Top AWS Jobs in Pune

Lead strategic design, architecture, and hands-on implementation of Elastic Stack and Search AI solutions for enterprise customers. Conduct workshops, gather requirements, develop proofs of concept, optimize queries and clusters, and deliver scalable search platforms. Manage project objectives, dependencies, timelines, and customer relationships. Collaborate with engineering, product, support, and sales teams, provide product feedback, assess technical risks, and mentor team members. Periodic client-site travel of up to 20% is required.

Design and implement scalable Elastic Stack observability and Search AI solutions for enterprise customers. Lead workshops, requirements gathering, architectural planning, proofs of concept, data modeling, query optimization, cluster tuning, and end-to-end project delivery. Advise customers, manage engagement timelines and dependencies, collaborate with engineering and product teams, support presales scoping, and mentor consultants. The role requires hands-on cloud, infrastructure, networking, security, containerization, automation, and programming experience, with periodic client-site travel up to 20%.

Build responsive web applications and scalable frontend/backend services, design secure APIs and databases, implement AI-powered search and asset management features, collaborate on system architecture, and optimize performance and UX for a cloud-native DAM platform.

Design, build, and operate cloud infrastructure (primarily GCP, some AWS) using Terraform IaC. Manage Kubernetes (GKE/EKS), CI/CD pipelines, automation (Ansible, SaltStack), monitoring (Datadog, Splunk), scripting (Python/Bash), and enforce cloud security and compliance while supporting production and incident response.

Lead QA efforts for web and cloud-based education products, designing and executing functional, API, ETL, automated and non-functional tests. Build automation frameworks, mentor QA team members, manage testing activities and timelines, collaborate with cross-functional teams, and report quality metrics to improve product reliability and performance.

Lead design, development, and deployment of production-grade LLM and RAG-based AI solutions. Improve retrieval performance, build automated evaluation and validation frameworks, instrument pgvector retrieval KPIs, integrate metrics into CI/CD, and mentor mid-level engineers while driving technical reviews and best practices.

Perform application and product penetration testing across embedded devices, mobile, web, and cloud (AWS/Azure); reverse engineer firmware/protocols; conduct protocol and wireless analysis; create technical reports and PoC code; mentor junior testers; drive testing process improvements and support incident/vulnerability response.

Design, build, and operate high-scale, secure cloud backend systems using AWS serverless patterns. Implement event-driven, real-time data processing and AI-enabled features (LLM integrations, RAG, vector DBs). Ensure API security, authz/authn (RBAC/ABAC), monitoring, scalability, fault tolerance, and disaster recovery while evaluating and integrating emerging technologies.

Lead enterprise architecture for Global Engineering: define target-state architectures, roadmaps, reference patterns, and governance. Drive cloud-native, API/microservice, data, platform, and AI-enabled architecture; enable delivery through standards, reusable platforms, POCs, and training while aligning security, risk, and regulatory requirements.

Lead and grow a global Developer Experience team to define and execute a GenAI-first platform strategy. Improve developer productivity via AI-assisted tooling, CI/CD, source control, artifact management, and automation. Partner with Product & Development to remove friction, measure delivery with DORA/flow metrics, mentor engineers, and deliver an internal developer platform that accelerates high-quality, predictable delivery.

Develop and deliver scalable SaaS features, focusing on backend systems. Perform code reviews, improve code quality, mentor and coach developers, prioritize work, communicate across teams, and drive development best practices and initiatives.

Design, develop, and deliver scalable full-stack software for investment banking; lead technical direction, implement secure coding and testing practices, mentor engineers, collaborate with stakeholders, and improve engineering processes and architecture.

Lead DFIR analyst to monitor and manage security controls, triage and investigate incidents, perform multi-source log and forensic analysis, prevent data exfiltration, and drive remediation to closure while coaching junior analysts and advising stakeholders.

