Top AWS Jobs in Pune

Build and manage production AI agents, high-precision RAG pipelines, and LLM-powered features. Develop backend architecture using Postgres, REST APIs, asynchronous programming, queues, storage, RBAC, and encryption. Integrate foundation models, establish evaluation patterns, write automated tests, monitor system health, and collaborate with product managers on reliable, secure AI applications.

Build and maintain reliable, scalable, and secure infrastructure platforms, with a focus on network operations. Responsibilities include network troubleshooting, incident and problem management, automation with Python or Ansible, production change governance, security controls, monitoring, cloud connectivity, and operational improvement. The role also requires collaboration with architects, product managers, vendors, and engineering teams, plus technical leadership and risk management in a regulated environment.

Define backend architecture strategy, oversee scalable and secure distributed systems, establish engineering standards, lead modernization and technical debt reduction, and drive observability and operational excellence. Manage, mentor, hire, and develop backend architects and senior engineers while coordinating cross-team technical initiatives, evaluating risks and trade-offs, and resolving architectural conflicts.

Develop, test, debug, and maintain scalable full-stack applications using Java, Spring Boot, React.js, and related technologies. Collaborate with senior engineers, product managers, and cross-functional teams to deliver features, participate in code reviews and Agile ceremonies, write documentation, perform unit testing, and resolve issues. The role also involves learning cloud-native and DevOps practices, with exposure to AWS, microservices, REST APIs, and CI/CD pipelines.

Build and enhance test automation frameworks using Selenium, Cucumber BDD, Java, and Gherkin. Develop automated test suites and perform functional, regression, integration, API, and microservices testing. Collaborate with developers and product teams to define acceptance criteria, troubleshoot automation failures, resolve defects, improve test coverage and resilience, and deliver stable, high-quality releases.

Provides first-line production support for enterprise applications by monitoring Splunk and New Relic dashboards, investigating alerts, triaging incidents, managing tickets, documenting evidence, escalating issues, and supporting maintenance and deployment windows. The role requires monitoring knowledge, incident management skills, clear communication, and the ability to handle multiple production incidents. Familiarity with AWS data platforms and Python, SQL, Scala, or Shell is preferred.

Develop and deploy generative AI, LLM, conversational AI, and autonomous agent applications. Build scalable AI pipelines, fine-tune foundation and deep learning models, integrate agentic workflows, and optimize model performance for production. Collaborate with data engineers on datasets and stay current with advances in GenAI, LLMs, RAG, multimodal learning, and MLOps.

Lead design and governance of secure, scalable multi-cloud and hybrid architectures. Define reference patterns, drive cloud migrations, implement IaC and observability, ensure security/compliance and operational excellence, and guide delivery teams on resiliency, cost optimization, and CI/CD enablement.

Design and develop scalable Java backend systems using Spring Boot and microservices. Own feature delivery from design through production support, contribute to architecture and technical decisions, improve performance and reliability, and drive testing, CI/CD, automation, and DevSecOps practices. Collaborate with product, QA, DevOps, and stakeholders while mentoring junior developers and contributing to documentation and engineering standards.

Own production infrastructure for a student-recruitment platform, including resilience, backups, zero-downtime CI/CD, monitoring, incident response, security, disaster recovery, cost management, and documentation. Operate Linux infrastructure across Linode and DigitalOcean with Cloudflare, MongoDB, Docker, and Node.js applications. Establish recovery objectives, conduct restore drills, manage secrets and access controls, remediate audits, and support UK GDPR alignment. This remote role is based in India and requires independent ownership of infrastructure operations.

Design, configure, deploy, and support Saviynt EIC identity governance solutions. Responsibilities include requirements gathering, architecture, application onboarding, IAM integrations, scripting, testing, compliance implementation, production rollout, hypercare support, troubleshooting, performance tuning, and stakeholder collaboration. The role also mentors junior team members and leads small workstreams.

Develop and maintain scalable backend, frontend, or full-stack applications serving 100K+ users. The role requires strong programming, data structures, algorithms, object-oriented programming, system design, API, database, and scalable architecture skills. Candidates will build high-traffic products, ensure performance and reliability, use AI coding assistants effectively, and demonstrate strong problem-solving and ownership.

Own enterprise sales growth across India, focusing on Mumbai-based accounts. Develop strategic account plans, execute consultative MEDDPICC sales cycles, win new enterprise customers, expand existing accounts, and close complex multi-year deals. Partner with AWS, Azure, GCP, global systems integrators, pre-sales, marketing, and customer success teams. Maintain accurate forecasting and Salesforce pipeline hygiene while engaging C-suite, data, AI, and business stakeholders.

