Top AWS Jobs in Pune

Develop secure, scalable full-stack applications using Java, Spring, REST APIs, frontend frameworks, cloud platforms, microservices, and databases. Collaborate with product owners and technical teams on architecture, Agile planning, coding, testing, deployment, and support. Work with Databricks, Spark, ETL pipelines, AI/ML services, containerization, CI/CD, and modern development tools while contributing to application design and user experience.

Lead architecture and technical strategy for an enterprise generative AI platform supporting agentic systems, tool calling, multi-agent orchestration, memory, retrieval, inference, LLMOps, observability, security, and responsible AI. Define reusable standards, evaluate models and platforms, guide architecture decisions, collaborate with engineering, product, security, and data teams, mentor technical leaders, and build prototypes for high-scale, reliable production systems.

Own and scale GitLab’s partner-sourced business in India across hyperscalers, system integrators, cloud-native companies, and AI partners. The role manages strategic partner relationships, AWS/GCP Marketplace motions, joint business plans, pipeline generation, bookings, and revenue quota. It collaborates with India and APJ sales and ecosystem teams, supports enablement and go-to-market programs, and helps shape the India partner coverage model.

Lead the design and implementation of scalable software systems across Built In’s product lines. Drive technical features, improvements, AI-enabled capabilities, and end-to-end software development on public cloud platforms. Analyze system-level issues, implement solutions, collaborate across product and technology teams, and mentor engineers while promoting agile development, observability, continuous delivery, and engineering excellence.

Leads client-facing technology consulting engagements for manufacturing and industrial operations. Responsibilities include OT and industrial data strategy, solution architecture, SDLC delivery, Unified Namespace and data-layer design, client relationship management, account expansion, cross-functional team leadership, validation, change management, and ROI delivery. The role requires deep expertise in plant-floor systems, industrial connectivity, cloud, data engineering, and life-sciences or pharmaceutical manufacturing.

Leads the architecture, delivery, and evolution of scalable AI platforms and GenAI services. Manages and mentors engineering teams, oversees backend development using Python frameworks, guides LLM integrations and agentic workflows, establishes engineering standards, and owns technical delivery across multiple services. Partners with Product, AI/ML, DevOps, Data Engineering, and Consulting teams while ensuring production reliability, observability, security, and long-term platform sustainability.

Develop and maintain scalable full-stack enterprise applications using Java, Spring, React or Angular, microservices, and cloud-native AWS technologies. Responsibilities include requirements gathering, architecture and design, coding, testing, monitoring, performance engineering, compliance, and production support. The role also involves database development, CI/CD, DevOps, containerization, data engineering, and integration of AI/ML services. Candidates collaborate with business partners and technical teams while mentoring developers and ensuring secure, resilient, high-quality delivery.

Provide frontline technical support for LogicMonitor users by managing incoming chat and ticket cases through resolution within SLAs. Troubleshoot SaaS IT infrastructure management issues across Linux, Windows, networks, containers, and cloud platforms. Educate customers, advocate for their needs, collaborate with product, development, and customer success teams on escalations, and contribute to product enhancements and bug resolution.

Serve as the senior technical advisor for strategic enterprise accounts, designing observability architectures across multi-cloud, hybrid, edge, and AI environments. Lead cloud migration observability, agentic AI monitoring, network pathing analysis, API integrations, automation, executive architecture reviews, workshops, and technical escalations. Partner with Sales, Customer Success, Product, Engineering, and AI teams to influence roadmaps and deliver scalable customer solutions.

Lead Java backend modernization and Kubernetes migration initiatives. Design and develop resilient microservices, REST APIs, integrations, and deployment strategies. Provide technical leadership, conduct design and code reviews, oversee CI/CD and containerized deployments, coordinate regional releases, optimize performance, manage observability, and troubleshoot production issues while ensuring secure coding, testing, and engineering standards.

Lead development of high-performance Java backend services for Mastercard’s fraud decision-management platform. Responsibilities include system design, production development, code and security reviews, CI/CD and cloud-native delivery, production support, SDLC documentation, vendor and offshore coordination, technical training, mentoring, and Agile SAFe participation. The role also drives engineering standards, technology evaluations, performance benchmarking, deployment planning, and secure coding practices.

Designs, develops, and delivers secure, high-availability software services for Mastercard’s small-business products. The role owns complex cross-service problems, writes and reviews production code, drives automation and CI/CD, improves architecture and operational reliability, supports incident learning, and guides technical decisions. It also includes mentoring engineers, conducting technical interviews, partnering cross-functionally, and contributing to roadmaps, testing, security scanning, and performance optimization.

Leads enterprise-scale software engineering initiatives, architecture strategy, cloud-native modernization, and AI-assisted development. Designs scalable APIs, microservices, distributed and event-driven systems; drives security, reliability, testing, observability, and DevSecOps practices. Partners with cross-functional stakeholders, evaluates emerging technologies, resolves complex production issues, and mentors engineers. Requires strong Java and Spring Boot expertise, cloud experience, software architecture knowledge, and leadership across multiple engineering teams and programs.

