Top AWS Jobs in Pune

Build and maintain data pipelines, warehouses and lakes; design processing and analysis algorithms; ensure data accuracy, security and performance; collaborate with data scientists to deploy ML models; lead or support team members and embed risk controls and performance engineering throughout the SDLC.

Develop end-to-end generative AI solutions using LLMs, NLP, computer vision, audio, and multimodal technologies. Research emerging AI methods, build supporting libraries and frameworks, implement cloud-based applications, and contribute throughout the software development lifecycle. Responsibilities include prompt engineering, model fine-tuning, vector database integration, code reviews, testing, deployment, maintenance, and cross-functional collaboration.

Own end-to-end technical delivery for complex retail technology and RPA projects. Review Python and .NET code, assess cloud architectures, build and troubleshoot CI/CD pipelines, validate deployment strategies, and resolve technical blockers. Produce solution designs, technical documentation, risk assessments, and estimates while applying DevSecOps, observability, AI tooling, and retail systems knowledge. Coordinate project logistics, stakeholder communication, ROI tracking, UAT, and stabilization without primary responsibility for staffing or administrative project management.

Develop and maintain cloud automation solutions across AWS and Azure using Python, PowerShell, Bash, and JavaScript. Build Infrastructure-as-Code, CI/CD pipelines, serverless services, container automation, governance guardrails, and AI-enabled CloudOps workflows. Support provisioning, scaling, patching, backup, disaster recovery, and decommissioning while ensuring reliability, security, observability, and operational readiness. Collaborate with architecture, security, platform, and operations teams in an Agile environment, providing technical leadership and reusable documentation.

Lead engineering teams at Barclays, providing technical direction, mentorship, delivery oversight, and stakeholder collaboration. Drive infrastructure and deployment pipeline evolution, scalable and secure software delivery, reliability, resilience, automation, and SDLC optimization. Oversee resources, budgets, risks, processes, and technical standards while supporting innovation and business alignment. The role requires expertise across mobile, web, cloud, containerization, distributed systems, event-driven architectures, and AI-native platforms.

Designs, develops, tests, debugs, and maintains high-performance C++ applications and software components. Responsibilities include implementing scalable solutions, optimizing memory and performance, conducting code reviews and testing, troubleshooting defects, documenting systems, and collaborating with architects, QA, DevOps, and product teams. The role also participates in Agile ceremonies and may involve distributed systems, network programming, databases, cloud platforms, embedded systems, and real-time applications.

Own product security for Honeywell’s Forge SaaS platform, supporting threat modeling, risk assessments, penetration-test analysis, vulnerability management, secure configuration, and security tooling. Define and track remediation requirements, embed security in Agile development planning, ensure audit and compliance adherence, advise teams on cloud and product security, and coach Security Champions and Product Security Engineers.

Administer and support large, cloud-hosted databases across AWS, OCI, Azure, and virtual machines. Responsibilities include database operations, backups, performance tuning, patching, monitoring, user and storage management, data loading, documentation, architecture planning, and project support. The role collaborates with development and infrastructure teams, supports customers, and participates in a 24x7 on-call rotation, including after-hours and weekend coverage.

Own product security for Honeywell’s Forge SaaS platform, integrating threat modeling, risk assessment, vulnerability management, secure configuration, and security tools throughout the SDLC. Partner with development teams during Agile planning, ensure audit and compliance adherence, advise on cloud and container security, manage remediation requirements, present status to leadership, and mentor Security Champions and Product Security Engineers.

Lead enterprise data and AI architecture for global clients, defining cloud-native target architectures, modernization roadmaps, governance frameworks, and GenAI solutions across AWS, Azure, and GCP. Advise executives, guide global engineering teams, oversee technical governance, support proposals and thought leadership, and build reusable architecture assets and centers of excellence.

Develop and maintain applications using .NET, C#, ASP.NET, SQL Server, and cloud platforms such as Azure, AWS, or GCP. Responsibilities include writing optimized queries and stored procedures, designing relational databases, deploying cloud applications, debugging, using Git, and collaborating in Agile teams. Preferred experience includes Docker, CI/CD, Kubernetes, microservices, REST APIs, and front-end technologies such as JavaScript, React, or Angular.

Design and ship production-grade agentic AI systems, including tool-using agents, multi-agent workflows, RAG, context engineering, evaluation frameworks, observability, safety controls, and backend integrations. Partner with product and domain experts to turn ambiguous problems into reliable AI experiences. Own experimentation, regression testing, cost and latency monitoring, failure handling, governance, and safe deployment of AI capabilities.

