Top AWS Jobs in Pune

Provides technical leadership across teams by designing scalable, reliable distributed systems, shaping technical strategy, influencing roadmaps, and driving modernization, observability, technical-debt reduction, and reliability initiatives. Leads AI-assisted development adoption, resolves complex technical issues, establishes engineering best practices, and mentors teams. Requires extensive software engineering experience, cloud production operations, and strong computer science fundamentals, with preferred experience in .NET, Rust, C#, JavaScript, microservices, Kubernetes, infrastructure as code, authentication, CI/CD, and secure development.

Provides technical leadership for large-scale distributed systems and platform architecture across multiple teams. Defines technical strategy, drives modernization and technical debt reduction, advances reliability and observability, promotes AI-assisted engineering, and develops shared platform capabilities. The role leads cross-functional initiatives, influences stakeholders without direct authority, mentors senior engineers, and improves scalability, developer productivity, security, and operational excellence.

Lead hands-on development and modernization of Core Java and J2EE applications. Responsibilities include architecture and design, module ownership, cloud migration, SaaS enablement, performance optimization, unit testing, code reviews, security compliance, client engagement, and mentoring junior engineers. The role requires deep expertise in Java concurrency, data structures, algorithms, monolithic architectures, UML, scalable application development, and cloud deployments.

Develop, train, evaluate, and optimize ML solutions and data pipelines; translate business requirements into production-ready ML code; perform feature engineering, model selection, and evaluation; document work, participate in code reviews, and support testing and data issue resolution.

Lead AI strategy and development focused on RAG, code generation, agentic AI, LLM fine-tuning, and AI-assisted software engineering. Build scalable retrieval pipelines, AI search and chatbot tools, automated test-generation systems, and cloud-based MLOps infrastructure. Integrate AI capabilities into IDE and CI/CD workflows, optimize real-time inference, mentor 3–5 AI engineers, and establish secure, reliable, and bias-aware AI development practices.

Lead design and implementation of end-to-end network monitoring and observability for global payment infrastructure. Build real-time telemetry pipelines, define SLAs/SLOs, perform incident forensics, ensure PCI-DSS compliance, drive automation and AI/ML anomaly detection, evaluate observability tools, and mentor engineering teams.

Lead full-stack software architecture and development, with a frontend emphasis, across scalable backend services and frontend microapps. Drive technical design, reliability, DevOps, CI/CD, and cloud-native engineering; mentor engineers and collaborate across distributed teams. Build AI-powered platform features using LLMs, agents, and related frameworks. Improve React performance, service reliability, incident response, and engineering effectiveness while integrating customer-focused solutions across multiple domains.

Manage the full customer journey for a portfolio of cloud security customers. Drive adoption, customer success plans, business outcomes, renewals, and expansion while serving as a trusted advisor. Lead executive and quarterly business reviews, manage risks and escalations, communicate product updates, and collaborate with technical, sales, and cross-functional teams. The role requires cloud security and SaaS experience, knowledge of AWS, Azure, and Google Cloud, strong communication, AI proficiency, and 30% travel.

Build production-grade AI and machine learning security products using Go services and Python pipelines. Develop LLM-powered analysis, RAG, classification, structured extraction, and agentic AI capabilities; establish evaluation datasets, metrics, regression suites, and drift monitoring. Collaborate with security researchers to translate threats into actionable detections, and deploy cloud-native solutions using Docker, Kubernetes, and major cloud platforms.

Build and operate production Go backend services for AI security products. Responsibilities include API and data model design, event-driven pipelines, cloud integrations, reliability engineering, testing, observability, CI/CD, Python tooling, and multi-tenant systems. Collaborate with AI engineers and security researchers on threat models and enforcement logic, while using AI coding assistants throughout development.

Assist with DevOps operations, including Git source control, Azure ARM template scripting, Azure DevOps pipeline management, GitHub Actions implementation, and CI/CD automation using PowerShell, Python, Terraform, Ansible, Kubernetes, and cloud platforms.

Lead technical presales for enterprise AI, data analytics, and digital twin solutions in telecommunications and other industries. Build customer relationships, conduct discovery workshops, design solutions, deliver demos, lead proofs of concept, support RFPs and proposals, and guide post-sale optimization. Translate complex technical capabilities into business outcomes for technical and executive stakeholders while collaborating with sales, product, engineering, and delivery teams.

Develop and deploy scalable backend services for web applications. Responsibilities include RESTful API development and testing, database integration, asynchronous task queuing, containerization, and collaboration with the development team. The role uses Python frameworks such as FastAPI, Flask, or Django, relational databases, Docker, and potentially Kubernetes and cloud platforms.