Build and manage Fastly’s partner-first go-to-market engine across India and South Asia. Recruit and activate VARs, distributors, system integrators, MSSPs, MSPs, telcos, and technology partners; generate net-new pipeline through joint prospecting; execute business plans; coordinate partner and direct sales teams; accelerate enterprise deals; enable partner sellers; and own forecasting, registrations, CRM integrity, and partner-sourced revenue.

Lead and deliver full-stack .NET web projects, write and maintain code (.NET Core, C#), integrate cloud and web technologies, drive technical decisions, ensure unit testing and CI, collaborate with stakeholders and overseas teams.

Maintain and scale LogicMonitor’s sales demo environments for proofs of concept, webinars, trials, and customer demonstrations. Support infrastructure configuration, deployment pipelines, GitOps updates, monitoring, alerting, security, access management, vulnerability remediation, incident response, performance optimization, and resource planning. Collaborate with Product, Development, Sales, and Solutions Engineering teams, while documenting procedures, creating runbooks, and improving automation and operational reliability.

Leads cloud security architecture, threat analysis, incident response, vulnerability management, and remediation across AWS, Azure, Google Cloud, and Kubernetes environments. The role develops automated security frameworks using Terraform and CI/CD, supports PCI-compliant infrastructure, improves security telemetry, drives cross-functional security initiatives, and mentors junior engineers. It also requires secure cloud design, compliance knowledge, stakeholder collaboration, and oversight of approved AI tools and data governance.

Lead delivery and operations of multi-cloud Kubernetes platforms, primarily on AWS. Own Terraform, Helm, Ansible, CI/CD pipelines, secrets, observability, cost management, security, disaster recovery, and production incident resolution. Design and maintain clusters, databases, caches, storage, networking, and host infrastructure. Establish reusable engineering patterns, review high-risk infrastructure changes, onboard AI services, and mentor engineers.

Leads the technical vision, architecture, and engineering delivery of enterprise Commercial AI and agentic AI solutions. Designs RAG and orchestration architectures, builds production-grade LLM applications, establishes LLMOps/MLOps practices, implements evaluation and observability frameworks, and ensures governance, security, privacy, and regulatory compliance. Partners with commercial, product, security, and architecture stakeholders to define AI roadmaps, while mentoring engineers and data scientists and developing reusable SDKs, frameworks, and deployment patterns.

Designs and develops data engineering solutions supporting trading and brokerage applications. Responsibilities include building data warehouses, data marts, ETL/ELT pipelines, schemas, and cloud-based data architectures; optimizing SQL; developing Python components; supporting Snowflake or Databricks platforms; orchestrating batch workflows; and contributing to platform transformation. The role provides technical leadership, consulting, code quality oversight, and cross-functional delivery within an Agile environment.

Lead the design, implementation, automation, governance, security, networking, observability, and operational support of enterprise cloud foundations across Azure and AWS. Build reusable Terraform infrastructure modules, CI/CD pipelines, landing zones, connectivity architectures, monitoring, and cost controls. Partner with application, DevOps, security, and operations teams to enable self-service cloud adoption, ensure compliance, document standards, and mentor engineers.

Designs and develops backend and frontend web or cloud applications for energy technology products. Responsibilities include requirements capture, architecture and technical design, coding, unit testing, deployment, code-quality automation, estimation, and Agile delivery. The role provides technical guidance to a small development team and collaborates with architects, data scientists, product managers, and business stakeholders. Required expertise includes TypeScript, Node.js, cloud platforms, microservices, databases, messaging protocols, secure coding, scalability, reliability, and software architecture.

Leads network security operations and engineering teams, overseeing incident management, production reliability, change governance, risk controls, automation, and operational improvements. The role provides technical mentorship, manages delivery timelines and resources, supports regulated controls, and serves as a senior escalation point. Responsibilities include troubleshooting firewalls, NAC, IDS, proxy, and DNS technologies; improving observability and SLOs; automating operational tasks with Python or Ansible; and supporting hybrid cloud networking across AWS and Azure.

Designs and maintains scalable UI, API, integration, and end-to-end automation using Playwright and TypeScript. Integrates testing into CI/CD, improves reliability, analyzes failures, and develops reusable automation frameworks. Applies Agentic AI and LLM technologies to test generation, evaluation, self-healing automation, regression selection, and quality analysis. Partners with engineering and product teams, contributes to architecture and code reviews, mentors engineers, and establishes quality metrics and testing strategies.

Develop and maintain scalable software features using C# and .NET, collaborate with product management and QA, troubleshoot customer issues, improve existing code, write unit tests, document solutions, and contribute within an Agile Scrum environment.