50+ AWS (Amazon Web Services) Jobs in India

Engineering Manager

Total Experience - 10+ Years Experience

Work Mode - Remote 

What You’ll Do

Core Responsibilities

• Lead end-to-end project delivery from planning to execution.
• Communicate effectively with clients, stakeholders, and internal teams.
• Prior experience in Infrastructure Engineering or Application Development environments.
• Drive technical discussions around system architecture, scalability, and delivery.
• Balance client expectations, project priorities, and team bandwidth effectively.
• Mentor and guide team members while ensuring healthy work-life balance.
• Continuously learn and stay updated with evolving technologies and industry practices.

Management Responsibilities

• Act as the primary point of contact for clients and delivery teams.
• Track milestones, risks, dependencies, and project schedules proactively.
• Create and maintain regular project status reports and delivery metrics.
• Establish efficient technical and operational processes for teams.
• Provide accurate effort estimations and prioritize tasks across modules and teams.
• Build strong feedback loops with internal and external stakeholders.

Organization Building

• Drive key initiatives with organization-wide impact across teams and functions.
• Improve reporting, operational efficiency, and delivery management practices.

What We’re Looking For

• 10+ years of experience in software delivery and engineering management.
• Experience managing and mentoring teams of 10+ members.
• Strong understanding of SDLC, system design, and software architecture.
• Hands-on experience delivering projects in both Fixed Scope and T&M models.
• Background in engineering delivery, ideally having grown from a developer role.
• Strong analytical and reporting skills with experience in delivery metrics.
• Excellent client-facing communication and stakeholder management abilities.
• Experience handling high-pressure situations, risks, and disaster management scenarios.
• Ability to understand business priorities and align team execution accordingly.

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

Responsibilities:

● Design, develop, and deploy backend systems, including APIs, databases, and server-side logic

● Write clean, efficient, and well-documented code that adheres to industry standards and best practices

● Participate in code reviews and contribute to the improvement of the codebase

● Debug and resolve issues in the existing codebase

● Develop and execute unit tests to ensure high code quality

● Work with DevOps engineers to ensure seamless deployment of software changes

● Monitor application performance, identify bottlenecks, and optimize systems for better scalability and efficiency

● Stay up-to-date with industry trends and emerging technologies; advocate for best practices and new ideas within the team

● Collaborate with cross-functional teams to identify and prioritize project requirements

Requirements:

● At least 5+ years of experience building scalable and reliable backend systems

● Strong expertise in NodeJS/NestJS, Express, PostgreSQL

● Experience with microservices architecture and distributed systems

● Proficiency in database design (SQL and NoSQL)

● Knowledge of cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines

● Deep understanding of design patterns, data structures, and algorithms

● Hands-on experience with containerization technologies like Docker and orchestration tools like Kubernetes

● Exceptional communication and leadership skills

● Strong understanding of object-oriented programming principles and design patterns

● Familiarity with automated testing frameworks and methodologies

● Excellent problem-solving skills and attention to detail

● Strong communication skills and ability to effectively lead and maintain a collaborative team environment

Key Responsibilities:

• Design, develop, deploy, and maintain scalable front-end and back-end applications using React and Node.js.
• Build and integrate RESTful APIs and GraphQL services across the platform.
• Design clean, scalable, and maintainable software architectures.
• Develop and optimize cloud-native applications hosted on AWS services such as Lambda and S3.
• Collaborate closely with product managers, designers, and engineering teams to deliver high-quality software solutions.
• Write clean, reusable, testable, and maintainable code following engineering best practices.
• Debug, troubleshoot, and resolve issues across the full application stack.
• Participate in agile development processes and contribute to continuous improvement initiatives.

Required Skills:

• Strong proficiency in JavaScript/TypeScript.
• Hands-on experience with modern frameworks such as React and Node.js.
• Solid understanding of front-end development concepts including:
• State management
• Component lifecycle
• Performance optimization
• Experience building and consuming REST APIs and/or GraphQL APIs.
• Familiarity with relational databases such as PostgreSQL or similar.
• Strong analytical, problem-solving, and debugging skills.
• Ability to work effectively in a fast-paced agile environment.

Preferred Skills:

• Hands-on experience with GraphQL frameworks/tools such as Apollo.
• Experience with AWS services including:

1. EC2
2. S3
3. Lambda
4. API Gateway
5. DynamoDB

• Knowledge of CI/CD pipelines and tools such as Jenkins, GitHub Actions, or similar.
• Understanding of software testing methodologies and tools such as Jest and Cypress. 

Job Role: Java Full Stack Developer

Experience: 5-10 Years

Location: Mumbai (Onsite)

Job Overview:

We are looking for a skilled Java Full Stack Developer with 5-10 years of experience to join our team in Mumbai. The ideal candidate will have strong hands-on experience in backend development using Java, Spring Boot, and Microservices architecture, along with frontend development using React. You will be responsible for designing, developing, and maintaining scalable applications.

Key Responsibilities:

·      Design, develop, and maintain scalable full stack applications

·      Build robust backend services using Java, Spring Boot, and Microservices architecture

·      Develop responsive and user-friendly front-end applications using React

·      Collaborate with cross-functional teams including product, QA, and DevOps

·      Integrate APIs and work with databases to ensure seamless data flow

·      Participate in code reviews, debugging, and performance optimization

·      Ensure code quality, security, and best development practices

·      Contribute to architecture discussions and technical decision-making

Required Skills:

·      5–10 years of hands-on experience in software development

·      Strong proficiency in Java, Spring Boot, and Microservices

·      Solid experience with React.js for frontend development

·      Experience working with any relational or NoSQL databases

·      Good understanding of RESTful APIs and system design principles

·      Strong problem-solving and analytical skills

Preferred Skills (Good to Have):

·      Experience working on e-commerce platforms or products

·      Exposure to cloud platforms (AWS, Azure, or GCP)

·      Familiarity with CI/CD pipelines and DevOps practices

·      Knowledge of containerization tools like Docker/Kubernetes

Education:

·      Bachelor’s/Master’s degree in Computer Science or a related field

About the Company:

Pace Wisdom Solutions is a deep-tech Product engineering and consulting firm. We have offices in San Francisco, Bengaluru, and Singapore.

We specialize in designing and developing bespoke software solutions that cater to solving niche business problems.

We engage with our clients at various stages:

·      Right from the idea stage to scope out business requirements.

·      Design C architect the right solution and define tangible milestones.

·      Setup dedicated and on-demand tech teams for agile delivery.

·      Take accountability for successful deployments to ensure efficient go-to-market Implementations.

Pace Wisdom has been working with Fortune 500 Enterprises and growth-stage startups/SMEs since 2012. We also work as an extended Tech team and at times we have played the role of a Virtual CTO too. We believe in building lasting relationships and providing value-add every time and going beyond business.

This role is part of our Graphic Communications business unit, which serves the global print and packaging industry with ERP and production software designed for commercial printers, packaging manufacturers, promotional and transactional print providers, sign and display manufacturers, and in-plant print operations. Our solutions help customers manage complex production environments, improve operational visibility, and deliver high-quality products efficiently and profitably.

About the Role

Own the AWS production infrastructure, CI/CD pipelines (GitHub Actions), and end-to-end test suite for MIS_X. Our architecture runs on AWS App Runner (containerised Next.js), RDS PostgreSQL in a private subnet, CloudFront CDN, and Secrets Manager. You’ll Dockerise the app, build, test and monitor the AWS deployment pipeline, write comprehensive E2E tests, and keep production reliable. Claude Code is your force multiplier — it writes IaC and test code well, but you’re the one who audits it for security and correctness.

Key Responsibilities

• Dockerise the Next.js + Prisma application for AWS App Runner deployment
• Provision and manage the AWS environment: App Runner, RDS PostgreSQL (private subnet), CloudFront, Secrets Manager, VPC
• Build the CI/CD pipeline (GitHub Actions): lint → type-check → test → build → deploy
• Write/Review and maintain E2E tests (Playwright) for critical paths: quote → job → schedule → invoice
• Set up staging and production environments with proper environment isolation
• Implement monitoring, alerting, and error tracking (CloudWatch, Sentry)
• Manage database backups, disaster recovery, and migration rollback procedures
• Audit all Claude Code–generated infrastructure code for security gaps and misconfigurations
• Own the OAuth2 integrations in deployment (token refresh, webhook handling, Secrets Manager)

Must-Have Skills

• 4+ years of experience
• AWS App Runner or ECS — containerised application deployment and auto-scaling
• AWS RDS PostgreSQL — provisioning, backups, private subnet networking, security groups
• Docker — multi-stage builds, optimised images for Next.js + Prisma
• CI/CD pipelines — GitHub Actions or equivalent, automated testing + deployment
• VPC networking — private subnets, NAT gateways, security groups, least-privilege IAM
• CloudFront CDN — distribution setup, SSL termination, cache invalidation
• Testing strategy — ability to decide what to test and how; E2E, integration, and smoke tests
• Security auditing — reviewing infrastructure-as-code for misconfigurations, exposed secrets, over-permissive IAM

Nice-to-Have

• Playwright E2E testing experience
• Infrastructure as Code (CDK or Terraform)
• OAuth2 integration flows (Xero, Stripe, etc.)
• Cost optimisation for small-scale AWS (~$50–130/month budget)
• GDPR / UK data protection compliance for SaaS
• Performance testing (SSE, real-time updates, Gantt chart rendering)

A Day in the Life (with Claude Code)

This is what a typical day looks like when working with AI-assisted development:

1. Tell Claude Code to write the Docker file, review it for layer caching and security
2. Instruct Claude to generate Playwright tests for the quote creation flow, run and validate
3. Investigate a CloudWatch alarm — diagnose, then tell Claude to fix the root cause
4. Review the GitHub Actions pipeline a teammate generated with Claude — check for secret leaks
5. Run a cost audit: is App Runner scaling correctly? Is the RDS instance right-sized?

Why Join Us

You’ll have the opportunity to drive some of the most critical transformation initiatives in our company’s history. This is a highly visible role working directly with senior leadership to shape the future operating model of. You’ll bring clarity, discipline, and execution focus to complex cross-functional programs while gaining exposure across every function of the business.

Remuneration & Benefits

• Receive a competitive salary
• Be enrolled on our Employee Benefits Scheme
• Generous holidays and other employee benefits
• Get the opportunity to be part of a rapidly growing business, providing an unrivalled opportunity to develop your skillset
• Be part of a collaborative, values-led team that is working hard to grow our business, our partner’s businesses and enable our customers to survive and thrive!
• Enjoy a great progression plan with opportunities for a long-standing career within our business
• Fantastic opportunity to hire & develop your own team in the future as the business grows and requires additional resource.

Equal Employment Opportunity

Aan Equal Opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, sex (including pregnancy, sexual orientation, and gender identity or expression), religion, disability, genetic information, marital status, veteran status, or any other basis protected by local, state or federal law

About Us:

We are hiring for a pre seed funded startup called Zeromoblt (https://zeromoblt.com/), a high-agency Hyderabad-based startup revolutionizing student transportation with lean, intelligent tech stacks.

Our mission: architect world-class systems from scratch—fast, scalable, and algorithmically sharp—using Kotlin, React, AWS (EC2, IoT, IAM), Google Maps, and multi-cloud setups. Stealth mode operations mean you're building 0→1 products with founders, not fixing tickets.

What You'll Do

• Lead end-to-end ownership of complex systems: design, build, deploy, monitor, and iterate at scale.
• Architect high-performance backends in Kotlin (or JVM langs) that handle real-time routing and IoT data.
• Craft scalable React UIs that power ops dashboards and parent-facing apps.
• Drive cloud decisions across AWS, Azure/GCP—optimising costs for our bootstrap runway.
• Apply DSA/system design to solve hard problems like dynamic route optimization and predictive scaling.
• Shape the engineering roadmap: propose, prioritise, and ship features with founders.
• Mentor juniors while executing solo on high-impact bets—no layers, just results.

We're Looking For

• 3-6 years of hands-on engineering where you've owned and shipped production systems (prove it with code/stories).
• Elite CS fundamentals: advanced DSA, system design (distributed systems a must), design patterns.
• Mastery of Kotlin/Java + modern React; real AWS experience (EC2, IAM, CLI—you know our stack).
• Proven "leap-taker": startup grit, side projects, or open-source that screams hunger.
• Figure-it-out velocity: you thrive in chaos, learn our domain overnight, and deliver 10x faster than peers.

