Top AWS Jobs in Pune

Lead development of high-performance Java backend services for Mastercard’s fraud decision-management platform. Responsibilities include system design, production development, code and security reviews, CI/CD and cloud-native delivery, production support, SDLC documentation, vendor and offshore coordination, technical training, mentoring, and Agile SAFe participation. The role also drives engineering standards, technology evaluations, performance benchmarking, deployment planning, and secure coding practices.

Leads software engineering for Mastercard’s global money transfer platform. Responsibilities include designing, coding, testing, securing, integrating, troubleshooting, and deploying services; improving CI/CD automation, architecture, reliability, and code quality; supporting agile prioritization and product acceptance; conducting postmortems and technical interviews; and mentoring engineers across globally distributed teams.

Develop and maintain Java applications on AWS, build REST and enterprise API integrations, and implement serverless workflows with Lambda and Step Functions. Configure messaging through SNS/SQS, manage DynamoDB and S3 resources, provision infrastructure using CloudFormation or CDK, and monitor systems with CloudWatch. Apply IAM security practices, troubleshoot cloud applications, collaborate with development, architecture, and client teams, and follow deployment and monitoring best practices.

Develop AI applications using Python, generative AI, LLMs, RAG, vector databases, APIs, and agentic AI frameworks. Build and integrate solutions with models including GPT, Claude, Gemini, and Llama. Use LangChain, LangGraph, Docker, cloud platforms, and modern deployment tools. The role requires strong problem-solving, API development, prompt engineering, and immediate or short-notice availability for office-based work.

Develop modern generative AI applications using LLMs, retrieval-augmented generation, vector databases, prompt engineering, and agentic AI. Build APIs and production systems with Python, FastAPI, LangChain, LangGraph, Docker, and cloud platforms. Responsibilities may include integrating major LLM providers, implementing function calling, embeddings, evaluation frameworks, guardrails, monitoring, and fine-tuning. The role is full-time, office-based, and requires immediate or short-notice availability.

Develop enterprise-grade cloud applications for IBM using Java, AWS, REST APIs, microservices, and Golang. The role requires full-stack application development expertise, cloud application experience, and at least four years of professional experience. This is a work-from-office position in Pune, with local candidates preferred.

Owns end-to-end vulnerability management across products and supporting technology, including validating findings, prioritizing risk, tracking remediation, and reporting. Partners with Engineering, Product, Infrastructure, and security tooling teams to improve vulnerability remediation, CI/CD security integration, software supply chain security, and cloud security controls. Reviews SAST, DAST, SCA, secrets scanning, penetration testing, web application, and CSPM findings while researching emerging cloud threats and systemic vulnerabilities.

Lead engineering teams developing high-quality software for Barclays’ digital mortgage ecosystem. Responsibilities include technical guidance, team allocation, delivery planning, risk management, mentoring, performance reviews, process improvement, stakeholder collaboration, requirements analysis, architecture, peer reviews, testing, and enforcing technology standards. The role requires strong object-oriented distributed-systems development, microservices, databases, DevOps automation, Agile delivery, secure development, and AI-enabled development practices.

Build and maintain scalable data architectures, pipelines, warehouses, and lakes. Develop processing and analysis algorithms, ensure data quality and security, and collaborate with data scientists to deploy machine learning models. The role also involves AWS infrastructure, Hadoop ecosystem technologies, ETL design, advanced SQL, technical leadership, risk management, stakeholder collaboration, and team supervision or technical advising.

Supports production reliability across AWS and on-premises infrastructure. Responsibilities include L2 incident management, root cause analysis, automation, monitoring, server administration, patching, backup validation, observability, alert tuning, runbook maintenance, capacity planning, and performance optimization. The role participates in 24/7 on-call rotations and contributes to reducing MTTR, improving uptime, and eliminating recurring incidents through scripting and reliability engineering.

Design, build, and maintain production-quality full-stack software, APIs, backend services, automation, cloud-native applications, integrations, and CI/CD pipelines. Develop AI-enabled solutions using LLMs, RAG, and agentic workflows. Apply strong practices in testing, observability, security, reliability, and maintainability while contributing to technical design and solving ambiguous engineering problems.

Perform exploratory data analysis, feature engineering, statistical and machine learning modeling, and build reproducible end-to-end data pipelines. Translate business questions into analytical solutions, write Python code, productionize models with engineering teams, and communicate insights to technical and non-technical stakeholders. The role also involves data quality validation, model evaluation, visualization, and collaboration on deployment, monitoring, and versioning.