Leads software engineering teams delivering Generative AI and data engineering solutions. Responsibilities include technical leadership, mentoring, resource and risk management, process improvement, stakeholder collaboration, engineering standards, testing, governance, and delivery oversight. The role drives scalable, secure cloud-native solutions involving LLMs, AI assistants, RAG, agentic workflows, and responsible AI while aligning technology roadmaps with business objectives.

Leads the Compliance division’s data analytics and AI strategy, overseeing data scientists, ML engineers, and analytics professionals. Develops production-grade machine learning, NLP, generative AI, predictive analytics, and risk-monitoring solutions across financial services. Establishes model risk, responsible AI, governance, and regulatory compliance frameworks while guiding cloud migration, data platforms, BI reporting, and MLOps. Partners with senior Compliance, Technology, and business stakeholders and builds a high-performing multidisciplinary team.

Designs and deploys machine learning, analytics, NLP, and generative AI solutions for banking risk and compliance. Builds data pipelines, predictive models, dashboards, and production AI applications while supporting model governance, validation, explainability, and regulatory readiness. Partners with risk, compliance, data, and technology stakeholders; mentors junior team members; and contributes to AI strategy, model monitoring, and responsible AI practices across the organization.

Designs and maintains automation for provisioning, deployment, configuration, patching, testing, and troubleshooting of distributed Hyperscale environments. Develops Python, Shell, and Ansible frameworks; manages infrastructure across bare-metal, virtualized, containerized, cloud, and on-premises platforms; and supports VMware, Hyper-V, Kubernetes, OpenShift, and PXE deployments. The role also performs root-cause analysis, validates software across platforms, improves engineering productivity, and resolves complex product and customer issues.

Leads enterprise technology capital and operating expense planning across infrastructure, cloud, applications, cybersecurity, data platforms, and technology services. Oversees budgeting, forecasting, financial modeling, investment prioritization, portfolio governance, FinOps, vendor and licensing optimization, executive reporting, and cost reduction initiatives. Partners with senior technology, finance, procurement, and business leaders to improve technology ROI, financial transparency, and strategic investment decisions.

Lead the development of a core AI-powered platform component at Autodesk, overseeing design, implementation, and collaboration with global teams. Responsible for full engineering cycle and mentoring junior members.

Manage and improve AWS cloud infrastructure, CI/CD pipelines, Docker and Kubernetes deployments, infrastructure-as-code, monitoring, security, and application reliability. The role includes Terraform or CloudFormation automation, deployment lifecycle management across multiple environments, Linux troubleshooting, incident investigation, cost optimization, DevSecOps practices, and collaboration with development, QA, and product teams.

Owns test strategy and coverage across UI, API, and service layers. Designs and maintains automation and performance testing frameworks, leads risk assessments and release validation, performs root-cause analysis, and establishes shift-left quality practices and quality gates. Partners with engineering, product, and platform teams while using AI-assisted tools to accelerate testing and debugging for SaaS and AI/ML-powered products.

Own HUD’s production infrastructure and backend platform systems, focusing on reliability, scalability, performance, cost, deployment safety, and developer experience. Build AWS infrastructure with Terraform and Kubernetes, improve CI/CD and observability, design resilient services and asynchronous systems, manage incidents, and develop internal automation and tooling. The role supports high-availability AI, marketplace, and data-heavy workloads.

Provide end-to-end technical support for Zoom’s Elite customers by diagnosing complex voice, video, and unified communications issues. Analyze logs, packet captures, and SIP traces; coordinate engineering and cross-functional war rooms; resolve escalated incidents; maintain expertise in Zoom products, integrations, and UC/CC environments; and create customer-facing technical documentation. The role includes after-hours, weekend, holiday, and on-call coverage.

Build and automate cloud cost optimization and governance across AWS and GCP. Analyze billing and usage, identify and implement savings, maintain cost attribution, create reporting and anomaly detection, and write Python, Terraform, and Lambda automation. Partner with Engineering, Finance, Product, and leadership on architecture tradeoffs, forecasting, budgeting, and cost accountability.

Design, build, and operate production LLM agents and supporting APIs using Python and Node/TypeScript. Develop tool-use loops, retrieval systems, orchestration, evaluation, and guardrails. Deploy services on AWS using Infrastructure as Code and CI/CD, while working with Databricks notebooks, Jobs, Unity Catalog, and Delta Lake. Contribute to code reviews, testing, documentation, and shared engineering standards. The role requires independently shipping production agents, RAG systems, and reliable software services.