qualified sales opportunities.

Key Responsibilities:

Prospecting & Account Research

• Identify target accounts aligned with Comprinno's Ideal Customer Profile (ICP).
• Research companies, industries, and technology landscapes to identify potential cloud transformation opportunities.
• Map key decision-makers including Founders, CTOs, CIOs, VP Engineering, Engineering Managers, and IT leaders.
• Build and maintain high-quality prospect lists using CRM, LinkedIn, Apollo, Clay, and other prospecting tools.

Outbound Prospecting

• Execute structured outbound campaigns through:
• Email
• Cold Calling
• LinkedIn
• WhatsApp
• Personalized multi-channel outreach
• Personalize outreach based on customer industry, business priorities, and technology landscape.
• Execute disciplined follow-up cadences to maximize response and engagement rates.
• Continuously improve messaging based on campaign performance and customer feedback.

Lead Qualification

• Conduct initial discovery conversations to understand customer challenges, priorities, and technology initiatives.
• Qualify prospects based on predefined qualification frameworks and buying intent.
• Identify opportunities related to:
• Cloud Migration
• Cloud Modernization
• Managed Services
• Security
• Data & AI
• Generative AI
• Schedule qualified meetings for the Account Executive team with comprehensive handover notes.

Pipeline Contribution

• Consistently achieve weekly and monthly outreach, meeting, and SQL targets.
• Maintain high-quality pipeline creation across startup, ISV, mid-market, and enterprise segments.
• Monitor personal conversion metrics and continuously improve performance.
• Support Account Executives in achieving pipeline and revenue objectives.

CRM & Sales Operations

• Maintain accurate CRM records for all prospect interactions.
• Update lead status, qualification notes, follow-up actions, and meeting outcomes.
• Ensure excellent CRM hygiene and adherence to sales processes.
• Track personal KPIs and activity metrics.

Collaboration & Continuous Learning

• Work closely with Marketing to support outbound campaigns and account-based initiatives.
• Collaborate with Account Executives, Presales Engineers, and Sales Leadership to improve lead quality.
• Share customer insights, objections, and competitive intelligence.
• Participate in coaching sessions, role plays, sales enablement, and product training.

Required Qualifications & Skills

• Bachelor's degree in Business, Engineering, Technology, Marketing, or related disciplines.
• 1–3 years of experience as an SDR or BDR
• Experience working in IT Services, Cloud Consulting, SaaS, or Technology Services organizations.
• Proven experience booking qualified meetings for the India market.
• Excellent written and verbal communication skills in English.
• Confidence in cold calling and outbound prospecting.
• Strong research and account-mapping abilities.
• Effective objection-handling and relationship-building skills.
• Strong attention to detail, CRM discipline, and process orientation.
• High energy, resilience, and execution focus.

Desired Qualifications & Skills

• Experience using SDR platforms such as Apollo, Clay, Outreach, Salesloft, HubSpot, LinkedIn Sales Navigator, or similar tools.
• Familiarity with AI-assisted prospecting, research, and outreach tools.
• Understanding of Cloud Computing, DevOps, AI, Cybersecurity, or Managed Services.
• Knowledge of B2B sales qualification methodologies.
• AWS Cloud Practitioner certification (or willingness to pursue certification).

What We're Looking For

• Strong curiosity and research mindset.
• High persistence and resilience.
• Excellent communication and listening skills.
• Strong organizational and time-management abilities.
• High ownership and accountability.
• Coachable with a continuous learning mindset.
• Ability to thrive in a fast-paced, target-driven environment.

What Success Looks Like

• Consistent achievement of weekly and monthly outreach, meeting, and SQL targets.
• High-quality lead qualification with strong acceptance rates from Account Executives.
• Excellent CRM hygiene and process compliance.
• Continuous improvement in response rates, meeting conversion, and qualification quality.
• Strong collaboration with Marketing, Presales, and Sales teams.
• Meaningful contribution to predictable pipeline generation and revenue growth.

Why Join Comprinno

• Work at the forefront of cloud innovation with one of the leading AWS consulting partners in the APJ region.
• Gain exposure to Cloud, DevOps, Managed Services, Data Analytics, and AI solution selling.
• Learn directly from experienced Sales Leaders, Presales Engineers, and Solution Architects.
• Accelerate your growth through structured coaching, AWS certifications, and continuous learning.
• Build expertise in enterprise technology sales and consultative selling.
• Join a collaborative, high-performance culture that values ownership, innovation, and customer success.