Top AWS Jobs in Pune

Designs, develops, and improves secure, scalable enterprise software and infrastructure. The role involves full-stack development, APIs, microservices, cloud platforms, CI/CD, DevOps, automated testing, data engineering, and platform reliability. The engineer collaborates with product and engineering teams, leads complex assignments, mentors colleagues, manages risk and controls, and drives technical excellence across the organization.

Hands-on individual contributor who designs, implements, and automates enterprise observability across Dynatrace, SCOM, and ServiceNow ITOM. Improve alert quality, event correlation, onboarding, dashboards, and integrations using scripting and CI/CD. Partner with application, infrastructure, and operations teams to reduce noise, accelerate incident response, and increase monitoring coverage and automation.

Leads functional, performance, automation, integration, regression, and end-to-end testing for data transformation and analytics platforms. Designs and maintains Java-based automation solutions, develops test strategies, investigates root causes, validates requirements, and drives quality improvements across distributed systems and microservices. Collaborates with Engineering, Product, Project Management, and Operations teams while supporting continuous improvement, CI/CD integration, and scalable testing practices.

Lead implementation and operations of enterprise observability and AIOps platforms (Elastic stack preferred). Onboard infrastructure, cloud, and applications; build dashboards, alerts, ingestion pipelines; support incident investigation, automation, IaC, upgrades, and runbook documentation to improve reliability and operational readiness.

Develop and execute functional, performance, automation, integration, regression, and end-to-end testing for large-scale data platforms and distributed systems. Build and maintain Java-based automated test solutions, define test strategies, investigate root causes, report results, and ensure quality standards. Collaborate with Product, Project Management, Engineering, and Operations teams while driving testing best practices, process improvements, continuous improvement, and quality control.

Lead customer-facing consulting engagements for data center and networking solutions across strategy, architecture, design, implementation, optimization, and problem resolution. Translate business requirements into scalable Cisco architectures, advise customers and account teams, resolve complex technical escalations, develop delivery frameworks, and mentor engineers. The role focuses on Cisco Nexus, VXLAN, ACI, networking protocols, data center integrations, automation, virtualization, containers, and multi-cloud connectivity.

Develop and maintain Windchill PLM software using Java, J2EE, web technologies, and REST APIs. Design, implement, test, document, optimize, and deploy applications to cloud infrastructure. Collaborate with product managers, UX, QA, and cross-functional teams, participate in Agile ceremonies, review technical solutions, guide colleagues, troubleshoot customer issues, and support release deliverables. Familiarity with databases, cloud platforms, PTC products, and MLOps technologies is beneficial.

Lead the design, implementation, testing, maintenance, and documentation of secure web applications for Autodesk’s Factory Design solutions. Develop frontend and backend features using modern web technologies, event-driven architecture, databases, CI/CD tools, and AWS services. Use AI-assisted development tools, troubleshoot web applications, facilitate agile ceremonies, collaborate cross-functionally, and mentor junior engineers.

Lead engineering teams to deliver high-quality software by providing technical guidance, mentoring, overseeing delivery timelines, improving processes and tooling, enforcing standards, and collaborating with product and stakeholders. Drive DevOps/CICD, cloud, containerization, IaC, code quality and automation practices within the Mortgages digital domain.

Designs, implements, supports, upgrades, and optimizes middleware and systems infrastructure using IBM DataPower or IBM MQ. Responsibilities include high-availability configuration, virtualization, storage, data protection, automation, patching, disaster recovery planning, vulnerability remediation, monitoring, capacity reporting, and systems management. The role also mentors technical staff, manages multiple projects, and supports 24/7 rotational operations.

Design, build, and optimize scalable Neo4j graph database infrastructures supporting knowledge graphs and AI-driven applications. Develop and tune Cypher queries, model complex datasets, manage indexing and performance, and administer backups, recovery, clustering, and scaling. Collaborate with data science and AI teams on graph-based applications, ensure data integrity and security, automate database operations, troubleshoot bottlenecks, and document schemas and procedures.

Manage information security, privacy, compliance, customer security requests, and third-party risk for a cloud SaaS platform. Responsibilities include responding to RFPs and questionnaires, maintaining security controls and evidence, coordinating audits, managing policies, conducting vendor assessments, tracking corrective actions, and collaborating with engineering, legal, privacy, HR, and customer teams across SOC 2, ISO, HIPAA, and related frameworks.