This Role Is Not For You If…

• You need structured roadmaps, PM hand-holding, or big-tech process.
• Comfort > impact: stable salary over equity upside and chaos.
• You've never worn all hats (dev, ops, product) in a resource-constrained environment.

Why Join Us

• Massive ownership: lead tech for 10k+ students, direct founder access, shape ZeroMoblt's scale.
• Flat, high-trust team: flexible Hyderabad/remote, no bureaucracy.
• Hungry culture: we hire hustlers scaling from 700 to 10k students your wins are visible daily.
• Hungry to Leap? Apply now!

Mandatory Skills: ETL, Data Warehousing, Python, GCP Services

Required Skills:

● Bachelor’s degree in Computer Science or similar field or equivalent work experience.

● 4+ years of experience on Data Warehousing, Data Engineering or Data Integration projects.

● Expert with data warehousing concepts, strategies, and tools.

● Strong SQL background.

● Strong knowledge of relational databases like SQL Server, PostgreSQL, MySQL.

● Strong experience in GCP & Google BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Function and GCS

● Good to have knowledge on SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS).

● Knowledge of AWS and Azure Cloud is a plus.

● Experience in Informatica Power exchange for Mainframe, Salesforce, and other new-age data sources.

● Experience in integration using APIs, XML, JSONs etc.

● In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework, data-warehousing and Data Lakes

● Good understanding of SDLC, Agile and Scrum processes.

● Strong problem-solving, multi-tasking, and organizational skills.

● Highly proficient in working with large volumes of business data and strong understanding of database design and implementation.

● Good written and verbal communication skills.

● Demonstrated experience of leading a team spread across multiple locations.

Role & Responsibilities:

● Work with business users and other stakeholders to understand business processes.

● Ability to design and implement Dimensional and Fact tables

● Identify and implement data transformation/cleansing requirements

● Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data from various systems to the Enterprise Data Warehouse

● Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical data definitions

● Design, develop and maintain ETL workflows and mappings using the appropriate data load technique

● Provide research, high-level design, and estimates for data transformation and data integration from source applications to end-user BI solutions.

● Provide production support of ETL processes to ensure timely completion and availability of data in the data warehouse for reporting use.

● Analyze and resolve problems and provide technical assistance as necessary. Partner with the BI team to evaluate, design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and data quality.

● Work collaboratively with key stakeholders to translate business information needs into well-defined data requirements to implement the BI solutions.

● Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract and transform into reporting & analytics.

● Define and document the use of BI through user experience/use cases, prototypes, test, and deploy BI solutions.

● Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers, quality issues, and continuously validate reports, dashboards and suggest improvements.

● Train business end-users, IT analysts, and developers.

Byteridge is seeking a Rapid Prototyping Engineer specializing in AI Infrastructure & Optimization to work with our most strategic customers on deploying, fine-tuning, and optimizing large language models at scale. You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in computer science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)

• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

Role: Senior Software Developer (Full Stack) - Python

Location: Coimbatore

YOE: 7+ years

Mandatory Skills: Python, AWS

Good to have: React, SQL, React Native, Knowledge in Flutter/Android Native

Responsibilities:

● Determines operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions.

● Documents and demonstrates solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code.

● Prepares and installs solutions by determining and designing system specifications, standards, and programming.

● Improves operations by conducting systems analysis; recommending changes in policies and procedures.

● Obtains and licenses software by obtaining required information from vendors; recommending purchases; testing and approving products.

● Updates job knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment.

● Participate in educational opportunities & read professional publications.

● Protects operations by keeping information confidential.

● Provides information by collecting, analyzing, and summarizing development and service issues.

● Accomplishes engineering and organization mission by completing related results as needed.

● Develops software solutions by studying information needs; conferring with users; studying systems flow, data usage, and work processes; investigating problem areas; following the software development lifecycle.

Requirements:

● Proven work experience as a Full Stack Engineer or Senior Software Developer.

● Strong experience designing and developing scalable and interactive applications.

● Hands-on expertise in React or similar UI technologies for frontend development and Python or other modern backend languages.

● Experience in mobile app development (e.g., React Native, Flutter, or Native Android/iOS).

● Deep understanding of relational databases.(e.g.,PostgreSQL/MySQL) with strong proficiency in SQL.

● Experience with ORM frameworks (e.g., TypeORM, SQLAlchemy or similar).

● Familiarity with NoSQL databases (e.g., MongoDB) and caching systems like Redis is a plus.

● Test-driven development and automated testing experience is a plus.

● Proficiency with modern software engineering tools, Git-based workflows, and CI/CD pipelines.

● Strong ownership mindset with ability to lead teams, mentor developers, and drive end-to-end delivery.

● Excellent communication and collaboration skills with cross-functional stakeholders.

● Working knowledge of AWS or other cloud platforms is an added advantage.

Job Description – Software Engineer (Java Spring Boot + Angular)

Location: Whitefield, Bangalore (Work from Client Office)

Experience: 4–8 years

Role Overview

We are hiring Software Engineers with strong experience in Java Spring Boot and Angular to work on enterprise-level applications at the client office in Whitefield, Bangalore.

Key Responsibilities

• Develop and maintain backend services using Java, Spring Boot, REST APIs.
• Build interactive front-end modules using Angular.
• Collaborate with the lead, QA, and product team for high-quality delivery.
• Understand requirements, participate in design discussions, and contribute to technical solutions.
• Write clean, maintainable, and scalable code.
• Perform unit testing and integration testing.
• Fix bugs, optimize code, and improve application performance.

Technical Skills Required

• Strong coding skills in Java 8+, Spring Boot, RESTful API development.
• Experience working with Angular.
• Good understanding of Microservices concepts.
• Strong knowledge of SQL/NoSQL databases.
• Experience with version control (Git), CI/CD pipelines, and build tools.
• Familiarity with cloud services is a plus.

Soft Skills

• Good communication and teamwork skills.
• Ability to work independently and handle tasks with minimal supervision.
• Strong debugging and problem-solving skills.

Note: One technical round is mandatory to be taken F2F from office.

Senior Full Stack Developer – Analytics Dashboard

Job Summary

We are seeking an experienced Full Stack Developer to design and build a scalable, data-driven analytics dashboard platform. The role involves developing a modern web application that integrates with multiple external data sources, processes large datasets, and presents actionable insights through interactive dashboards.

The ideal candidate should be comfortable working across the full stack and have strong experience in building analytical or reporting systems.

Key Responsibilities

• Design and develop a full-stack web application using modern technologies.
• Build scalable backend APIs to handle data ingestion, processing, and storage.
• Develop interactive dashboards and data visualisations for business reporting.
• Implement secure user authentication and role-based access.
• Integrate with third-party APIs using OAuth and REST protocols.
• Design efficient database schemas for analytical workloads.
• Implement background jobs and scheduled tasks for data syncing.
• Ensure performance, scalability, and reliability of the system.
• Write clean, maintainable, and well-documented code.
• Collaborate with product and design teams to translate requirements into features.

Required Technical Skills

Frontend

• Strong experience with React.js
• Experience with Next.js
• Knowledge of modern UI frameworks (Tailwind, MUI, Ant Design, etc.)
• Experience building dashboards using chart libraries (Recharts, Chart.js, D3, etc.)

Backend

• Strong experience with Node.js (Express or NestJS)
• REST and/or GraphQL API development
• Background job systems (cron, queues, schedulers)
• Experience with OAuth-based integrations

Database

• Strong experience with PostgreSQL
• Data modelling and performance optimisation
• Writing complex analytical SQL queries

DevOps / Infrastructure

• Cloud platforms (AWS)
• Docker and basic containerisation
• CI/CD pipelines
• Git-based workflows

Experience & Qualifications

• 5+ years of professional full stack development experience.
• Proven experience building production-grade web applications.
• Prior experience with analytics, dashboards, or data platforms is highly preferred.
• Strong problem-solving and system design skills.
• Comfortable working in a fast-paced, product-oriented environment.

Nice to Have (Bonus Skills)

• Experience with data pipelines or ETL systems.
• Knowledge of Redis or caching systems.
• Experience with SaaS products or B2B platforms.
• Basic understanding of data science or machine learning concepts.
• Familiarity with time-series data and reporting systems.
• Familiarity with meta ads/Google ads API

Soft Skills

• Strong communication skills.
• Ability to work independently and take ownership.
• Attention to detail and focus on code quality.
• Comfortable working with ambiguous requirements.

About the Role

At Techjays, we build production-grade AI systems for global clients. We are looking for a Solution Architect who can bridge the gap between client needs and technical delivery — someone who can walk into a client room, understand their business challenges, and walk out with a compelling, technically sound AI solution.

This role sits at the intersection of pre-sales, solutioning, and delivery governance.

What You'll Do

• Own end-to-end solutioning from client discovery to architecture design
• Partner with pre-sales teams on RFPs, proposals, and client presentations
• Define architectures for LLM integrations, RAG pipelines, and agentic workflows
• Conduct architecture reviews and technical assessments for ongoing projects
• Act as a trusted technical advisor to enterprise clients during pre-sales

Key Skills

• Python, REST APIs, Microservices, Distributed Systems
• AWS / Azure / GCP, Docker, Kubernetes, CI/CD
• LLM Integrations, RAG Pipelines, AI Agents, Vector Databases
• Enterprise data architecture and integration patterns
• Strong client communication and presentation skills

Who You Are

• Client-first mindset — listens, understands, and translates business pain into technical clarity
• Strong communicator comfortable with C-level stakeholders
• High ownership — accountable for every solution you sign off on
• Collaborative across sales, delivery, and engineering

What We Offer

• Flexible work environment
• Paid holidays & flexible time off
• Medical insurance (Self & Family up to ₹4 Lakhs)
• Exposure to global clients and high-impact pre-sales engagements
• A culture of clarity, integrity, and continuous growth

About MyOperator

MyOperator is a Business AI Operator platform that enables businesses, teams, and AI agents to work together seamlessly for customer operations such as Sales, Support, Escalations, Feedback, and Refund processes. With 12,000+ businesses using our platform, we operate at meaningful scale and power mission-critical communication workflows including voice bots, WhatsApp automation, and intelligent call routing.

We are building for reliability, speed, and impact. MyOperator values ownership, critical thinking, and execution. This is a high-expectation, high-learning environment where engineers are empowered to solve complex problems and build systems that directly affect customer outcomes.

Role Overview

We are looking for a skilled and proactive Site Reliability Engineer (SRE) to take end-to-end ownership of production reliability, observability, and performance engineering across MyOperator’s AI-powered communication infrastructure.

This role is not operational-only — it requires strong system design thinking, deep troubleshooting ability, and a production ownership mindset. You will define reliability standards, build observability frameworks, lead incident response, and drive SLO-based engineering practices across distributed AWS and Kubernetes environments.

Key Responsibilities

• Own production reliability, uptime, latency, and error budgets across critical services.
• Design and manage production-grade monitoring using Grafana, VictoriaMetrics (Prometheus), and PromQl, AWS CloudWatch.
• Define and enforce SLIs, SLOs, and SLA thresholds for AI communication systems (voice bots, WhatsApp APIs, call routing).
• Build real-time operational dashboards for incident response, capacity planning, and leadership visibility.
• Implement end-to-end distributed tracing using OpenTelemetry (OTEL Collector).
• Design and maintain centralized logging with strong correlation between logs, metrics, and traces.
• Create SLO-based alerting systems with minimal noise and fast incident detection.
• Lead incident response lifecycle: alert triage, mitigation, RCA documentation, and preventive improvements.
• Drive MTTR reduction through structured monitoring, automation, and reliability engineering practices.
• Monitor and troubleshoot AWS EKS (Kubernetes) production workloads.
• Instrument and monitor LLM API integrations, AI inference pipelines, and messaging systems.
• Analyze logs using OpenSearch / ELK for anomaly detection and root cause identification.
• Automate operational workflows using Python or Bash to eliminate manual toil.
• Drive performance optimization, scalability improvements, and capacity planning.
• Collaborate with engineering teams to instrument new services from day one.