Build, maintain, and scale highly available AWS and GCP infrastructure, Terraform-based automation, and CI/CD pipelines. Manage containerized production environments, networking, databases, security, observability, incident response, and disaster recovery. Improve reliability, performance, cost efficiency, and compliance with HIPAA, SOC 2, and HITRUST. Collaborate with engineering teams on automation, deployment practices, documentation, and operational excellence.

Designs and oversees enterprise hosting, networking, cloud, and hybrid solutions for existing clients. Advises on incidents, remediation, root-cause analysis, capacity, performance, risk, change management, pricing, and service optimization. Leads technical projects through completion, presents business cases, documents solution architectures, and supports complex sales opportunities. Collaborates across operations and client organizations while driving stability, innovation, and transformational initiatives. Frequent travel to company locations and client sites is expected, with approximately 25% of weeks involving travel.

Design, build, and maintain scalable data pipelines, warehouses and lakes; implement processing and analysis algorithms; support production deployments (DEV->UAT->PROD); ensure data quality, security, and governance; collaborate with data scientists to deploy ML models; lead or mentor team members and influence stakeholders to mitigate risk.

Lead enterprise solution architecture and portfolio delivery for complex banking platforms. Define target architectures, technology roadmaps, design standards, and governance while modernizing legacy deposits, pricing, interest, and accounting capabilities. Drive cloud and platform transformation on Barclays Cloud or AWS with strong resilience, security, scalability, observability, and regulatory compliance. Manage portfolio performance, budgets, risks, dependencies, documentation, governance, and change management. Engage senior stakeholders, mentor architects, and improve portfolio practices.

Leads customer-facing consulting engagements involving the strategy, design, implementation, optimization, and troubleshooting of Cisco data center and networking solutions. Translates business requirements into scalable architectures, supports pre-sales and delivery, resolves complex technical escalations, develops repeatable delivery frameworks, and mentors junior engineers. The role focuses on Cisco Nexus, VXLAN, ACI, networking protocols, data center integrations, automation, virtualization, and cloud connectivity.

Develop and maintain enterprise Java applications, RESTful APIs, and microservices. Collaborate with product, architecture, QA, and DevOps teams; conduct code reviews; troubleshoot production issues; optimize databases and application performance; support CI/CD pipelines, cloud deployments, security enhancements, monitoring, and documentation. The role also involves mentoring peers and applying scalable, secure software engineering practices.

Design, develop, test, and maintain scalable enterprise applications across the full stack. Build web applications, APIs, microservices, integrations, and cloud-native solutions using Java, modern frontend technologies, Azure or AWS, Kubernetes, and CI/CD practices. Improve software quality through testing and reviews, contribute to architecture and DevOps initiatives, and collaborate with cross-functional teams to deliver secure, reliable systems.

Lead production support and application development for enterprise systems. Troubleshoot applications, APIs, databases, integrations, infrastructure, and cloud platforms; perform root cause analysis; develop enhancements and permanent fixes; support deployments and releases; analyze logs and monitoring alerts; and collaborate with development, QA, product, support, and business teams. Maintain technical documentation and troubleshooting guides while balancing production stability with delivery.

Lead a team of software engineers to develop cloud-native solutions, manage project delivery, and collaborate with stakeholders in a full stack environment.

Design, develop, and maintain scalable, secure data architectures and pipelines. Collaborate with product, design, and data science to build data warehouses/lakes, processing algorithms, and deploy ML models. Ensure code quality via unit testing, secure coding, and participate in code reviews. Lead or advise teams, manage risk and controls, and contribute to cross-functional delivery and technical excellence.

Develop complex solutions using various technologies, manage projects through all lifecycle phases, and collaborate with teams to drive results. Emphasizes consulting mindset, client-first approach, and effective communication skills.

Maintain uptime for a SaaS observability platform by deploying production applications, securing environments, automating infrastructure and operational tasks (Python/Terraform/Kubernetes), collaborating with developers and senior engineers, producing runbooks/documentation, and developing AI-assisted automation workflows.

Leads complex AWS client deployments and product engineering initiatives. Manages operating systems, AWS services, machine images, configuration management, scalable infrastructure, high availability, automation, and technical issue resolution. Provides AWS expertise to pre-sales teams, participates in 24x7 on-call support, mentors team members, and serves as a technical escalation point. Requires extensive mission-critical infrastructure experience, AWS certifications, scripting, containerization, CI/CD, networking, and strong client communication skills.