Top AWS Jobs in Pune

Leads an India-based machine learning infrastructure engineering team, overseeing hiring, mentoring, technical direction, roadmap planning, and delivery. Owns cloud-native ML serving, CI/CD, model deployment, GPU orchestration, observability, reliability, and platform capabilities across AWS. Partners with ML scientists, data engineers, backend teams, product managers, and US leadership to productionize models and support scalable, low-latency systems. Participates in system design, incident response, on-call operations, post-mortems, and full software development lifecycle activities.

The Full Stack Developer will design and develop SaaS applications focusing on scheduling, build front-end interfaces, back-end APIs, manage deployments, and collaborate with teams for feature definition.

Develop and maintain end-to-end web applications using modern JavaScript and TypeScript frameworks, Node.js, APIs, databases, and cloud platforms. Design responsive interfaces, implement secure authentication, write documentation and automated tests, debug performance and reliability issues, and follow Agile development practices. Collaborate with designers, product managers, testers, and other stakeholders to translate requirements into technical solutions. Mentor junior developers, recommend innovative improvements, and continuously optimize application code.

Build and operate production Kubernetes and AWS infrastructure across environments and customer deployments. Own CI/CD pipelines, automated provisioning, deployments, rollbacks, observability, reliability, scalability, and security. Debug issues involving Kubernetes, networking, databases, and applications, while developing internal tooling to improve engineering productivity. Partner with engineering, customer infrastructure, and security teams on enterprise deployments.

Build and deploy production AI systems across LLM orchestration, retrieval, agents, evaluations, voice, APIs, backend services, and infrastructure. Design reliable LLM pipelines, evaluation suites, data flows, and real-time multimodal experiences. Experiment with emerging models, debug issues across the stack, and communicate technical decisions clearly while owning projects from exploration through production iteration.

Design, build, and operate Supabase’s global edge and networking infrastructure, including routing, load balancing, DNS, WAF, TLS termination, CDN integrations, and observability. Improve latency, reliability, security, and cost efficiency across cloud regions. The role includes developing automated routing systems and CI/CD, troubleshooting distributed systems, participating in on-call and incident response, and collaborating with infrastructure and product teams.

Develop and maintain network inventory, monitoring, and topology features for the Skylar One platform. Troubleshoot Python and MySQL performance issues, implement backend features in Python, PHP, and MySQL, write unit tests, and support scalable multithreaded or multiprocess services. Collaborate with Product Management and engineering teammates while applying networking fundamentals, automation practices, software development lifecycle standards, and high-availability architecture principles.

Architects and implements scalable generative and agentic AI solutions for enterprise workloads. Translates client requirements into technical designs, selects architectures and technologies, establishes scalability and reliability guidelines, reviews system designs, conducts proofs of concept, and writes production-ready Python code. Builds RAG and fine-tuned LLM systems, APIs, and cloud deployments on Azure or AWS while collaborating with product and engineering teams.

Lead operational ownership of the enterprise Azure Central Kubernetes (AKS) platform, ensuring availability, security, scalability, and lifecycle management. Manage a global Kubernetes platform engineering team, drive automation, GitOps, IaC, incident and capacity management, security/compliance, cost optimization, and executive reporting. Partner with stakeholders and vendors to increase platform adoption, reliability, and operational maturity.

Lead major incident response and set technical direction for site reliability engineering across NVIDIA’s enterprise platforms. Design and operate distributed, Kubernetes-based cloud infrastructure; build automation, observability, self-healing systems, and AI-assisted incident tooling. Drive root cause analysis, SLOs, error budgets, and systemic reliability improvements. Partner with Cloud, Platform, Security, and AI/ML teams, mentor engineers, influence architecture, and communicate with executives during critical incidents.

Leads the Search Infrastructure engineering function, overseeing scalable, resilient, distributed cloud services and microservices. Responsibilities include setting technical strategy, driving business outcomes, improving engineering efficiency and reliability, collaborating with architects and product managers, and hiring, mentoring, and managing geographically distributed engineering teams. The role requires strong Java, AWS, distributed systems, cloud-scale application, and search infrastructure expertise.

Provide customer-facing technology consulting, solution architecture, presales support, migration and delivery strategies for Cisco data center and cloud solutions. Design and optimize Nexus, VXLAN, ACI, virtualization, container, network security, and hybrid or multi-cloud environments. Create technical documentation and intellectual property, identify growth opportunities, resolve complex customer problems, and lead automation initiatives. Mentor consulting engineers, advise customers and partners, and collaborate across Cisco teams to deliver business outcomes.

