Top AWS Jobs in Pune

Designs and develops cloud-based data engineering solutions on GCP. Responsibilities include building data pipelines and warehouse solutions using Python, SQL, BigQuery, Dataform, Cloud Composer, Pub/Sub, and related GCP services. The role also involves applying data modeling, CI/CD, Git workflows, problem-solving, requirements gathering, client interaction, and potentially technical team management.

Build and scale Supabase Storage across client libraries, CLI, CDN, storage servers, and deployment infrastructure. Responsibilities include improving upload and download performance, asset optimization, edge networking, caching, observability, reliability, APIs, developer tools, and the storage explorer. The role also involves PostgreSQL and distributed-systems performance tuning, infrastructure operations, escalated support resolution, and end-to-end project ownership in an asynchronous, remote, open-source environment.

Design, develop, and maintain AI agents and AI-native software applications. Collaborate directly with company co-founders to build customer-focused solutions in a rapidly changing startup environment. The six-month, full-time internship emphasizes full-stack engineering, cloud technologies, fast learning, and practical problem-solving, with potential conversion to a full-time role based on performance.

Design, deploy, and automate scalable hybrid cloud infrastructure across AWS and Azure using IaC (Terraform/CloudFormation/ARM/Bicep). Build CI/CD pipelines, implement observability (Prometheus, Grafana, Datadog, CloudWatch, Splunk), lead incident response and RCA, define SLIs/SLOs, enforce DevSecOps practices, manage access (IAM/Azure AD/RBAC), and collaborate with engineering teams to optimize reliability and performance.

Perform penetration tests and SAST/DAST on web, mobile, and network systems; scope and report findings; integrate security into CI/CD and SDLC; collaborate with teams to remediate vulnerabilities and deliver secure coding training.

Build and operate production-grade AI applications, agents, data products, pipelines, APIs, and intelligent workflows. Responsibilities include agent orchestration, retrieval, model integration, cloud and platform engineering, CI/CD, security, observability, evaluation, and production validation. The role requires developing scalable enterprise AI systems using Python and SQL, integrating models and business systems, and assessing data, retrieval, model, and agent quality.

Designs and leads scalable AI platform infrastructure, agent frameworks, orchestration layers, backend services, APIs, and cloud deployments. Optimizes LLMs and fine-tunes small language models using techniques such as quantization, distillation, RAG, caching, and prompt optimization. Implements MCP integrations, supports enterprise multi-agent workflows, evaluates emerging AI tools, partners with stakeholders, mentors engineers, and establishes engineering standards.

Develop and operate cloud software and applications using Site Reliability Engineering practices. Responsibilities include designing operational dashboards, automating runbooks, managing CI/CD tools, monitoring metrics, improving infrastructure and applications, documenting incidents, testing designs, and supporting developers and customers. The role also provides technical guidance, maintains software infrastructure with Kubernetes and Terraform, and works with AWS or Azure cloud services.

Develops and operates reliable cloud software and applications through automation, CI/CD, infrastructure management, monitoring, dashboards, runbooks, incident response, and operational improvements. The role partners with developers and customers, tests deployments, manages Kubernetes and Terraform infrastructure, improves security and performance, and provides technical guidance. It is a hybrid position based in Pune, India.

Supports development and maintenance of core AI infrastructure, including AI agents, LLM and prompt optimization, backend services, APIs, cloud deployments, and MCP integrations. Writes tested Python code, troubleshoots infrastructure, participates in code reviews and sprint planning, and documents technical processes. Requires Python, AI agent, LLM, backend, AWS, and MCP knowledge, plus a bachelor's degree and at least three years of experience.

Develop and maintain scalable full-stack web applications using Python and modern frontend frameworks. Design RESTful APIs, manage SQL and NoSQL databases, collaborate on feature delivery, and ensure application performance, security, and scalability. Debug production issues, follow clean coding practices, and contribute to system design, microservices architecture, CI/CD, and DevOps practices.

Leads 3–4 cross-functional engineering squads delivering scalable distributed systems. Oversees architecture, Java and cloud-based development, technical quality, DevOps, CI/CD, performance, security, and technical escalations. Partners with architects, product leaders, and stakeholders on roadmap delivery, capacity planning, and hiring. Coaches engineering staff, manages performance, drives career development, and promotes GenAI-enabled systems, agentic workflows, and AI-assisted software development practices.

Build and maintain healthcare data extraction, transformation, validation, and ingestion pipelines from ambulatory EHR/EMR systems. Translate CMS MIPS and value-based care specifications into SQL logic, interpret HL7 and other clinical standards, validate measure data, and produce audit-ready regulatory submissions. The role also requires data quality, lineage, governance, orchestration, cloud data engineering, and collaboration with EMR vendors and MIPS advisors.