Own and operate the AI security runtime control plane across Azure, AWS, and GCP. Build inline AI enforcement, tune prompt-injection, data protection, tool-call, and agent access policies, and integrate security platforms with SIEM/SOC workflows. Lead L3 investigations, automated containment, cloud and Kubernetes security, DevSecOps controls, vendor evaluations, and closed-loop red-team remediation. The role requires automation, infrastructure-as-code security, multi-cloud identity management, incident response, and collaboration with technical leadership.

Lead the design, development, and optimization of ServiceNow solutions across TSM, CMDB, and ITSM. Configure service catalogs, workflows, scripts, reporting, dashboards, and Performance Analytics. Implement ITOM, ITAM, SecOps, and IRM-GRC modules; manage cloud integrations across AWS, Azure, and GCP; maintain CMDB data models and governance; configure Discovery and Service Mapping; and develop REST and SOAP integrations.

Performs advanced cybersecurity work across vulnerability management, cloud security, infrastructure, containers, Kubernetes, application security, and endpoint detection. Reviews security findings, prioritizes remediation, manages EDR/XDR platforms, supports threat hunting and incident triage, and coordinates remediation with technical teams and leadership. Maintains security metrics and dashboards, automates reporting and workflows, and contributes to AI security initiatives, forensic analysis, and secure development practices.

Lead development of scalable AI platform software, including cloud-native distributed systems, production APIs, microservices, Kubernetes infrastructure, and generative AI capabilities. Collaborate cross-functionally, conduct code reviews, enforce secure coding and testing practices, guide technical delivery, coach team members, manage risks and controls, and influence technology strategy across the organization.

Design, develop, and operate scalable cloud-native systems using Go, concurrency, distributed systems, REST APIs, microservices, SQL, AWS, Docker, and Kubernetes. Lead releases, CI/CD, testing, troubleshooting, observability, and production improvements. Use and govern AI-assisted development tools, review AI-generated outputs, mentor engineers, improve team workflows, and collaborate with Product, QA, DevOps, and operational stakeholders.

Design, develop, deploy, and maintain scalable enterprise applications using C# and .NET technologies. Own application modules across the development lifecycle, contribute to architecture, troubleshoot complex issues, optimize performance, conduct code reviews, and maintain automated testing and CI/CD pipelines. Collaborate with product, QA, UI/UX, and DevOps teams, document technical solutions, mentor junior developers, and integrate cloud, AI, and automation services into enterprise applications.

Leads technical delivery for AI workstreams across regulated client engagements, balancing hands-on engineering with oversight of three to five engineers. Designs and reviews LLM systems, retrieval and agent architectures, extraction pipelines, evaluation gates, security controls, and offline deployments. Mentors engineers, manages design and code reviews, communicates delivery risk to leadership and clients, and builds reusable Center of Excellence assets. Requires production LLM experience, deep Python and system design expertise, cloud depth, evaluation rigor, and technical leadership.

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.

Designs, develops, and improves secure, scalable software and infrastructure platforms. Leads the evolution of deployment pipelines, cloud infrastructure, CI/CD processes, and GitOps-based delivery. Collaborates with product managers and engineers, conducts code reviews, applies testing and secure coding practices, and promotes operational excellence. The role also involves automation, infrastructure as code, monitoring, risk management, stakeholder communication, and potentially guiding team members.

Provides operational assurance and performance management across enterprise ITSM practices, including change, incident, request, problem, service level, and availability management. Reviews compliance and control effectiveness, analyzes trends, supports audits and major incidents, facilitates governance forums, and coordinates remediation and process improvements. Builds ServiceNow and Power BI dashboards, scripts, automations, and AI-enabled workflows while advising technology and operational teams on ITIL-based practices and service reliability.

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.

Senior customer-facing technology advisor responsible for guiding Indian enterprises and multinational GCCs on AI infrastructure, data center modernization, hybrid cloud, networking, cybersecurity, and regulatory-aware architecture. Builds executive relationships, leads strategy workshops and proofs of concept, shapes multi-OEM pursuits and RFPs, develops ROI and TCO cases, supports delivery transitions, partners with global teams, and strengthens WWT’s technical brand and consulting bench in India.

Designs and executes software testing strategies, automated scripts, test plans, and manual test cases. Performs defect analysis, collaborates with developers and cross-functional teams, contributes to code reviews and acceptance criteria, and improves testing processes. The role requires Python-based BDD automation, GitLab pipelines, cloud platform knowledge, source control, and comprehensive QA lifecycle expertise. Preferred experience includes Azure certification, Terraform, and UI/API test automation.