Required Skills & Qualifications

• 3–6 years of experience in Site Reliability Engineering, DevOps, or Platform Engineering roles.
• Hands-on experience with:
• VictoriaMetrics / Prometheus (time-series monitoring)
• Grafana dashboards and visualization
• PromQL for writing complex queries and alerts
• Experience implementing distributed tracing using OpenTelemetry (Mandatory).
• Strong experience with centralized logging systems (ELK / OpenSearch / Loki).
• Experience with alerting frameworks such as Alertmanager or Grafana Alerts.
• Strong understanding of SLIs, SLOs, SLA design, and reliability engineering principles.
• Hands-on experience managing AWS production workloads (EC2, RDS, ELB, CloudWatch, IAM).
• Experience with Kubernetes (AWS EKS preferred).
• Familiarity with CI/CD pipelines and automation tools.
• Good understanding of Linux systems, networking, and cloud infrastructure.
• Experience handling production incidents and participating in on-call rotations.
• Ability to automate operational tasks using Python or Bash.

Good to Have

• Experience with OpenSearch / ELK log pipelines and anomaly detection.
• Kubernetes monitoring (pod health, node metrics, autoscaling behavior).
• CI/CD observability integration (Jenkins, GitHub Actions).
• Experience in monitoring LLM APIs and AI inference pipelines.
• Familiarity with MLOps or AI observability tools (Arize, WhyLabs, etc.).
• Service mesh exposure (Istio).
• Infrastructure as Code (Terraform, CloudFormation).
• Experience with chaos engineering or load testing tools.
• Multi-cluster or multi-region architecture exposure.

Key Expectations

• Ownership of production systems and high availability.
• Strong troubleshooting and debugging skills.
• Focus on automation and reliability improvements.
• Proactive approach to incident prevention.
• Ability to reduce alert noise and improve signal quality.
• Data-driven approach to reliability engineering.

This Role Is Not For

• Candidates with purely development experience and no production ownership.
• Candidates without real incident response or on-call experience.
• Freshers or candidates with less than 3 years of experience.

Immediate Hiring: GCP DevOps Engineer | Mumbai & Bengaluru (On-site)

OpsTree Global is urgently hiring a GCP DevOps Engineer with 4–9 years of experience for immediate requirements in Mumbai and Bengaluru.

Key Skills

• Google Cloud Platform (GCP)
• Terraform / Infrastructure as Code (IaC)
• Kubernetes & Helm Charts
• CI/CD – Jenkins, GitLab CI, GitHub Actions
• Linux Administration
• Scripting – Python / Go / Java
• 
  

Role Responsibilities

• Build and manage scalable cloud infrastructure on GCP
• Automate deployments and infrastructure provisioning
• Ensure system reliability, monitoring, and performance optimization
• Collaborate with development and operations teams for seamless delivery

📍 Locations: Mumbai & Bengaluru (On-site)

⚡ Immediate Joiners Preferred

💼 Experience: 4–9 Years

We are seeking a skilled SysAdmin + DevOps Engineer. r to join AmpereHour Energy, where you will play a crucial role in making sure our software systems run without downtime and our infrastructure scales well. This position involves working on cloud and physical servers across multiple operating systems and fundamental understanding of computers and networking.

At AmpereHour Energy, we are dedicated to advancing sustainable energy solutions. Our team thrives on collaboration and innovation, driving impactful projects that contribute to a greener future. We value expertise and creativity, making it an exciting place for tech professionals to grow.

If you are interested in this opportunity and meet the qualifications outlined in the job description, we encourage you to apply and explore how you can contribute to our mission.

Inflection.io is a venture-backed B2B marketing automation company, enabling to communicate with their customers and prospects from one platform. We're used by leading SaaS companies like Sauce Labs, Sigma Computing, BILL, Mural, and Elastic, many of which pay more than $100K/yr (1 crore rupee).

And,... it’s working! We have world-class stats: our largest deal is over 3 crore, we have a 5 star rating on G2, over 100% NRR, and constantly break sales and customer records. We’ve raised $14M in total since 2021 with $7.6M of fresh funding in 2024, giving us many years of runway.

However, we’re still in startup mode with approximately 30 employees and looking for the next SDE3 to help propel Inflection forward. Do you want to join a fast growing startup that is aiming to build a very large company?

Key Responsibilities:

• Lead the design, development, and deployment of complex software systems and applications.
• Collaborate with engineers and product managers to define and implement innovative solutions
• Provide technical leadership and mentorship to junior engineers, promoting best practices and fostering a culture of continuous improvement.
• Write clean, maintainable and efficient code, ensuring high performance and scalability of the software.
• Conduct code reviews and provide constructive feedback to ensure code quality and adherence to coding standards.
• Troubleshoot and resolve complex technical issues, optimizing system performance and reliability.
• Stay updated with the latest industry trends and technologies, evaluating their potential for adoption in our projects.
• Participate in the full software development lifecycle, from requirements gathering to deployment and monitoring.

Qualifications:

• 5+ years of professional software development experience, with a strong focus on backend development.
• Proficiency in one or more programming languages such as Java, Python, Golang or C#
• Strong understanding of database systems, both relational (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra).
• Hands-on experience with message brokers such as Kafka, RabbitMQ, or Amazon SQS.
• Experience with cloud platforms (AWS or Azure or Google Cloud) and containerization technologies (Docker, Kubernetes).
• Proven track record of designing and implementing scalable, high-performance systems.
• Excellent problem-solving skills and the ability to think critically and creatively.
• Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment.

Position: Cloud Sales Executive Industry: Web Hosting & Cloud Solutions Experience: 1–4Years Location: Amrapali Circle, Vaishali Nagar, Jaipur. Employment Type: Full-Time About Us: We are a fast-growing web hosting and cloud services provider, delivering secure, scalable, and reliable digital infrastructure to businesses across industries. With a commitment to performance, innovation, and customer success, we empower clients with world-class solutions like Shared Hosting, VPS, Dedicated Servers, Reseller Hosting, and cloud offerings on AWS, Azure, and Google Cloud. We're looking for a Senior Business Development Executive who thrives in a fast-paced, tech-driven environment and is passionate about driving growth through strategic outreach and relationship building. Role Overview: As a Senior Business Development Executive, you will be responsible for identifying, engaging, and converting prospective clients into long-term partners. You will leverage multiple channels such as cold calls, emails, LinkedIn networking, and industry events to generate quality leads and close sales. This role requires in-depth IT sales knowledge, excellent communication skills, and a solid understanding of cloud technologies and modern hosting infrastructure. You’ll be the bridge between client needs and our technical capabilities, offering customized solutions that drive real business value. Key Responsibilities: o Proactively identify potential clients using calls, emails, social media (especially LinkedIn), and industry connections o Build and maintain a pipeline of qualified leads in Google Sheets, ensuring all interactions are logged and updated o Understand client requirements, pain points, and business goals to recommend suitable hosting or cloud solutions o Conduct product walkthroughs, presentations, and consultations to guide decision-making o Prepare professional, customized proposals, pricing quotations, and service agreements o Handle negotiations with confidence, ensuring win-win outcomes for both client and company o Will be responsible for B2B and B2C and Pre-Sales and Post Sales and Tech teams to ensure accurate scoping and troubleshooting. o Close deals and ensure a smooth handoff to onboarding and support teams o Stay updated with industry trends, competitor activities, and emerging cloud technologies (AWS, Azure, GCP, Linode) o Educate clients on the benefits of moving to the cloud or upgrading their hosting infrastructure o Work with the marketing team to align outreach strategies and campaign goals o Participate in webinars, exhibitions, and other marketing events to represent the company What We’re Looking For: • 4–6 years of proven experience in business development, preferably in web hosting, cloud, or IT infrastructure sales • Strong knowledge of web hosting services and cloud technologies like AWS, Azure, GCP, Linode and more. • Exceptional written and verbal communication skills • Ability to prepare accurate, compelling quotations and proposals • Self-driven, goal-oriented, and confident in both outbound sales and consultative selling • Strong presentation, negotiation, and relationship management skills • Ability to work independently while contributing to a collaborative team culture Preferred Skills (Bonus Points): • Technical certifications in cloud platforms (AWS/Azure/GCP, Linode) • Experience in managed web hosting services • Basic understanding of B2B and B2C Selling What We Offer: • Salary as per industry with performance-based incentives • A supportive and collaborative team environment • Opportunities for learning and certification in cloud and IT technologies • Career growth in a rapidly expanding company 

Data Engineer at Amura

Amura’s Vision

We believe that the most under-appreciated route to releasing untapped human potential is to build a healthier body, and through which a better brain. This allows us to do more of everything that is important to each one of us. Billions of healthier brains, sitting in healthier bodies, can take up more complex problems that defy solutions today, including many existential threats, and solve them in just a few decades.

Billions of healthier brains will make the world richer beyond what we can imagine today. The surplus wealth, combined with better human capabilities, will lead us to a new renaissance, giving us a richer and more beautiful culture. These healthier brains will be equipped with deeper intellect, be less acrimonious, more magnanimous, and have a kinder outlook on the world, resulting in a world that is better than any previous time.

We find this vision of the future exhilarating. Our hopes and dreams are to create this future as quickly as possible and ensure that it is widely distributed and optimized to maximize all forms of human excellence.

Role Overview

We are looking for a hands-on Data Engineer to design, build, and maintain scalable data pipelines and data platforms. You will work on ingesting, transforming, and serving data reliably for analytics, reporting, and downstream applications, collaborating closely with backend engineers, analysts, and data scientists. This role is ideal for someone who enjoys building robust data systems, working with large datasets, and writing clean, production-grade code.

Key Responsibilities

Data Pipelines & Development

• Build and maintain reliable ETL/ELT pipelines for batch and near-real-time data processing.
• Ingest data from multiple sources (databases, APIs, event streams, files).
• Transform raw data into clean, analytics-ready datasets.
• Optimize pipelines for performance, scalability, and cost.

Data Storage & Modeling

• Design and manage data models in data warehouses or data lakes.
• Work with SQL and NoSQL databases and modern data warehouses.
• Implement partitioning, indexing, and efficient query patterns.
• Maintain documentation for schemas, pipelines, and transformations.

Cloud & Tooling

• Build data solutions on cloud platforms (AWS preferred).
• Use services such as S3, Redshift, Athena, Glue, EMR, Lambda, Kinesis, or equivalents.
• Work with orchestration tools like Airflow or similar schedulers.
• Use version control, CI/CD, and Infrastructure-as-Code where applicable.

Data Quality & Reliability

• Implement data validation, monitoring, and alerting for pipelines.
• Troubleshoot data issues and ensure pipeline reliability.
• Collaborate with stakeholders to resolve data discrepancies.

Collaboration

• Partner with analytics, product, and engineering teams to understand data needs.
• Support analysts and data scientists with clean, accessible datasets.
• Participate in code reviews and contribute to data engineering best practices.

What We’re Looking For

• Experience: 4-6+ years of experience as a Data Engineer / Data Developer.
• Programming: Strong programming skills in Python.
• Databases: Excellent knowledge of SQL and relational data modeling.
• Pipelines: Experience building ETL/ELT pipelines in production.
• Cloud: Hands-on experience with cloud-based data platforms (AWS preferred).
• Concepts: Understanding of data warehousing concepts and best practices.

Nice to Have:

• Experience with Spark, Kafka, dbt, or Flink.
• Familiarity with orchestration tools like Airflow.
• Experience with streaming or event-driven data pipelines.
• Exposure to data quality or observability tools.
• Experience working with large-scale or high-volume datasets.

Additional Information

• Office Location: Chennai (Velachery).
• Work Model: Work from Office - because great stories are built in person!.
• Online Presence: https://amura.ai (@AmuraHealth on all social media).

Title: Sr. Python Developer (Full-Stack & AI)

Location: Onsite – Mumbai, Maharashtra (Western Line)

Experience: 2 - 5+ years

Pay: ₹400,000.00 - ₹600,000.00 per year

Joining: Immediate

About the Role

We are building AI products for enterprise use and need a Senior Python Developer for our core team. You will be responsible for the full-stack architecture—designing both the backend and frontend. We want someone who works smart by using AI tools to build fast, but also has great skills to code manually when the logic is complex or needs high precision.