The Senior Software Engineer I develops quality software, partners with cross-functional teams, and maintains high coding standards while focusing on software deliverables.

Own root-cause analysis and fixes for customer-reported production issues: reproduce complex bugs, implement robust code fixes, collaborate with product/QA/support, automate testing, monitor post-release behavior, maintain troubleshooting docs, mentor juniors, and improve incident processes to increase product reliability and customer satisfaction.

Design, develop, and refactor scalable, secure .NET-based cloud services on Azure/AWS. Lead code quality, performance optimization, API integration, mentoring, CI/CD improvements, and production troubleshooting while collaborating with product, QA, and architects.

Own the architecture and technical direction of large-scale distributed applications. Build secure, scalable Python backend services, contribute to Java services, guide platform strategy, mentor engineers, and establish engineering standards. Improve reliability, observability, automation, developer experience, security, testing, and operational excellence. Use AI-assisted development tools responsibly to increase productivity while maintaining software quality. Collaborate cross-functionally and lead through technical excellence, pragmatic architecture, and strong ownership.

Lead and mentor an engineering team while defining technical roadmaps, managing hiring and resource allocation, and overseeing project delivery. Build and maintain enterprise applications using Java Spring and React, guide cross-functional requirements, conduct code reviews, troubleshoot performance issues, and provide client-facing technical leadership. The role combines hands-on software engineering with people management and strategic technical oversight.

Own enterprise AI engagements from discovery through production deployment. Design, build, integrate, debug, evaluate, and harden agentic systems using LLMs, RAG, tool calling, workflows, and guardrails. Lead technical workshops, proofs of concept, solution scoping, and executive ROI discussions. Measure adoption, containment, accuracy, and cost outcomes; create reusable delivery assets; enable partners; and provide product feedback. The role is customer-embedded and requires sustained on-site presence during engagements.

Architect and operate scalable, reliable infrastructure across Kubernetes, AWS, RDS, and distributed microservices. Lead capacity planning, benchmarking, observability, alerting, SLA enforcement, security, CI/CD, and infrastructure roadmap initiatives. Apply AI and automation to improve reliability and developer productivity. Optimize databases and production systems, identify bottlenecks, mentor engineers, and translate business objectives into technical roadmaps. The role requires strong Golang, backend, SRE, distributed systems, database, and cloud expertise.

Lead a hands-on AI-first engineering pod building production software for a regulated payments platform. Design agentic orchestration pipelines integrated with Slack, Jira or Linear, Git, pull requests, and CI/CD. Ship product prototypes, improve .NET systems, establish secure engineering guardrails, and promote responsible AI-assisted development. Lead modernization of a legacy .NET Core 2.1 estate, mentor distributed engineers, grow the pod into scrum teams, and influence technical and business stakeholders with minimal direction.

Design, build, and maintain scalable production pipelines and services to process clinical-grade 30x whole genome data. Optimize performance, reliability, and cost across AWS and hybrid environments. Develop tools and services (Python, C#, SQL, AWS) for genomic analysis, collaborate with cross-functional teams, ensure testing, observability, and validated output, and support consumer-facing DNA apps and reports.

Lead data science efforts by analyzing large datasets, developing and deploying ML models, building scalable data pipelines, designing experiments (A/B testing), creating visualizations, and mentoring junior team members to drive data-driven decisions.

Design, develop, and maintain enterprise-grade ServiceNow solutions (ITSM/ITOM/IRM/GRC/CSM/etc.) in a FedRAMP environment. Build workflows, integrations (REST/SOAP/MID/Integration Hub), maintain CMDB health, lead DevOps/CI-CD and ATF, conduct code reviews, mentor juniors, manage upgrades/patches, ensure platform security/compliance, and provide on-call production support.

Lead the Monetization Infrastructure engineering team, provide hands-on technical leadership, ensure high uptime and incident management, collaborate with Finance and Product, drive operational excellence, and champion adoption of AI-assisted SDLC practices.