Top AWS Jobs in Pune

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.

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.

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.

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.

Build and deploy production machine learning systems, including recommendation engines, semantic search, RAG pipelines, and LLM applications. Architect scalable APIs, workflows, background jobs, and data pipelines while optimizing reliability and performance. Collaborate with product and engineering teams, write tested modular code, conduct code reviews, and stay current with AI/ML and cloud-native technologies.

Build and improve GoGuardian’s Pear Assessment platform across the full stack. Responsibilities include developing TypeScript and Node.js backend services, React interfaces, OpenSearch semantic search, scalable data pipelines, AWS cloud-native systems, MongoDB data models, and real-time classroom integrations. The role involves optimizing performance, reliability, and analytics, integrating AI services, collaborating cross-functionally, participating in architecture and code reviews, and maintaining strong testing and engineering standards.

Build and maintain mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.

Design, build, optimize, and operate scalable, low-latency backend services for an AI risk decisioning SaaS platform. Collaborate with product, frontend, and QA teams; implement testing and CI/CD practices; monitor service health; resolve performance bottlenecks; and mentor junior engineers.

Lead architecture, scalability, performance, and technical direction for Salesforce applications and Node.js services. Manage and mentor a team of 10–15 engineers, set goals, conduct one-on-ones, hire talent, and remove blockers. Partner with Product and Engineering leadership to deliver reliable, secure, high-quality solutions while improving engineering velocity, deployment processes, developer experience, and platform performance.

Lead enterprise software development projects from initiation through delivery, managing scope, timelines, resources, risks, dependencies, and deliverables. Serve as Scrum Master, facilitate Agile ceremonies, mentor teams, and promote continuous improvement. Coordinate Engineering, QA, Product, and business stakeholders while presenting project status and roadmaps to leadership. Apply technical expertise across modern enterprise technologies and explain technical concepts clearly.

Drive LogicMonitor customer adoption, onboarding, training, troubleshooting, retention, renewals, and value realization at scale. Serve as a trusted technical advisor, manage customer cases and SLAs, identify churn risks, support escalations during incidents, conduct business reviews, and collaborate with Customer Success Managers, account owners, executives, support, and other cross-functional teams.

Lead the design, delivery, operation, and evolution of enterprise CI/CD platforms using Bitbucket, SonarQube, and Artifactory. Own reliability, monitoring, security, automation, scalable build environments, incident response, and continuous improvement. Establish engineering standards and governance, improve developer experience, guide roadmap priorities, review technical changes, mentor engineers, and drive adoption across teams. Requires extensive enterprise platform, DevOps, SRE, cloud, containerization, and automation experience.

Provides technical leadership for enterprise cloud architecture, strategy, governance, migration, modernization, operations, and security across AWS, Azure, and other environments. Designs scalable and resilient solutions, establishes architecture standards and operational models, drives infrastructure as code and DevOps automation, and guides disaster recovery, compliance, cost optimization, and continuous improvement. Collaborates with stakeholders, engineers, vendors, and security teams while mentoring others and translating business needs into technical roadmaps.