Key Responsibilities

• Build and maintain full-stack applications using Python and Django.
• Use AI-powered IDEs and development tools as your primary method to ship code quickly.
• Perform manual coding and deep debugging for complex logic that AI cannot handle alone.
• Collaborate with AI/ML teams to put machine learning models into production.
• Design how the entire system (frontend, backend, and database) works together.
• Optimize the application for speed, security, and reliability.
• Participate in technical discussions and help make architecture decisions.

Required Skills & Experience

• Minimum 5 years of professional Python development experience.
• Strong expertise in Django (Primary) and experience with FastAPI or Flask.
• Full-stack capability: Ability to design and build both the frontend and backend.
• Modern Tooling: High proficiency in using AI-powered IDEs and AI dev-agents to speed up your workflow.
• Manual Coding: Strong ability to write clean, manual code for complex backend logic.
• Solid understanding of databases like PostgreSQL, MySQL, or Redis.
• Familiarity with Cloud platforms (AWS/Azure/GCP) and Docker.
• Experience or strong interest in AI/ML pipeline integration.

Good to Have

• Experience with React or Next.js for the frontend.
• Exposure to message brokers like RabbitMQ or Kafka.
• Knowledge of Vector databases or RAG pipelines.
• Experience with CI/CD and basic DevOps.

Experience:

• Total: 3 years (Required)
• Python/Django: 3 years (Required)

Work Location: In person (Borivali, Mumbai)

Job Title: DevOps Engineer

Experience Required: 4-6 Years

Desired Skills: Kubernetes, Docker, AWS, Azure, Python, Java, Terraform

Location: Pune

Employment Type: Full-time

We are looking for a DevOps Engineer who can think of automation at every step of software development. This includes hands-on experience and knowledge of the following -

• 4+ years of professional DevOps experience
• Hands-on expert development skills in Python/Java is a must
• Experience with Infrastructure as code tools such as Terraform
• Hands on experience with Kubernetes (EKS, AKS, GKE) or other container orchestration tools
• Containerization technologies and tools such as Docker
• Understanding of Cloud computing providers such as AWS, GCP, etc. and their services
• Configuring and spinning up applications and microservices on K8s clusters
• Good academics
• Good communication skills

Immediately available candidates would be preferred.

Job Title: Python Lead

Product: Identity Confluence- Identity Security, Governance and Administration Platform

Experience Required: 6-8 Years

Desired Skills: Python, Django/Flask, AWS

Location: Pune

Employment Type: Full-time

Job Description:

• We are looking for a Python Lead who has the following experience and expertise -
• Proficiency in developing RESTful APIs using Flask/Django or Fast API framework
• Hands-on experience of using ORMs for database query mapping
• Unit test cases for code coverage and API testing
• Using Postman for validating the APIs Experienced with GIT process and rest of the code management including knowledge of ticket management systems like JIRA
• Have at least 2 years of experience in any cloud platform
• Hands-on leadership experience
• Experience of direct communication with the stakeholders

Skills and Experience:

• Good academics
• Strong teamwork and communications
• Advanced troubleshooting skills

Ready and immediately available candidates will be preferred.

Company Description:

NonStop io Technologies, founded in August 2015, is a Bespoke Engineering Studio specializing in Product Development. With over 80 satisfied clients worldwide, we serve startups and enterprises across prominent technology hubs, including San Francisco, New York, Houston, Seattle, London, Pune, and Tokyo. Our experienced team brings over 10 years of expertise in building web and mobile products across multiple industries. Our work is grounded in empathy, creativity, collaboration, and clean code, striving to build products that matter and foster an environment of accountability and collaboration.

Brief Description:

NonStop io is seeking a proficient .NET Developer to join our growing team. You will be responsible for developing, enhancing, and maintaining scalable applications using .NET technologies. This role involves working on a healthcare-focused product and requires strong problem-solving skills, attention to detail, and a passion for software development.

Responsibilities:

• Design, develop, and maintain applications using .NET Core/.NET Framework, C#, and related technologies
• Write clean, scalable, and efficient code while following best practices
• Develop and optimize APIs and microservices
• Work with SQL Server and other databases to ensure high performance and reliability
• Collaborate with cross-functional teams, including UI/UX designers, QA, and DevOps
• Participate in code reviews and provide constructive feedback
• Troubleshoot, debug, and enhance existing applications
• Ensure compliance with security and performance standards, especially for healthcare-related applications

Qualifications & Skills:

• Strong experience in .NET Core/.NET Framework and C#
• Proficiency in building RESTful APIs and microservices architecture
• Experience with Entity Framework, LINQ, and SQL Server
• Familiarity with front-end technologies like React, Angular, or Blazor is a plus
• Knowledge of cloud services (Azure/AWS) is a plus
• Experience with version control (Git) and CI/CD pipelines
• Strong understanding of object-oriented programming (OOP) and design patterns
• Prior experience in healthcare tech or working with HIPAA-compliant systems is a plus

Why Join Us?

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

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

Job Description – Software Engineer (Java Spring Boot + Angular)

Location: Whitefield, Bangalore (Work from Client Office)

Experience: 4–8 years

Role Overview

We are hiring Software Engineers with strong experience in Java Spring Boot and Angular to work on enterprise-level applications at the client office in Whitefield, Bangalore.

Key Responsibilities

• Develop and maintain backend services using Java, Spring Boot, REST APIs.
• Build interactive front-end modules using Angular.
• Collaborate with the lead, QA, and product team for high-quality delivery.
• Understand requirements, participate in design discussions, and contribute to technical solutions.
• Write clean, maintainable, and scalable code.
• Perform unit testing and integration testing.
• Fix bugs, optimize code, and improve application performance.

Technical Skills Required

• Strong coding skills in Java 8+, Spring Boot, RESTful API development.
• Experience working with Angular.
• Good understanding of Microservices concepts.
• Strong knowledge of SQL/NoSQL databases.
• Experience with version control (Git), CI/CD pipelines, and build tools.
• Familiarity with cloud services is a plus.

Soft Skills

• Good communication and teamwork skills.
• Ability to work independently and handle tasks with minimal supervision.
• Strong debugging and problem-solving skills.

Note: One technical round is mandatory to be taken F2F from office.

About LJI

Loyalty Juggernaut (LJI) is a leading B2B SaaS company redefining how enterprises drive customer engagement and loyalty. Our flagship platform, GRAVTY®, enables global brands to transform loyalty programs into measurable, revenue-generating growth engines.

Built as an AI-first, next-generation solution, GRAVTY® empowers organizations to deliver highly personalized, real-time experiences at scale—helping them increase customer lifetime value and deepen brand relationships.

Headquartered in Palo Alto, California, LJI partners with leading enterprises across 16 major industries including airlines, retail, hospitality, financial services and telecommunications powering some of the most innovative loyalty ecosystems worldwide.

Our Global Impact:

• 400+ Million members connected through our platform.
• 100+ Global Brands trust us to drive loyalty and brand devotion.
• 3-Time Winner of “Best Technology Innovation in Loyalty”.
• Global recognitions for Excellence in Loyalty Management under numerous categories.
• Recognised as a ‘Strong performer’ in The Forrester Wave™ Loyalty Platforms, Q4 2025.

Explore more about us at www.lji.io

What you will OWN:

• Build the infrastructure required for optimal extraction, transformation, and loading of data from various sources using SQL and AWS ‘big data’ technologies.
• Create and maintain optimal data pipeline architecture.
• Identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Work with stakeholders, including the Technical Architects, Developers, Product Owners, and Executives, to assist with data-related technical issues and support their data infrastructure needs.
• Create tools for data management and data analytics that can assist them in building and optimizing our product to become an innovative industry leader.

You would make a GREAT FIT if you have:

• Have 2 to 5 years of relevant backend development experience, with solid expertise in Python.
• Possess strong skills in Data Structures and Algorithms, and can write optimized, maintainable code.
• Are familiar with database systems, and can comfortably work with PostgreSQL, as well as NoSQL solutions like MongoDB or DynamoDB.
• Hands-on experience using Cloud Dataware houses like AWS Redshift, GBQ, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift, and AWS Batch would be an added advantage.
• Have a solid understanding of ETL processes and tools and can build or modify ETL pipelines effectively.
• Have experience managing or building data pipelines and architectures at scale.
• Understand the nuances of data ingestion, transformation, storage, and analytics workflows.
• Communicate clearly and work collaboratively across engineering, product.

Why Choose US?

• This opportunity offers a dynamic and supportive work environment where you'll have the chance to not just collaborate with talented technocrats but also work with globally recognized brands, gain exposure, and carve your own career path.
• You will get to innovate and dabble in the future of technology -Enterprise Cloud Computing, Blockchain, Machine Learning, AI, Mobile, Digital Wallets, and much more.

Job Summary

We are looking for a skilled AI/ML Engineer with strong expertise in Python, Machine Learning, and Cloud technologies. The ideal candidate should have experience in building, deploying, and optimizing AI/ML models and scalable backend systems in cloud environments.

Key Responsibilities

• Design, develop, and deploy AI/ML models for real-world business use cases
• Build scalable backend systems and ML pipelines using Python
• Work on data preprocessing, feature engineering, model training, and evaluation
• Deploy and manage ML models on cloud platforms such as AWS, Azure, or GCP
• Develop REST APIs and microservices for AI-driven applications
• Collaborate with data engineers, product teams, and developers to deliver AI solutions
• Optimize model performance, scalability, and inference speed
• Work with structured and unstructured datasets for predictive analytics and automation
• Monitor, troubleshoot, and improve deployed ML systems

Required Skills

• Strong proficiency in Python
• Hands-on experience with Machine Learning frameworks:
• Scikit-learn
• TensorFlow / PyTorch
• Experience in AI/ML model development and deployment
• Good understanding of:
• Data Structures & Algorithms
• Model training & evaluation
• Data preprocessing
• Experience with cloud platforms:
• AWS / Azure / Google Cloud Platform
• Knowledge of REST APIs and backend development
• Experience with databases such as PostgreSQL, MySQL, or MongoDB
• Familiarity with Docker, Kubernetes, or CI/CD pipelines
• Strong debugging and analytical skills

Good-to-Have Skills

• Experience with NLP, LLMs, or Generative AI
• Exposure to MLOps tools and workflows
• Knowledge of FastAPI or Flask
• Experience with distributed systems or microservices architecture
• Familiarity with vector databases and AI integrations

Preferred Qualifications

• Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or related field
• Experience working in Agile/Scrum environments
• Strong communication and collaboration skills

Desired Profile

• Passion for AI and emerging technologies
• Strong ownership and problem-solving mindset
• Ability to work independently and in a fast-paced environment
• Eagerness to learn and adapt to new tools and technologies 

About ZYSYGY

ZYSYGY is building Germany's zero-fee payment network. Merchants pay zero transaction fees. We route payments directly over SEPA Instant, bypassing Visa, Mastercard, and the entire card network chain. No hardware. No card reader. Just a phone.

We are building the first company to combine a fully software-based merchant POS with a consumer super-app for everyday financial life: payments, transport, utilities, government services, all in one place. Think what UPI did for India. We are doing it for Germany, from the ground up, on banking rails.

Role Overview

You will join the core engineering team as a founding engineer. You will own the backend payment engine end to end: transaction flows, wallet management, SEPA Instant settlement, KYB/KYC integration, recurring mandates, refund logic, and the compliance export layer (DATEV, Kassenbuch, GoBD, fiskaltrust). On mobile, you will contribute to the React Native consumer and merchant apps alongside our mobile engineer.

You will own what you build from development through deployment, monitoring, and production reliability. The architecture decisions you make in the first six months will run in production for years.

What you will do

Design and build the backend payment engine: transaction flows, wallet management, SEPA Instant settlement, offline payment authorization, and recurring mandate billing.

Own KYB/KYC integration and the compliance export layer: DATEV, Kassenbuch, GoBD, and fiskaltrust for KassenSichV.

Build REST APIs for financial-grade reliability and high-throughput transaction processing, including full R-transaction handling and reconciliation pipelines.

Contribute to the React Native consumer and merchant mobile apps alongside our mobile engineer.

Own the full lifecycle of what you build, from development through deployment, monitoring, and continuous improvement.

Integrate AI tooling into your development workflow as a matter of course: code generation, automated testing, and intelligent review.

Who you are

Meaningful hands-on experience building payment systems, fintech infrastructure, or financial APIs.

You have designed a ledger. You understand double-entry bookkeeping, immutable transaction records, and why you never update a financial row.

