Top AWS Jobs in Pune

Ensure reliability and performance of the platform and data ecosystem by troubleshooting production issues, monitoring data pipelines, standardizing operational tools, automating operations, participating in incident management and RCA, and collaborating with engineering, analytics, product, and customer-facing teams.

Create and maintain high-quality user documentation (online help, integration guides, API docs, tutorials, release notes). Collaborate with product, engineering, and QA; mentor junior writers; ensure accuracy, clarity, and adherence to style and industry standards.

The Senior Manager will oversee IT infrastructure and the DevOps team, focusing on information security, compliance, and automation of software deployment processes.

The Software Engineering Manager will lead an engineering team, providing technical guidance and mentoring while managing projects, improving processes, and supporting cross-functional collaboration.

Leads the architecture, development, deployment, and operation of scalable AI infrastructure, distributed systems, real-time data platforms, microservices, and agentic AI solutions. Defines technical vision, builds resilient and observable production services, processes high-volume network data, mentors engineers, and drives engineering excellence across intelligent networking and automation platforms.

Develop and maintain enterprise-scale responsive web applications using React and related frontend technologies. Build reusable UI components, integrate REST and GraphQL APIs, optimize performance, ensure accessibility and cross-browser compatibility, and write tested, documented code. Collaborate with product, UX/UI, backend, DevOps, and QA teams throughout the software development lifecycle. Participate in design discussions, code reviews, sprint planning, and resolve bugs and usability issues.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Design, develop, test, and maintain scalable production services, web applications, APIs, data pipelines, and distributed systems. Troubleshoot complex production issues, conduct code reviews, improve CI/CD and operational processes, mentor junior engineers, and collaborate with cross-functional teams to deliver high-quality, cloud-native software solutions.

Leads the Solutions Architecture function across direct sales, cloud, partner, and solution-provider channels. Hires, coaches, and develops SAs; owns technical coverage, deal velocity, PoC win rates, technical qualification, escalations, playbooks, and pre-sale to post-sale handoffs. Partners with Sales, Partnerships, Engineering, Product, TAM, and Customer Engineering while contributing to strategic evaluations and team-wide ARR bookings.

Own the React Native application end to end, including architecture, performance, releases, app-store presence, and roadmap. Lead and mentor two mobile engineers, establish technical direction, and collaborate on engineering and product strategy. Deliver polished iOS and Android experiences, run experiments, measure growth and retention impact, and iterate rapidly. The role may help expand the mobile team as the app grows.

Design and maintain enterprise IT and data architecture focused on data governance, MDM, metadata/catalog, and data quality. Lead technical design, implement MDM and metadata solutions, enable AI-driven automation, collaborate with stakeholders, mentor architects, and recommend technologies to improve data discoverability, reliability, and business value.

Design, deploy, and manage AWS and Azure cloud infrastructure, implement CI/CD automation, monitor and optimize performance and costs, enforce security and governance, build serverless solutions, troubleshoot cross-team issues, and maintain documentation and best practices.

Build and deploy full-stack AI applications integrating LLMs, RAG architectures, vector databases, and multi-agent systems. Develop Python backends, APIs, ingestion pipelines, responsive interfaces, and real-time dashboards. Design and optimize PostgreSQL databases, containerize applications with Docker and Kubernetes, manage AWS and GPU infrastructure, and operate Linux environments. Mentor developers, conduct demonstrations, evaluate emerging AI technologies, and improve reliability through testing, debugging, performance tuning, and quality processes.

Leads the architecture and delivery of production-grade agentic and generative AI systems, including LLM agents, RAG pipelines, multi-agent workflows, and scalable cloud applications. Guides technical architecture, production engineering, LLMOps, evaluation, observability, security, and responsible AI practices. Mentors AI/ML and backend engineers, conducts design and code reviews, and collaborates with product, data, platform, security, compliance, and executive stakeholders.

Designs and implements computer vision and machine learning algorithms for aquaculture applications. Responsibilities include developing prototypes, conducting experiments, building data-processing and training pipelines, maintaining model testing and statistical verification, extending AI codebases, documenting research, leading long-term research, recruiting talent, and tracking AI developments. The role may also involve production deployment, inference optimization, MLOps, cloud platforms, and occasional visits to aquaculture sites.

The Software Engineer will design and improve software solutions, ensure code quality, collaborate with teams, and lead projects aligned with business objectives.

The Java Developer will design and develop software solutions, ensure code quality, collaborate with teams, and implement secure coding practices while leading complex projects.

Develop, test, and maintain Python-based software and data pipelines; design scalable applications; collaborate on feature delivery; participate in code reviews; integrate, debug, and prioritize features to support machine learning and backend systems.

Leads end-to-end cloud and platform engineering consulting engagements, owning scope, governance, delivery quality, client relationships, and executive outcomes. Manages a 2–3 person engineering pod through staffing, coaching, and performance development. Oversees multi-cloud discovery across AWS, Azure, and GCP, develops prioritized recommendations and roadmaps, applies AI-driven solutions, and evolves repeatable Rapid Solutions playbooks, templates, and delivery standards.

Lead end-to-end cloud and platform engineering consulting engagements, owning scope, governance, client relationships, delivery quality, and executive outcomes. Manage and coach a 2–3 person engineering pod, oversee staffing and utilization, conduct multi-cloud technical discovery, and develop prioritized recommendations and roadmaps. Evolve Rapid Solutions offerings, playbooks, templates, and delivery standards while applying AI-driven solutions to improve efficiency and insight.

Administer and support enterprise IBM/Software AG WebMethods environments across development, test, and production. Responsibilities include platform configuration, monitoring, performance tuning, security, access management, networking, incident resolution, upgrades, migrations, disaster recovery, documentation, governance, and infrastructure modernization. The role serves as Level 3 support, leads critical troubleshooting and migration efforts, and mentors junior administrators.

Provides customer-facing technical support by owning tickets from intake through resolution, meeting SLAs, troubleshooting data quality and integration issues, documenting solutions, and coordinating escalations. The role also contributes to knowledge management, pipeline monitoring, dashboards, AI agents, and workflow automation. Success requires accuracy, customer empathy, strong communication, systematic problem-solving, and the ability to manage multiple priorities in a remote, fast-paced SaaS environment.

Lead architecture and evolution of a scalable, real-time collaboration platform. Design and deliver event-driven microservices (Java/Node, Spring), leverage AWS, Kafka, Redis, and WebSockets for low-latency, highly available systems. Own end-to-end platform capabilities, drive cross-team initiatives, mentor engineers, manage production incidents, and improve observability and operational excellence.

Design, implement, and deploy production machine learning models in a Python-based cloud architecture; build APIs and data-facing capabilities; deliver high-quality, testable code (CI/CD); visualize and publish insights; work in an agile team and manage stakeholder expectations while promoting data-driven culture.

Lead full lifecycle design, implementation, and optimization of 4G/5G mobile solutions. Act as primary technical lead for engagements, perform advanced troubleshooting and lab simulations, produce HLD/LLD and implementation plans, and collaborate with cross-functional teams to drive customer outcomes and adoption. Mentor engineers and leverage automation, cloud-native tooling, and AI/ML to improve delivery.