Designs, implements, optimizes, and supports enterprise virtualization and hybrid cloud infrastructure. Leads datacenter migrations, modernization, capacity planning, deployments, upgrades, troubleshooting, automation, and performance improvement. Provides technical leadership, mentors engineering teams, manages stakeholder and vendor relationships, mitigates technical risks, develops infrastructure standards, and supports cloud adoption and platform modernization initiatives.

Design, build, and maintain scalable batch and near-real-time data pipelines and curated datasets. Enable ML-ready feature datasets, implement reliability patterns, ensure secure data handling and governance, and drive engineering best practices in collaboration with data science, platform, and BI stakeholders.

Build backend-focused services using Java and Spring Boot, while maintaining an Angular frontend. Design RESTful APIs, transition database-centric systems toward domain-driven architecture, and work with PostgreSQL, Oracle, JPA/Hibernate, and complex SQL on high-transaction platforms. Collaborate within cross-functional squads to deliver scalable, high-quality features.

Designs and leads enterprise cloud data architectures, pipelines, data lakes, warehouses, and analytics platforms. The role develops scalable processing solutions, supports machine learning deployment, and ensures data security, governance, quality, and regulatory compliance. It requires leadership of cross-functional technology initiatives, stakeholder influence, risk management, and cloud expertise across platforms such as AWS or Azure. The position is based in Pune and operates at an Assistant Vice President level.

Lead strategy and architecture for a cloud-native platform, building scalable, secure AWS and Kubernetes-based infrastructure. Drive IaC (Terraform/CDK), CI/CD/GitOps, observability, DevSecOps, cost optimization, and developer self-service while mentoring teams, enforcing standards, and improving reliability for Java-based microservices.

Leads enterprise test engineering by designing test strategies, building automation frameworks, and managing end-to-end testing across API, integration, system, UAT, and nonfunctional testing. Drives CI/CD quality gates, continuous testing, defect prevention, quality metrics, root cause analysis, and automation coverage improvements. The role leads test engineering teams, manages stakeholders, supports Agile delivery, and advances quality transformation across cloud, microservices, and distributed systems.

Develop and improve scalable, secure software solutions using Java, Spring Boot, microservices, APIs, asynchronous messaging, and distributed systems. Responsibilities include database integration, performance optimization, observability, resilience, unit testing, secure coding, code reviews, and cross-functional collaboration. The role also involves evolving infrastructure and deployment pipelines, guiding colleagues, managing risk and controls, and contributing to technology strategy. Preferred experience includes AWS, containerization, AI-assisted development, and payments processing.

Hands-on role to design, implement, and operate enterprise observability across Dynatrace, SCOM, and ServiceNow ITOM. Improve monitoring coverage, reduce alert noise, enable event correlation, automate onboarding and observability-as-code, support incident response, maintain runbooks, and partner with application, infrastructure, and operations teams to improve operational resilience.

Leads QA strategy, planning, automation, and execution for Azure Data Factory data pipelines and data lake solutions. Validates data accuracy, completeness, and integrity across source and target systems using SQL, Python, PySpark, and Azure tools. Oversees data quality metrics, defect reporting, governance compliance, and test coverage while collaborating with engineering and business teams. Mentors junior QA staff and coordinates testing across Agile sprints.

Leads QA strategy and execution for Azure Data Factory data pipelines and workflows. Designs test plans, automation, and data validation processes; verifies data accuracy across Azure SQL, Synapse, and Data Lake environments. Collaborates with engineering and business teams, monitors quality metrics, ensures governance compliance, mentors junior QA staff, and coordinates testing across Agile sprints.

Provide L2 support and advanced troubleshooting for Windows and Linux servers in a 24/7 environment. Responsibilities include incident resolution, root cause analysis, system administration, performance tuning, disk expansion, VM reconfiguration, application deployment, monitoring, backup and recovery, patch management, and automation. The role documents incidents in ServiceNow, follows ITIL processes, coordinates with L3 teams, and supports enterprise infrastructure across on-premises and cloud environments.

Provides technical leadership for cloud-native application and platform development. Designs scalable architectures, microservices, event-driven systems, and secure solutions using .NET, cloud platforms, Kubernetes, and related technologies. Leads engineering teams, technical initiatives, project delivery, DevOps adoption, automated testing, compliance, and stakeholder collaboration. Champions AI-assisted development tools and evaluates emerging technologies.

Designs, develops, and operates enterprise automation and AI-enabled solutions using ServiceNow, Power Platform, machine learning, and agentic AI. Builds workflows, portals, applications, integrations, and CSM solutions; supports platform modernization, governance, security, testing, and production stability. Provides technical leadership, troubleshooting, vendor coordination, stakeholder collaboration, and team coaching while driving adoption of emerging automation technologies.