You have solved the partial failure. Money left one wallet and did not arrive in the other. You know how to detect it, resolve it, and make sure it does not happen again.

You understand idempotency at a design level. You have built systems that survive client retries, duplicate webhooks, and network drops without double-charging anyone.

You have built or reasoned about reconciliation: detecting discrepancies between your internal ledger and an external settlement file, and resolving them reliably at scale.

You understand KYC and KYB state machines, what happens when verification status changes mid-transaction, and what a regulator expects from your audit trail.

You are comfortable with SQL databases and own the full lifecycle of your code from development through deployment.

You can communicate technical decisions clearly to non-technical stakeholders. At this stage of the company, that matters.

You are a continuous learner. Payments infrastructure is a deep domain and you treat it that way.

You are comfortable with ambiguity and early-stage risk. There is no playbook yet. You will help write it.

Strong academic background preferred. Demonstrated engineering ability matters more than institution.

Relocation

Relocation to Munich, Germany, is on the table for the right candidate, including visa support.

Connect with the Founder

You can also connect with me on LinkedIn at www.linkedin.com/in/shabbir-maimoon

About the Role

We are looking for a skilled and passionate Python Developer with strong experience in Flask framework to join our growing development team. The ideal candidate should have hands-on experience in developing scalable backend applications, REST APIs, and integrating databases/services in a fast-paced environment.

Key Responsibilities

• Develop, test, and maintain backend applications using Python and Flask.
• Design and build RESTful APIs for web and mobile applications.
• Collaborate with frontend developers, QA teams, and product stakeholders.
• Write reusable, scalable, and efficient code.
• Integrate third-party APIs and services.
• Optimize application performance and troubleshoot issues.
• Work with databases and ensure data security and integrity.
• Participate in code reviews and technical discussions.
• Maintain proper documentation for development activities.

Required Skills

• 3+ years of experience in Python development.
• Strong hands-on experience with Flask framework.
• Good understanding of REST API development.
• Experience with MySQL/PostgreSQL/MongoDB databases.
• Familiarity with ORM libraries such as SQLAlchemy.
• Knowledge of Git/version control systems.
• Understanding of software development lifecycle and agile methodologies.
• Basic understanding of Docker and deployment processes is an added advantage.
• Good debugging and problem-solving skills.

Preferred Skills

• Experience with AWS/Azure or cloud platforms.
• Exposure to microservices architecture.
• Familiarity with CI/CD pipelines.
• Knowledge of frontend technologies like React or Angular is a plus.

Educational Qualification

• Bachelor’s degree in Computer Science, Information Technology, or related field.

What We’re Looking For

• Immediate joiner or candidates with short notice period.
• Strong communication and teamwork skills.
• Self-driven and proactive mindset.

Designation: Cloud Sales Specialist (AWS/GCP/AZURE) (Field Sales)

Location: Mumbai (Andheri West) / Bengaluru

Experience: 5 to 10 Years relevant experience

Industry: Cloud Solutions/IT Services

About the Role

We are looking for a high-performing Sales Specialist (Field Sales) with strong industry connect & solution selling and a proven ability to close high-value deals.

This role is ideal for someone who is a true sales hunter, with strong CXO-level connect, ability to independently drive revenue through field engagement, principal vendors’ connections and strategic selling.

Important Note 

This role strictly requires hands-on Cloud Sales experience and existing CXO connections. Profiles from non-cloud or purely generic IT sales backgrounds will not be considered.

Key Responsibilities

• Own and drive end-to-end field sales for Cloud Services (AWS/Azure/GCP)
• Manage the region by Identifying, acquiring, and growing new business opportunities
• Build and leverage CXO-level relationships to drive business
• in-person client meetings, presentations, and solution positioning
• Collaborate with pre-sales & technical teams for solution-based selling
• Manage complete sales cycle: prospecting → negotiation → closure
• Consistently achieve and exceed sales targets
• Maintain strong pipeline management and forecasting discipline

Must-Have Experience

• 5-10 years in core Cloud Sales (AWS / Azure / GCP / Cloud Solutions)
• Proven track record in closing high-value deals
• Strong existing CXO / decision-maker connects (mandatory)
• Hands-on experience in field sales & direct client engagement
• Strong understanding of cloud ecosystem & solution selling

What Makes You a Great Fit

• A go-getter sales professional with strong hunting ability
• Ability to open doors, build trust, and close deals independently
• Strong network across decision-makers and business stakeholders
• High ownership mindset with a target-driven approach

What’s in It for You

• Opportunity to work directly with CXOs and key decision-makers
• Fast-track growth into leadership roles
• Exposure to leading cloud ecosystems (AWS / Azure / GCP)

Build, deploy, and maintain production-grade AI/ML solutions for Fortune 500 enterprise clients on Google Cloud Platform. Hands-on role focused on shipping scalable AI systems across GenAI, agentic workflows, traditional ML, and computer vision.

Key Responsibilities:

Generative AI & Agentic Systems

• Design and build GenAI applications (RAG, agentic workflows, multi-agent systems)
• Develop intelligent systems with memory, planning, and reasoning capabilities
• Implement prompt engineering, context optimization, and evaluation frameworks
• Build observable and reliable multi-agent architectures

Traditional ML & Computer Vision

• Develop ML pipelines (forecasting, recommendation, classification, regression)
• Build production-grade computer vision solutions (document AI, image analysis)
• Perform feature engineering, model optimization, and benchmarking

MLOps & Production Engineering

• Own end-to-end ML lifecycle (CI/CD, testing, versioning, deployment)
• Build scalable APIs, microservices, and data pipelines
• Monitor models, detect drift, and implement A/B testing frameworks

Knowledge Solutions

• Architect knowledge graphs and semantic search systems
• Implement hybrid retrieval (vector + keyword search)

Client Collaboration

• Present technical solutions to enterprise clients
• Collaborate with architects, data engineers, and business teams

Required Skills & Experience

• 3–6 years of hands-on ML Engineering experience
• Strong Python and software engineering fundamentals
• Experience shipping production ML systems on cloud (GCP preferred)
• Experience across GenAI, Traditional ML, Computer Vision
• MLOps experience and RAG-based systems

Preferred

• GCP Professional ML Engineer certification
• Knowledge graphs / semantic search experience
• Experience in regulated industries (Healthcare / BFSI)
• Open-source or technical publications

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

Role Overview:

Virtana is looking for a Senior DevOps Engineer to join our R&D Infrastructure team. In this role, you won't just follow conventions — you'll help redefine them. You will own the architecture, build, and day-to-day operations of the GCP-based cloud platform that powers Virtana's SaaS products and the AI-driven observability experience our Global 2000 customers depend on. This is a hands-on senior individual contributor role with meaningful technical leadership scope, working alongside engineers and architects on a unified observability platform.

Work Location: Pune

Job Type: Hybrid

Role Responsibilities:

• GCP Cloud Operations: Develop, deploy, operate, and support production cloud infrastructure primarily on GCP — leveraging GKE, BigTable, BigQuery, Dataflow, Cloud Storage, IAM, and core networking services.
• Reliability & SLAs: Ensure production systems are running at all times with multiple levels of redundancy to meet committed SLAs; lead incident response, root cause analysis, and post-incident reviews.
• Build & Release Automation: Design, implement, and continuously improve scalable CI/CD pipelines and test frameworks leveraged by QA and development teams across the company.
• Infrastructure as Code: Manage large-scale, repeatable deployments using Terraform, Ansible, Puppet, or SaltStack; champion Git-based workflows and version control standards for distributed engineering teams.
• Security & Availability: Maintain the ongoing maintenance, security, patching, and availability of services in line with tight operations, security, and procedural models.
• Monitoring & Alerting: Plan and deliver high-value monitoring and alerting features to support operations, support, and customer-facing reliability — eating our own dog food with the Virtana Platform wherever possible.
• Capacity & Cost: Forecast capacity, plan upgrades, patches, and migrations, and drive cloud cost efficiency across hybrid and multi-cloud environments.
• Cross-Functional Partnership: Work with development, operations, and support personnel to identify, isolate, and diagnose issues; handle support escalations and drive permanent fixes.

Required Qualifications:

• Bachelor's degree in Computer Science / Engineering or equivalent relevant experience.
• 5–7 years of professional hands-on DevOps / SRE experience supporting production cloud environments.
• Strong, demonstrable production experience on GCP — including GKE, BigTable, BigQuery, Dataflow, IAM, and core GCP networking services.
• Deep, hands-on expertise with container orchestration (Kubernetes) and Docker in production.
• Advanced proficiency with at least one infrastructure-as-code / configuration management tool: Terraform, Ansible, Puppet, or SaltStack.
• Solid understanding of networking, firewalls, load balancers, DNS, and database operations.
• Strong working knowledge of Git-based workflows and version control standards for distributed engineering teams.
• Comfort operating hybrid environments that include both Linux and Windows ecosystems.
• Excellent verbal and written communication skills, with the ability to explain highly technical topics to both technical and non-technical audiences.
• Self-motivated, detail-oriented, and able to work both independently and within a globally distributed team.

Good to Have:

• Strong scripting skills and a demonstrated ability to automate operational toil — Python preferred; Bash, Go, or Groovy a plus.
• Hands-on experience designing and operating CI/CD pipelines with Jenkins (Spinnaker, GitHub Actions, or GitLab CI also welcome).
• Exposure to AWS or other public clouds in addition to GCP.
• Experience operating SaaS platforms built on microservices architectures.

The Role

As a Senior Site Reliability Engineer at Blitzy's Pune headquarters, you will be the backbone of our platform's reliability, scalability, and operational excellence. You'll work at the intersection of software engineering and infrastructure, ensuring our AI-powered development platform remains highly available and performant as we scale rapidly. This is a high-impact, hands-on role for an engineer who thrives in a fast-moving environment and takes deep ownership of the systems they build.

What Success Looks Like

• In 30 days: You have a deep understanding of Blitzy's infrastructure architecture, have identified key reliability risks, and are actively contributing to on-call rotations.
• In 90 days: You have shipped meaningful improvements to observability, incident response workflows, and deployment pipelines that measurably reduce MTTR and increase system uptime.
• In 6 months: You have driven at least one major reliability initiative from inception to production, established SLO/SLA frameworks for critical services, and are a trusted technical voice shaping our infrastructure roadmap.

Areas of Ownership

• Design, build, and operate scalable, fault-tolerant infrastructure across cloud environments (AWS, GCP, or Azure).
• Define and enforce SLOs, SLAs, and error budgets; lead blameless postmortems and drive systemic improvements.
• Build and maintain robust CI/CD pipelines, release automation, and deployment infrastructure.
• Own observability: design and maintain logging, metrics, tracing, and alerting stacks (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).
• Partner closely with software engineering teams to embed reliability practices into the development lifecycle.
• Drive capacity planning, performance benchmarking, and cost optimization across our infrastructure.
• Champion security best practices within the infrastructure and deployment layers.

Required Experience

• 5+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering roles.
• Strong proficiency in at least one major cloud platform (AWS preferred); experience with Kubernetes and container orchestration at scale.
• Hands-on experience with infrastructure-as-code tools (Terraform, Pulumi, or equivalent).
• Proven track record designing and maintaining high-availability, distributed systems.
• Deep expertise in observability tooling, incident management, and on-call practices.
• Strong scripting and automation skills (Python, Go, Bash, or similar).
• Excellent communication skills with the ability to collaborate across engineering teams and present technical findings to leadership.

What Makes You Stand Out

• Experience supporting AI/ML workloads or GPU-accelerated infrastructure.
• Prior experience in a high-growth startup environment where you wore multiple hats.
• Familiarity with eBPF, service mesh technologies (Istio, Linkerd), or advanced networking.
• Contributions to open-source SRE/DevOps tooling or communities.
• Experience building global, multi-region infrastructure with strict latency and availability requirements.

What Makes This Role Different

You won't be maintaining legacy systems or fighting fires in a sprawling monolith. At Blitzy, you're building reliability into a greenfield AI platform that is redefining how the world creates software. You'll have direct influence over architectural decisions, work side-by-side with world-class engineers, and see the tangible impact of your work as we scale to serve Fortune 500 customers. As a founding member of the Pune SRE team, you'll help shape the culture and technical standards of a team that will grow with the company.