Designs, automates, deploys, and integrates cloud networking and network security solutions across AWS, Azure, and GCP. Optimizes on-premises networks for cloud adoption, leads technical designs and client workshops, resolves escalated incidents, produces assessment and architecture deliverables, manages project communications, and mentors junior team members. The role also requires consulting leadership, technical expertise, client engagement, and continuous certification development.

Design and scale cloud and Kubernetes infrastructure, distributed systems, CI/CD, observability, and deployment tooling. Build production-grade AI agents for infrastructure and engineering workflows, including tool use, evaluation, permissions, guardrails, and failure handling. Improve reliability, performance, and cloud efficiency; troubleshoot across application and infrastructure layers; mentor engineers; document architecture; and participate in on-call operations.

Leads quality engineering strategy and architecture for Commerce and Payments products. Owns quality roadmaps, release readiness, quality gates, CI/CD integration, test automation, performance and security testing, observability, and AI-enabled testing initiatives. Partners with Engineering, Product, DevOps, and Security leaders; reports quality metrics to executives; and mentors SDET managers and leads while driving reliability across microservices, distributed systems, mobile platforms, and high-transaction SaaS products.

Design, develop, test, and maintain production software for semiconductor test systems. Integrate AI and LLM capabilities into Java- and C++-based platforms, develop Python and Shell automation tools, define system interfaces, and evaluate integrations for performance, reliability, security, and maintainability. Collaborate with architects and AI specialists, apply engineering best practices, lead integration projects, and provide technical guidance in Linux environments.

Maintain Unix/Linux systems, build and manage CI/CD pipelines, administer artifact repositories, develop automation scripts, and support cloud and containerized environments using platforms such as AWS, Azure, Google Cloud, Docker, and Kubernetes. The role also requires familiarity with RabbitMQ and Kafka.

Leads a 7–10 person software engineering team building scalable, low-latency flight-content systems. Owns architecture, technical decisions, delivery, code quality, testing, monitoring, technical debt, and SDLC improvements. Mentors engineers, serves as scrum master, resolves ambiguity, promotes secure coding and responsible AI adoption, and collaborates with engineering leadership to translate business objectives into technical work. Provides second-level production on-call support.

Build and maintain cloud data architectures, pipelines, warehouses, and lakes that securely process large-scale data. Develop data-processing and analysis algorithms, support container platforms, and collaborate with data scientists to deploy machine-learning models. The role requires AWS, Databricks, distributed computing, Hadoop, SQL, shell scripting, and Python expertise. Responsibilities also include operational excellence, risk and controls, stakeholder collaboration, problem-solving, and potentially leading and developing team members.

Monitor and triage SIEM alerts, manage vulnerability remediation, support endpoint, email, and network security tools, and conduct threat hunting and incident response. Support SOC 2 and NIST CSF compliance through assessments, evidence collection, control testing, policy maintenance, and risk tracking. Collaborate with technical and business stakeholders, improve security practices, prepare management reports, and communicate security risks and corrective actions.

Design and implement the core front-end web application including onboarding, authentication, and quote/bind/pay flows with complex dynamic forms. Build reusable UI libraries and components, drive UI/UX best practices, introduce AI-assisted tooling, perform code reviews, improve system quality and scalability, and collaborate cross-functionally across the stack.

Leads the design, development, deployment, and production support of complex software systems. Makes system-level architecture decisions, ensures scalability, reliability, security, observability, and compliance, and uses AI-assisted tools responsibly. Mentors engineers, conducts design and code reviews, resolves technical blockers, improves engineering practices, and collaborates with product, architecture, security, cloud operations, and quality teams. The role requires hands-on programming, distributed-systems expertise, automated testing, CI/CD, operational readiness, and production troubleshooting.

Build and enhance backend services and applications for Galaxy’s internal Finance One platform using Go and relational databases. Partner with Finance and Accounting stakeholders, maintain system reliability and data accuracy, support production users, investigate issues end to end, and contribute to technical designs, code reviews, testing, deployment, and engineering standards. The role also involves developing finance-related data solutions and supporting new Finance Engineering initiatives.

Develop, enhance, and maintain Tungsten platform features, modules, and integrations. Translate business requirements into scalable technical solutions, write maintainable full-stack code, troubleshoot complex issues, and ensure stability through testing and automation. Optimize performance, security, and user experience while collaborating with product owners in Agile environments. The role also involves enterprise SaaS, workflow, rules engine, document processing, cloud, API, and third-party system integration work.