Designs, governs, and delivers enterprise infrastructure across operating systems, databases, storage, virtualization, middleware, and cloud platforms. Responsibilities include capacity planning, performance optimization, automation, incident management, security, disaster recovery, cloud migration, infrastructure modernization, and technical governance. The role coordinates with application, operations, cloud, and service provider teams; develops reporting dashboards; ensures regulatory and control compliance; and provides technical leadership and stakeholder guidance.

Build and deploy scalable cloud data interoperability services connecting Autodesk products with third-party applications. Responsibilities include designing modular components, processing large datasets, developing testable software, monitoring performance and availability, documenting APIs and SDKs, and collaborating with internal and external teams. The role requires C# and .NET 8 development, AWS cloud experience, API development, concurrency, containers, CI/CD, and Linux and Windows environments.

Support enterprise customers deploying NVIDIA AI Enterprise across cloud and datacenter environments. Troubleshoot complex software issues, reproduce failures, collect diagnostics, and partner with engineering on fixes. Build Python automation, diagnostics, test harnesses, Kubernetes deployment assets, patches, documentation, and runbooks. Work with Linux, containers, GPUs, AI frameworks, inference services, distributed systems, and cloud platforms. Own customer escalations through resolution and participate in a monthly weekend Sev1 on-call rotation.

The GCP Product Manager will guide product development, align strategies with business goals, ensure compliance with regulations, and leverage analytics for decision-making.

Designs and implements multi-cloud data architecture solutions across AWS, Azure, and GCP. Responsibilities include data modeling, ETL/ELT pipelines, data warehousing, analytics platforms, governance, security, compliance, solution proposals, architecture diagrams, and cost models. The architect participates in hands-on development, pre-sales and RFP responses, client engagement, mentoring junior architects, master data management, SaaS tools, and AI integration.

Design, develop, and optimize secure, scalable cloud data platforms and ETL/ELT pipelines across AWS, Azure, and GCP. Write Python and SQL, implement data governance and quality controls, optimize performance and costs, and support analytics and BI layers. Contribute to architecture, pre-sales demos, proofs of concept, and client discussions. Mentor junior developers, conduct code reviews, and collaborate with architects, QA, DevOps, and business stakeholders.

Designs and develops scalable cloud data platforms and ETL/ELT pipelines using Python and SQL. Optimizes performance and costs, implements governance, security, quality, and compliance controls, and supports analytics consumption. Collaborates with architects and stakeholders, contributes to pre-sales prototypes and demos, mentors junior developers, conducts code reviews, and recommends improvements across AWS, Azure, and GCP environments.

Designs and implements multi-cloud data architecture solutions across AWS, Azure, and GCP. Responsibilities include data modeling, ETL/ELT pipelines, data warehousing, analytics platforms, governance, security, compliance, cost modeling, architecture proposals, and client presentations. The architect must remain hands-on with Python, SaaS data tools, MDM platforms, and agentic AI; support pre-sales and RFP responses; mentor junior architects; and integrate AI/ML into data architectures.

Own the end-to-end real-time voice and data platforms, including AI agents for live calls, telephony and streaming integrations, call-data pipelines, analytics, dashboards, monitoring, and cloud infrastructure. Build AI workflows, product interfaces, and business automations; optimize latency, cost, reliability, and performance; respond to production issues; and mentor teammates while collaborating with product and domain experts.

Build and own AI-powered full-stack product experiences and infrastructure using React, React Native, and Node.js. Develop tool-using agents, RAG systems, automations, integrations, human-review workflows, and evaluation platforms. Design scalable APIs, queues, data models, and monitoring systems; test, deploy, optimize, and maintain reliability. Collaborate with product and trades experts, mentor teammates, and improve UX and performance across the platform.

Provide in-house support and development for Siemens Teamcenter PLM in a regulated medical device environment: resolve Tier 1-3 incidents, develop custom ITK/BMIDE/Active Workspace solutions, manage server administration and migrations, author controlled validation and technical documentation, support CSV activities and audits, manage change control, and deliver end-user training and helpdesk support.

Own ambiguous product problems end to end, from defining user flows and API contracts through frontend implementation, backend collaboration, testing, and production delivery. Review Haskell and React code, maintain performance, accessibility, SEO, and product quality standards, and use AI tools for prototyping, implementation, refactoring, debugging, and technical exploration. Work across product, UX, frontend, backend architecture, and AWS infrastructure in a remote-first environment.

Build and maintain end-to-end applications using Python and React, including backend APIs, data layers, responsive user interfaces, integrations, background jobs, and microservices. Design secure, scalable software, implement unit testing and CI/CD pipelines, deploy to AWS or Azure, support production reliability, participate in code reviews, collaborate cross-functionally, and contribute to technical excellence, risk management, and governance.