Job Title : Technical Team Lead (Python/Django)

Experience Required : 8+ Years

Location : Surat

Work Mode : On-site

Employment Type : Full-time

About the Role :

We are looking for an experienced Technical Team Lead to drive architecture, scalability, and end-to-end product engineering for a fast-growing technology platform.

The ideal candidate should have strong expertise in Python/Django-based backend systems, scalable cloud infrastructure, and modern frontend/mobile technologies.

This role requires a hands-on technical leader who can mentor engineers, make architectural decisions, ensure production stability, and collaborate closely with product and design teams to deliver high-quality software solutions.

Mandatory Skills :

Python, Django, MongoDB, REST APIs, AWS, CI/CD, React.js/Flutter, JWT Authentication, GitHub Actions, AI/ML Integrations, Team Leadership.

Key Responsibilities :

• Lead architecture and technical direction across backend, frontend, mobile, and infrastructure layers.
• Design and maintain scalable, secure, and high-performance systems.
• Review code, enforce engineering standards, and maintain development best practices.
• Manage backend APIs, database optimization, and cloud deployments.
• Drive CI/CD implementation and release management processes.
• Work on AI/ML integrations and intelligent automation features.
• Ensure smooth end-to-end feature delivery from development to production deployment.
• Mentor and guide backend/frontend engineers and conduct technical reviews.
• Collaborate with product, design, and business stakeholders.
• Handle production incidents, debugging, and system reliability ownership.
• Improve application performance, monitoring, and scalability.

Technical Skills Required :

Backend & Database :

• Strong expertise in Python and Django framework.
• Experience building and maintaining large-scale REST APIs.
• MongoDB design, aggregation pipelines, & query optimization.
• Authentication and authorization using JWT.
• Experience with WebSockets and real-time systems.

Frontend & Mobile :

• Hands-on experience with React.js and Redux.
• Knowledge of Flutter (Dart) is preferred.

Cloud & DevOps :

• AWS EC2, S3, and cloud infrastructure management.
• CI/CD pipeline implementation using GitHub Actions.
• Git workflows, branching strategy, PR reviews, and release management.

AI & Integrations :

• Experience integrating OpenAI or similar AI/ML services.
• Payment gateway integration experience.
• Push notification systems such as Firebase FCM.

Required Qualifications :

Must Have :

• 8+ years of experience in Backend or Full Stack Development.
• Strong experience with Python/Django in production environments.
• Expertise in scalable backend architecture and API development.
• Experience with MongoDB optimization and cloud deployments.
• Hands-on experience with CI/CD and DevOps workflows.
• Strong debugging, problem-solving, and leadership abilities.

Preferred Skills :

• Experience leading teams of 3–8 engineers.
• Exposure to AI-driven applications or intelligent systems.
• Experience in Health-tech, Food-tech, or consumer platforms.
• Knowledge of scalable real-time applications and event-driven systems.

Development & Engineering Practices :

• Feature branch-based development workflow.
• Pull Request reviews with approval process.
• Protected production branches and controlled deployments.
• Sandbox/UAT testing before production release.
• Automated deployment pipelines using GitHub Actions.
• Strong focus on auditability, monitoring, and production stability.

Soft Skills :

• Strong communication and stakeholder management skills.
• Ownership mindset with leadership capabilities.
• Ability to work in a fast-paced product environment.
• Team mentoring and collaboration skills.
• High attention to scalability, reliability, and code quality.

Wama Technology

Location: Mumbai (Onsite - Chembur)

Experience: 8 – 14 years

Salary: ₹10L – ₹16.5L/yr (Monthly: ₹85,000 – ₹1,40,000 depending on skill set)

Employment Type: Full-time

Job Description:

We are looking for a high-caliber Lead PHP – Laravel Developer with a strong background in technical leadership to join our team. This role requires a blend of deep hands-on coding and strategic team management. You will oversee a team of developers while acting as the primary technical liaison for our client, ensuring that the architecture is scalable and that the team follows rigorous development standards.

Key Responsibilities:

• Team Leadership: Manage and mentor a team of developers, conduct code reviews, and drive technical excellence across the sprint.
• Architecture & Design: Design complex database schemas and system architectures using Laravel 10+ and PHP 8.x best practices.
• Client Management: Lead technical discussions with client stakeholders to gather requirements and provide progress updates.
• Code Quality: Implement standardized linting, unit testing, and documentation protocols to maintain a high-quality codebase.
• Performance Optimization: Identify and fix bottlenecks in high-traffic applications, focusing on Eloquent query optimization and caching strategies.

Technical Skills & Qualifications:

• Total Experience: 8–14 years in PHP Development.
• Leadership Experience: Strictly 4+ years of experience in leading technical teams, managing sprints, and mentoring junior/mid-level developers.
• Laravel Expertise: Advanced proficiency in Laravel (Service Containers, Service Providers, Middlewares, and Custom Packages).
• Full-Stack Capability: * Strong frontend skills: Tailwind CSS, JavaScript (ES6+), and HTML5/CSS3.
• Working knowledge of React.js and TypeScript for modern interface development.
• Database & API: * Expertise in MySQL (Complex joins, indexing, and optimization).
• Deep experience in developing and securing RESTful APIs with OAuth/Sanctum.
• Environment: Proficiency in Docker, Linux/Ubuntu server management, and Git (Gitflow workflow).

Additional Requirements:

• Agile Mastery: Deep understanding of Scrum/Agile ceremonies and the ability to manage workloads via Jira or ClickUp.
• AI-Driven Development: Experience integrating or using AI-assisted tools (Cursor, Windsurf, or GitHub Copilot) to increase team velocity is a significant plus.
• Communication: Fluent professional English is mandatory for client-side coordination.

What We Offer

• Leadership Role: High-level autonomy to make architectural decisions and lead a dedicated team.
• Competitive Pay: A performance-driven salary package with growth opportunities.

Experience:

• Total PHP Development: 8+ years (Required)
• Team Leading: 3+ years (Required)
• Laravel: 6+ years (Required)

About the Role

We are seeking a proactive and detail-oriented Site Reliability Engineer (SRE) with 3+ years of experience to ensure high availability, reliability, and performance of production systems.

This role focuses on automation, observability, incident management, and cross-team coordination to drive operational excellence.

Key Responsibilities

· Maintain reliable, scalable, and secure production environments.

· Implement and manage monitoring, alerting, and logging solutions.

· Contribute to defining and tracking SLIs/SLOs and support error budget practices.

· Automate operational tasks to improve efficiency and reduce manual effort.

· Perform troubleshooting and Root Cause Analysis (RCA) for production incidents.

· Optimize system performance, availability, and capacity.

· Maintain runbooks, SOPs, and incident documentation in Confluence.

· Adhere to change management, deployment governance, and disaster recovery standards.

· Support incident response for critical production services.

Collaboration & Tools

· Coordinate with external vendors and internal cross-functional teams.

· Work closely with Engineering, Product Owners, and Operations teams.

· Manage incidents and changes using ServiceNow & JIRA.

· Collaborate through Slack and structured communication channels.

Technical Skills

Systems & Cloud

· Strong knowledge of Windows and Linux/Unix systems.

· Solid understanding of networking fundamentals (DNS, TCP/IP, Load Balancing, Firewalls).

· Experience with at least one cloud platform (AWS, Azure, or GCP).

Automation & CI/CD

· Proficiency in one scripting/programming language (Python, Go, Bash, PowerShell, or Java).

· Understanding of CI/CD pipelines and automation practices.

Containers & Observability

· Hands-on experience with Docker and Kubernetes.

· Experience with monitoring tools such as Grafana or Power BI.

· Ability to analyze logs, metrics, and traces for troubleshooting.

ITSM & Documentation

· Experience with ServiceNow & JIRA (incident/change/problem workflows).

· Working knowledge of Confluence for technical documentation and knowledge management.

Additional Experience (Preferred)

· Background in DevOps, Cloud Engineering, or Platform Engineering.

· Understanding of security best practices and compliance standards.

· Familiarity with AI-assisted engineering tools (Claude Code, Jellyfish, GitHub Copilot).

· Exposure to large-scale or production-grade systems.

Soft Skills

· Strong analytical and troubleshooting mindset.

· Excellent written and verbal communication skills.

· Effective stakeholder and vendor coordination.

· Ownership-driven and composed during high-severity incidents.

Applying to jobs at Ampera is completely free. We never ask candidates for any payment.

About the Company

We are building an AI-driven platform focused on redefining how individuals explore and understand global markets. We are building a modern analytics layer that simplifies complex financial data into intuitive, structured insights.

Our approach combines data science, AI, and systematic frameworks to bring clarity, transparency, and accessibility to market intelligence.

• Mission: To build trustworthy, data-driven platforms that simplify complex markets and empower users to make informed decisions.
• Values: Customer-centricity, ownership, integrity, and continuous improvement.
• Culture: Collaborative, inclusive, experiment-driven, and supportive of professional growth.
• Why join: Opportunity to work on production SaaS and AI features, take high ownership, and make a visible impact on product direction.

About the Role

We are looking for a DevOps Engineer to manage deployments, cloud infrastructure, and system reliability while ensuring secure and scalable systems.

You will work on a live SaaS product and upcoming AI-driven modules, contributing directly to production systems.

Key Responsibilities

DevOps (Core):

• Set up and manage CI/CD pipelines (GitHub Actions preferred)
• Deploy and manage applications on AWS or similar cloud platforms
• Manage Linux-based servers and environments
• Ensure high availability, uptime, and performance
• Automate deployment workflows

Security (Integrated):

• Implement secure deployment practices
• Manage access control, secrets, and credentials
• Monitor logs and system activity
• Identify and fix basic vulnerabilities
• Support audit/log requirements (future compliance readiness)

Requirements

• 1–3 years of experience in DevOps / Cloud / System Administration
• Strong hands-on experience with Linux systems
• Experience with AWS or any cloud platform
• Experience with CI/CD tools (GitHub Actions preferred)
• Understanding of networking basics (DNS, HTTP/HTTPS, ports)
• Experience with Git & version control

Good to Have

• Docker / containerization
• Experience with Python-based deployments
• Basic knowledge of databases (PostgreSQL or similar)
• Monitoring/logging tools
• Basic understanding of security concepts (OWASP, API security)

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. 

Accountabilities

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientist to build and deploy machine learning models.

Vice President Expectations

• To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..
• If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others..
• OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

To be a successful Senior Data Engineer, you should have experience with:

• Hands on experience to work with large scale data platforms & in development of cloud solutions in AWS data platform with proven track record in driving business success.
• Strong understanding of AWS and distributed computing paradigms, ability to design and develop data ingestion programs to process large data sets in Batch mode using Glue, Lambda, S3, redshift and snowflake and data bricks.
• Ability to develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies. Hands on programming experience in python and PY-Spark.
• Understanding of Dev Ops Pipelines using Jenkins, GitLab & should be strong in data modelling and Data architecture concepts & well versed with Project management tools and Agile Methodology.
• Sound knowledge of data governance principles and tools (alation/glue data quality, mesh), Capable of suggesting solution architecture for diverse technology applications.

Additional relevant skills given below are highly valued:

• Experience working in financial services industry & working in various Settlements and Sub ledger functions like PNS, Stock Record and Settlements, PNL.
• Knowledge in BPS, IMPACT & Gloss products from Broadridge & creating ML model using python, Spark & Java.

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

About Simbian

Simbian is at the forefront of cybersecurity innovation, leveraging purpose-built AI Agents to deliver 10x security outcomes for global enterprises and MSSPs. Our platform autonomously investigates and responds to alerts, freeing security teams from repetitive tasks. Simbian combines privacy-first technology, proven integration with 70+ enterprise tools, and rapid deployment for measurable value. Role

Overview

We are seeking a collaborative, innovative DevOps Engineer passionate about enabling secure, scalable operations for cutting-edge cybersecurity products. Join our team during a period of high growth and help architect the future of agentic AI security platforms.

Key Responsibilities

• Kubernetes Management:

o Manage and maintain production-grade Kubernetes clusters across multiple cloud providers (AWS is essential, Azure is valuable, GCP is a plus).

o Deploy, upgrade, troubleshoot, and scale stateful and stateless workloads (NGINX, Postgres, MongoDB, OpenCTI, OpenSearch, Kafka, Hadoop, Fluentd) in Kubernetes.