Designs and delivers end-to-end automation solutions for Lilly’s global Finance organization. Responsibilities include assessing opportunities, developing and testing software, creating architecture and test documentation, supporting UAT and integrations, troubleshooting production issues, resolving defects, and assisting with QA, audits, migrations, and risk mitigation. The role uses Python, PySpark, TypeScript, PostgreSQL, AWS, Microsoft Fabric, SAP, and other APIs, while collaborating with finance, technology, analyst, and business teams.

Designs and builds end-to-end automation solutions for Lilly’s global Finance organization. Responsibilities include solution design, programming, architecture documentation, testing, UAT support, validation, defect resolution, risk communication, QA, audits, and platform migrations. The role uses Python, PySpark, TypeScript, PostgreSQL, AWS, Microsoft Fabric, SAP, APIs, and emerging AI technologies while partnering with analysts, business teams, and technology stakeholders.

Lead technical documentation across product, engineering, and business teams. Use Gemini and NotebookLM to research, synthesize, and automate content creation. Produce accurate API documentation by interpreting code and request-response workflows, while maintaining editorial quality and documentation ownership models. Create multimedia training materials, including slides, infographics, and videos using Canva. Collaborate with global agile teams and manage documentation for software and SaaS products.

Design, build, and optimize scalable data pipelines, ETL/ELT workflows, dbt transformation projects, SQL data models, and AWS cloud data solutions. Ensure data quality, governance, security, and pipeline reliability while supporting BI initiatives. Collaborate with stakeholders, lead technical discussions, review code, mentor junior engineers, and develop reusable documentation and best practices.

Lead backend engineering for NIRA’s consumer credit platform, scaling infrastructure, expanding support for financial products, and improving credit decision systems. Collaborate with engineering teams across APAC and with product, finance, compliance, support, and analytics stakeholders. Own technical solutions end to end in an AWS-native environment while contributing to platform and product strategy.

Monitor and maintain production processing environments across Linux and Windows. Troubleshoot applications, perform first-level issue triage and escalation, execute and validate ad hoc jobs, and support Big Data platforms including Hadoop, AWS, and Greenplum. The role also automates manual processes, alerts, and efficiency improvements while collaborating with global teams in a 24/7 rotational shift environment.

Design, build, and maintain fullstack web systems with Zoom Apps integration. Implement scalable front-end and back-end components, APIs, and cloud-hosted services while optimizing performance and collaborating with product and research teams in a fast-paced health-tech startup.

Develop and maintain scalable cloud-native applications using .NET, C#, and Java or Python. Collaborate with cross-functional Agile teams, implement unit testing and TDD practices, maintain CI/CD pipelines, participate in code reviews, and use Git for version control. The role includes modernizing legacy .NET applications, designing database schemas, applying architectural patterns, and deploying solutions on Azure or Google Cloud Platform.

Lead the design and development of quantitative data engineering models, algorithms, data pipelines, and processing systems on AWS using Python. Build scalable pipelines that ingest, transform, validate, and aggregate large datasets. Develop statistical and machine learning algorithms, optimize performance, evaluate models, create visualizations, and document methodologies. Collaborate with data scientists, analysts, and business stakeholders to deliver reliable customer-facing quantitative solutions and actionable insights.

Build and productionize quantitative models and ML pipelines for equity research. Source and engineer financial features, develop predictive models, collaborate with analysts to translate methodologies, maintain data pipelines, and document model assumptions to institutional standards.

Administer and support large-scale cloud and on-premises monitoring deployments across multiple providers. Maintain performance, availability, capacity, permissions, upgrades, and audit compliance. Integrate applications and infrastructure with enterprise monitoring instrumentation, document operational processes, collaborate with technical teams, and mentor colleagues on observability practices. The role requires expertise in monitoring platforms, application performance monitoring, synthetics, end-user experience, infrastructure monitoring, distributed tracing, cloud services, scripting, SQL, and multiple operating systems.

Administers and optimizes multi-tier SAP Basis and HANA environments, including system installations, refreshes, transports, performance tuning, backups, disaster recovery, high availability, patching, upgrades, security, authorization, workload analysis, and cloud connectivity. The role requires troubleshooting enterprise infrastructure across Linux-based SAP landscapes and managing HANA replication, system parameters, audit logs, and maintenance workflows.