• Cloud Operations:

o Operate and optimize cloud environments, with strong expertise in AWS (AWS Certified Solutions Architect Professional or equivalent Azure cert preferred).

o Design, deploy, and manage infrastructure on AWS and Azure (GCP optional). • SQL Database Management:

o Administer SQL databases, ideally Postgres, on Kubernetes clusters or cloud VMs.

o Perform routine maintenance, backups, upgrades, monitoring, and optimization.

• Infrastructure as Code:

o Build, install, upgrade, and maintain Helm charts with expertise.

o Use and understand Ansible for cloud automation (AWS/Azure), and Terraform for infrastructure provisioning.

• Monitoring, Logging, Observability:

o Implement and manage logging and metrics stacks using OpenSearch/Elasticsearch, Prometheus, Grafana, Thanos or similar open source tools.

• Programming & Scripting:

o Develop automation scripts in Bash (proficient with control structures). o Produce scripts or microservices in Node.js (preferred) or Python/Django (bonus).

• CI/CD:

o Build and maintain CI/CD pipelines preferably using GitHub Actions (Jenkins or equivalent is acceptable).

• Containerization:

o Create, manage, and troubleshoot Docker/Podman containers, images, volumes, and use Docker Compose for local development.

• Customer-Facing On-Prem Deployments (Bonus):

o Install, configure, and support Kubernetes on customer premises.

o Demonstrate ownership, initiative, and strong customer communication skills.

o Solid knowledge of Linux administration, networking, and cloud environments.

What You’ll Bring:

• 4+ years’ experience in DevOps, SRE, or Production Engineering.

• Mastery of Kubernetes, AWS, infrastructure automation, and database management.

• Strong collaborative, curious, and growth-driven mindset.

• Ability to challenge ideas, drive innovation, and embrace rapid change.

• Excellent communication for technical customer interactions.

Why Join Simbian?

• Work with pioneering agentic AI security—impact global security teams.

• Shape infrastructure for privacy-first technology in a high-growth startup.

• Enjoy a dynamic remote-first work culture with opportunities for ownership and advancement. 

we are currently hiring for Junior DevOps Developer 

Can you pls check below Job Description for the post 

Job Description: Junior DevOps Developer (0.6 – 1.5 Years Experience)

Job Title: Junior DevOps Developer

Experience: 6 months to 1.5 years

Employment Type: Full-time

About the Role:

We are looking for a motivated Junior DevOps Developer to support our development and operations teams. You will assist in managing cloud infrastructure, improving deployment processes, and maintaining system reliability.

Key Responsibilities:

• Assist in managing and maintaining cloud infrastructure (AWS/GCP/Azure)
• Support CI/CD pipeline setup and maintenance
• Help automate deployment processes and routine tasks
• Monitor system performance and troubleshoot issues
• Assist in containerization using Docker and Kubernetes
• Perform root cause analysis for production issues
• Collaborate with developers to improve system performance and scalability
• Maintain documentation for infrastructure and processes
• cloud platform and infrastructure include hetzener

Required Skills:

• Basic understanding of DevOps concepts and workflows
• Knowledge of cloud platforms like AWS, GCP, or Azure
• Familiarity with Docker and Kubernetes
• Basic understanding of Infrastructure as Code tools (Terraform is a plus)
• Knowledge of Git and version control systems
• Basic scripting knowledge (Bash/Python preferred)

Good to Have:

• Exposure to CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD)
• Understanding of monitoring tools (Grafana, Prometheus) 
• Understanding of monitoring tools (Grafana, Prometheus) 

You can contact me on this WhatsApp number: Nine three one six one two zero one three two

Location: Chennai (Hybrid)

Commitment: Minimum 2 Years (Excluding 3 months of Probation)

Experience Level: Fresher / Entry Level

Job Overview:

We are looking for a skilled and versatile System Administrator with strong expertise in Windows and Linux environments, along with working knowledge of cloud infrastructure, cybersecurity, automation, and AI/ML systems.

The ideal candidate should be capable of handling enterprise IT infrastructure, supporting multi-cloud environments, and contributing to AI/ML deployment and integration activities. Strong communication skills and the ability to collaborate with technical and client-facing teams are essential.

Key Responsibilities:

• Manage and maintain Windows and Linux server environments ensuring stability, performance, and security.
• Support deployment, configuration, and administration of IT infrastructure components across on-prem and cloud environments.
• Monitor system health, troubleshoot issues, and ensure high availability of services.
• Work with cloud platforms such as AWS, Microsoft Azure, and Google Cloud.
• Assist in implementation of security solutions including IAM, firewalls, endpoint protection, and SIEM tools.
• Develop and maintain automation scripts using Python, PowerShell, or JavaScript.
• Support deployment and integration of AI/ML models into production environments.
• Collaborate with engineering and development teams to optimize infrastructure and application performance.
• Participate in technical discussions, documentation, and client support activities when required.

Required Skills & Qualifications:

• Strong knowledge of Windows and Linux system administration.
• Good understanding of networking, servers, and cloud fundamentals.
• Experience or exposure to AWS, Azure, or GCP.
• Proficiency in scripting languages such as Python, PowerShell, or JavaScript.
• Basic understanding of cybersecurity principles and system hardening.
• Familiarity with AI/ML concepts and deployment workflows is an advantage.
• Strong analytical and troubleshooting skills.
• Excellent verbal and written communication skills.

Preferred Qualifications:

• Experience with virtualization and containerization (VMware, Docker, Kubernetes).
• Knowledge of CI/CD pipelines and DevOps practices.
• Exposure to MLOps concepts and model deployment workflows.
• Understanding of monitoring tools and logging systems.
• Experience working in hybrid or enterprise IT environments.

What We Offer:

• Exposure to enterprise-level infrastructure and cloud environments.
• Opportunity to work on real-world AI/ML integration projects.
• Structured career growth into Cloud, DevOps, Security, or AI/ML engineering roles.
• Collaborative work environment with hands-on learning opportunities.
• Competitive compensation and long-term growth path.

Who Should Apply:

• Freshers or candidates with up to 2 years of experience.
• Candidates passionate about system administration, cloud computing, and AI/ML.
• Individuals eager to work in infrastructure-heavy, production environments.
• Strong communicators who can work in team-oriented and client-facing roles.

IT Operations Engineer - Arcitech AI

Full-time

Navi Mumbai, Maharashtra, India

Position: IT Operations Engineer

Location: Vashi

Employment Type: Full-time

About the Role :

We are seeking an experienced and versatile IT & Desktop Engineer with 3–5 years of hands-on experience

in IT infrastructure support, server management, desktop troubleshooting, and cloud technologies

(AWS/Azure). This role includes system administration, network support, desktop management, and security

operations. The ideal candidate should be capable of handling end-user support as well as backend IT

operations, ensuring smooth functioning of servers, networks, and endpoint devices.

Key Responsibilities

• Manage and maintain servers including installation, configuration, patching, and performance

monitoring.

• Perform routine server administration tasks such as backups, security updates, IAM and logs.

• Manage Active Directory, Group Policies, and access permissions.

• Troubleshoot system and application issues across Windows/Linux.

• Ensure uptime, availability, and reliability of IT infrastructure.

• Support IT security operations including antivirus, firewalls, and vulnerability fixes.

• Maintain IT documentation, SOPs, and configuration records.

• Provide L1/L2 end-user support for desktops, laptops, printers, and other endpoint devices.

• Install, upgrade, and troubleshoot Windows/Mac/Linux OS on client systems.

• Diagnose and resolve hardware, software, and peripheral issues.

• Configure and manage endpoint security tools and policies.

• Manage CCTV configuration, monitoring, and backup processes.

• Perform LAN/WAN troubleshooting including switches, routers, Wi-Fi, and cabling.

• Handle network troubleshooting (DNS, DHCP, IP conflicts, connectivity issues).

• Set up new user profiles, email accounts, and access privileges.

• Support remote users using VPN and remote access tools.

• Oversee identity and access lifecycle (SSO, MFA setups).

• Configure network devices and enforce basic network security standards.

• Monitor security alerts & escalate incidents when necessary.

• Assist in implementing security policies, compliance controls & patching plans.

• Support cloud resources setup, IAM access, and monitoring.

• Monitor systems through tools like Grafana, CloudWatch, Zabbix, or similar.

• Manage license renewals & vendor coordination.

• Support biometric devices & access control systems.

• Assist HR/Operations during onboarding/offboarding processes.

• Collaborate with cross-functional teams to improve IT workflows.

• Participate in IT audits and compliance reviews.

• Conduct periodic infrastructure health checks.

• Identify automation opportunities in IT operations.

• Support procurement decisions for IT equipment & services.

• Perform root-cause analysis for major incidents.

Technical Skills Required

• Windows & Linux server management

• LAN/WAN troubleshooting & network diagnostics

• CCTV configuration and backup management

• Endpoint device configuration & management

• Asset management

• Networking knowledge: DNS, DHCP, TCP/IP, Routing, Switching

• Backup tools & disaster recovery

• IT ticketing systems & ITIL processes

• Security tools: antivirus, EDR, endpoint protection

• Basic cloud concepts (AWS/Azure)

Industry

• IT Services and IT Consulting

Employment Type

Full-time

Lead and scale engineering team (hiring, mentoring, performance)

Own end-to-end delivery (sprints, timelines, execution)

Drive system architecture (full-stack: frontend + backend)

Collaborate with Product & Design teams

Ensure code quality, CI/CD, and production stability

Manage stakeholders and balance tech vs business priorities

Work on AI/LLM-based product enhancements

Implement engineering best practices & processes

Role: Core infrastructure for two global applications.

Key responsibilities:

Heavy Data Lifting: Designing and maintaining complex MongoDB aggregation pipelines and executing high-volume bulk updates.

Systems Connectivity: Managing the lifecycle of Bridges, WebSockets, and REST APIs for global traffic.

Global Reliability: Troubleshooting performance regressions, managing SSL/TLS certificates, and optimizing AWS S3/EC2 resources.

Core Logic: Implementing server-side push notifications, custom payment flows, and background Cron orchestration.

Requirements (Must Have)

Production Experience: Proven experience managing backend services for live, high-traffic applications. (Must have)

Note: Learning projects, bootcamps, and online courses will not be considered.

Python Mastery: Expert-level proficiency in backend Python development. (Must have)

MongoDB Expertise: Deep knowledge of Aggregations and Bulk operations. (Must have)

AWS Proficiency: Direct experience with S3 and EC2 in a production setting. (Must have)

Infrastructure Logic: Ability to manage SSL/Encryption and optimize resource allocation (Cron vs. API). (Must have)

You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

🔑 Core Responsibilities

• Troubleshoot Windows OS & Microsoft 365 (Outlook, Teams, OneDrive)
• Manage user accounts & access (Active Directory)
• Handle L1 support issues (hardware, software, network basics)
• Track incidents in ServiceNow/Jira and meet SLAs
• Support user onboarding/offboarding

🧠 Key Skillsets (Must-Have)

• 2–3 years IT Support / Helpdesk experience
• Strong in Windows 10/11 & Office 365
• Basic AWS exposure (mandatory)
• Knowledge of Active Directory & networking (DNS, VPN, Wi-Fi)
• Experience with ticketing tools (ServiceNow/Jira)
• Basic Linux/Unix knowledge
• Good communication & problem-solving skills

🚀 Hiring: MERN Stack Developer

⭐ Experience: 3+ Years

📍 Location: Mumbai ( Andheri East)

⭐ Work Mode:- 5 Days Work From Office

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

💡 Interview Mode - Walkin Interview

We are looking for a MERN Stack Developer skilled in MongoDB, Express.js, React.js, and Node.js to build scalable, high-performing web applications.

💫 What We’re Looking For:

✅ Proficiency in React.js, Node.js, Express.js, MongoDB

✅Strong in JavaScript (ES6+), REST APIs, Git

✅Good problem-solving & debugging skills

We are hiring an L1 IT Support Engineer with 2–3 years of experience in desktop/helpdesk support to provide first-level technical assistance across end-user systems, cloud, and enterprise IT environments.

Key Responsibilities

• Troubleshoot Windows OS and Office 365 issues (Outlook, Teams, OneDrive)
• Manage Active Directory tasks: password resets, access/user management
• Install/configure laptops, desktops, printers, and software
• Perform basic network troubleshooting (Wi-Fi, VPN, DNS, DHCP)
• Support AWS CloudWatch alerts and basic Linux troubleshooting
• Handle patching, RCA, documentation, and SOP updates
• Manage tickets in ServiceNow/Jira and meet SLA timelines
• Support onboarding/offboarding and escalate complex issues to L2

Required Skills

• 2–3 years in IT Support / Helpdesk / Desktop Support
• Strong in Windows 10/11, Office 365, Active Directory
• Basic exposure to AWS / CloudWatch and Linux/Unix
• Familiarity with ServiceNow/Jira, ITIL/SLA processes
• Knowledge of SIP/VoIP basics is a plus
• Strong communication and troubleshooting skills

Role: Senior Software Developer (Full Stack) - Python 

Location: Coimbatore 

YOE: 6+ years 

Mandatory Skills: Python, AWS 

Good to have: React, SQL, React Native, Knowledge in Flutter/Android Native Benefits: Learn more about our perks below 

Compensation: Competitive compensation as per industry standards. 

About the Role: 

We aspire to build high-quality, innovative & robust software. If you are a hands-on platform builder with significant experience in developing scalable data platforms, look no further. Click on Apply and we will reach out to you soon. 

Responsibilities: 

● Determines operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions. 

● Documents and demonstrates solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code. 

● Prepares and installs solutions by determining and designing system specifications, standards, and programming. 

● Improves operations by conducting systems analysis; recommending changes in policies and procedures. 

● Obtains and licenses software by obtaining required information from vendors; recommending purchases; testing and approving products. 

● Updates job knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment 

● Participate in educational opportunities & read professional publications;

● Protects operations by keeping information confidential. 

● Provides information by collecting, analyzing, and summarizing development and service issues. 

● Accomplishes engineering and organization mission by completing related results as needed. 

● Develops software solutions by studying information needs; conferring with users; studying systems flow, data usage, and work processes; investigating problem areas; following the software development lifecycle.

Requirements: 

● Proven work experience as a Full Stack Engineer or Senior Software Developer

● Strong experience designing and developing scalable and interactive applications

● Hands-on expertise in React or similar UI technologies for frontend development and Python or other modern backend languages 

● Experience in mobile app development (e.g., React Native, Flutter, or Native Android/iOS) 

● Deep understanding of relational databases (e.g., PostgreSQL/MySQL) with strong proficiency in SQL 

● Experience with ORM frameworks (e.g., TypeORM, SQLAlchemy or similar)

● Familiarity with NoSQL databases (e.g., MongoDB) and caching systems like Redis is a plus 

● Test-driven development and automated testing experience is a plus ● Proficiency with modern software engineering tools, Git-based workflows, and CI/CD pipelines 

● Strong ownership mindset with ability to lead teams, mentor developers, and drive end-to-end delivery 

● Excellent communication and collaboration skills with cross-functional stakeholders

● Working knowledge of AWS or other cloud platforms is an added advantage 

Albert's mission is to Digitalize the World of Chemistry, using data and machine learning to drastically accelerate the invention of new materials. We are building a world-class engineering organization to power this vision. If you are passionate about building platforms from the ground up, growing high-impact engineering teams, and shaping the technical foundation of a rapidly maturing SaaS product, we want you on our team

About the Role

We are seeking a Head of Backend Platform Engineering to consolidate and grow a newly unified platform organization — bringing together our Backend Platform Services, Data, and Search teams into a cohesive, high-functioning engineering group. This is a formative leadership role: the org exists, the talent is here, but the shared identity, operating model, and strategic direction need to be built.

You will define what this platform org becomes — setting strategy, establishing engineering standards, creating the conditions for strong technical execution, and growing the people and teams in your charge. You will be a credible technical partner to your engineers, capable of shaping architecture decisions and rolling up your sleeves when it matters, while primarily leading through others.

A key dimension of this role is your partnership with Enterprise Engineering — the team responsible for customer integrations, migrations, and connections. As Albert matures, the boundary between bespoke customer solutions and core product capabilities is an active frontier. You will work closely with Enterprise Engineering to pull proven patterns and emerging integration needs into the platform, ensuring that what gets built for one customer becomes repeatable infrastructure for all.

This is not a steady-state management role. It requires someone who can build organizational clarity out of ambiguity, earn technical credibility with senior engineers, and execute at the intersection of platform strategy and day-to-day delivery

Responsibilities:

Platform Organization Building

• Unite the Backend Platform Services, Data, and Search teams under a shared operating model with clear ownership boundaries, team identities, and collaboration norms.
• Establish the platform org's mission, roadmap, and success metrics — defining what “platform health” means at Albert and making it visible across engineering.
• Build a culture of technical rigor, psychological safety, and continuous improvement across your teams.
• Grow your teams: hire strong engineers and managers, develop existing talent, and build a leadership pipeline below you.
• Own resourcing, capacity planning, and prioritization across the platform organization.

Technical Leadership & Architectural Direction

• Serve as a credible technical voice for the platform — capable of engaging deeply on architecture trade-offs, reviewing designs, and guiding engineers toward sound decisions.
• Set architectural guardrails and standards that enable secure, scalable, resilient, and event-driven systems across product and platform teams.
• Guide the platform’s evolution across cloud infrastructure (AWS), shared backend services, data pipelines, search capabilities, and asynchronous processing patterns.
• Identify and eliminate architectural inconsistencies, duplication, and toil across the platform surface area.
• Get hands-on when needed — in design reviews, incident response, or critical technical decisions — without becoming a bottleneck.

Enterprise Engineering Partnership

• Build a close working relationship with the Head of Enterprise Engineering to ensure that customer integration patterns, migration workflows, and connection frameworks feed back into the platform as first-class capabilities.
• Define the process by which bespoke customer solutions get evaluated and productized — distinguishing one-off implementations from patterns worth standardizing.
• Align platform roadmap investments with the integration and deployment needs surfaced by Enterprise Engineering and Solutions teams.
• Ensure the platform provides the primitives — APIs, connectors, data ingress/egress, event systems — that Enterprise Engineering needs to move fast with enterprise customers.

Platform Strategy & Cloud Architecture

• Own and evolve the long-term platform strategy, with AWS as the primary environment.
• Drive the transition from bespoke implementations to repeatable, productized platform capabilities that scale across Albert’s enterprise customer base.
• Ensure platform investments directly support business priorities and customer outcomes, in close partnership with Product and Engineering leadership.
• Guide platform decisions with a pragmatic view of cost efficiency, build vs. buy trade-offs, and long-term maintainability.

Engineering Management & Delivery Excellence

• Lead multiple platform teams through senior managers and technical leads, establishing clear delivery plans, milestones, and accountability.
• Ensure large, cross-team initiatives are delivered on time, with high quality, and with transparent communication of progress, risks, and trade-offs.
• Balance short-term delivery needs with long-term platform health and technical sustainability.

Developer Experience & Operational Enablement

• Set direction for developer experience, DevOps, and internal platform tooling that accelerates product teams while reducing operational friction.
• Ensure best practices for infrastructure as code, CI/CD, observability, and cloud cost management are consistently applied.
• Embed operational excellence into platform design, including availability targets, incident management, and performance monitoring.

Security & Compliance

• Partner with Security and Compliance leadership to ensure security and privacy requirements are designed into the platform by default.
• Oversee platform alignment with SOC 2 requirements as a live obligation, and GDPR as a data handling standard.
• Drive consistent implementation of security architectures, policies, and controls across teams.

Requirements:

• Demonstrated track record of building and scaling platform or infrastructure engineering organizations — ideally from an early or fragmented state — including hiring, developing managers, and establishing operating models.
• Proven ability to lead multi-team engineering orgs through senior managers or technical leads, with a bias toward distributed ownership over centralized control.
• Strong architectural command of cloud-native, distributed, and event-driven systems, with hands-on AWS depth. You can review a design, identify the flaw, and articulate a better path — not just approve what’s put in front of you.
• Experience operating in SaaS environments with enterprise customers, including exposure to the integration, deployment, and extensibility challenges they introduce.
• Track record of translating ambiguous technical or business challenges into clear platform strategy and executable plans.
• Demonstrated ability to build credibility with senior technical individual contributors — engineers respect your judgment, not just your title.

Good to Have:

• Experience working closely with a customer-facing or enterprise integration engineering team, and systematically converting customer-specific solutions into platform capabilities.
• Background in chemistry, materials science, life sciences, or scientific computing — or demonstrated curiosity about domain-specific platform requirements in technical industries.
• Exposure to multi-cloud environments (Azure, GCP) in contexts where it was a real architectural requirement, not incidental.
• Experience with GxP, ISO 27001, or other regulated-industry compliance frameworks beyond SOC 2.
• Familiarity with audit-ready system design and working with compliance or security teams to build scalable controls

About Albert Invent

Albert Invent is a cutting-edge AI-driven software company headquartered in Oakland, California, on a mission to empower scientists and innovators in chemistry and materials science to invent the future faster. Every day, scientists in 30+ countries use Albert to accelerate R&D with AI trained like a chemist, bringing better products to market, faster.

Why Join Albert

Invent As Head of Backend Platform Engineering, you will shape the foundation that powers Albert's future — not inherit a finished org, but build one. You will have the scope to define how platform engineering works at Albert: how teams collaborate, how architecture decisions get made, how the platform grows from a collection of services into a coherent, productized capability. This is a rare opportunity to have genuine organizational and technical impact at a company where the platform is still being invented.

Your Mission: The Role

solving for better.

You are a reliability-owning, hands-on solver. Not just a "break-fix engineer."

As a DRI (directly responsible individual) for our clients' most critical systems, you’ll be the go-to expert within the squad that ensures their environments are secure, reliable, and optimized 24/7. You will deliver measurable impact – improved uptime, faster response times, and real cost savings. Not just closed tickets. Not just alerts. Real outcomes you engineer yourself.

You will lead the charge on technical execution, from complex troubleshooting and root cause analysis to engineering proactive, automated solutions. This role is about building the future of reliable cloud operations and shipping it into today's production environments.

Your Responsibilities

what you will wake up to solve.

This isn’t a “manage tickets” role. You are the architect, the executioner and the DRI for our Cloud Managed Services GTM, deploying solutions that turn operational noise into hardened outcomes. Here’s how you’ll make your mark:

• Own Service Reliability: You will be the go-to technical expert for 24/7 cloud operations and incident management. You'll ensure strict adherence to SLOs by getting your hands dirty, leading high-stakes troubleshooting to deliver a superior client experience.
• Engineer the Blueprint: You'll translate client needs into scalable, automated, and secure cloud architectures. You will write and maintain the operational playbooks and Infrastructure as Code (IaC) that your squad uses every day.
• Automate with Intelligence: You'll lead the charge from the keyboard to futurify our operations. You'll embed AI-driven automation, predictive monitoring, and AIOps into core processes to eliminate toil and preempt incidents.
• Drive FinOps & Impact: You'll own the technical execution of the FinOps framework. You will continuously analyze, configure, and optimize cloud spend for clients through hands-on engineering.
• Be the Expert in the Room: You'll share your knowledge through internal demos, documentation, and technical deep dives, representing the deep expertise that turns operational complexity into business resilience.
• Mentor & Elevate: You will be a technical mentor for your peers. Through code reviews and collaborative problem-solving, you'll help build a high-performing squad that lives the “Always Hardened” mindset.

Experience & Relevance

We are looking for future technology leaders, not just coders. We value raw intelligence, analytical rigor, and an obsessive passion for technology over any prior experience.

• Cloud Operations Pedigree: 3+ years of experience in AWS cloud infrastructure, with a significant portion in a cloud managed services.
• Commercial Acumen: Proven track record of building and scaling a net-new managed services business.
• Client-Facing Tech Acumen: 2+ years of experience in a client-facing technical role, acting as the trusted advisor for cloud operations, security, and reliability.

Functional Skills:

• Service Delivery Mindset: A deep understanding of MSP business models, SLAs, and the importance of client satisfaction in an operational context.
• Client Engagement: Ability to ask appropriate questions to get to the heart of an operational issue and win trust with stakeholders.
• Cross-Functional Catalyst: Thrive in multi-disciplinary teams, bringing together operations, security, and development teams.
• Repository builder: Creates reusable frameworks, IaC modules, and operational playbooks for scale.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.