Top AWS Jobs in Pune

Manage AWS infrastructure across Prod/Stage/Dev, handle incident management and root cause analysis for core AWS services, ensure availability and performance, monitor health and cost, perform access management and resource optimization, support Terraform-based provisioning, automate operational tasks, and work with CI/CD pipelines while collaborating with Engineering, Security, and Data teams.

Deliver live instructor-led and virtual product training and hands-on labs for customers, partners, and employees. Create and maintain technical training materials, developer labs, scripts and demos. Mentor partner delivery teams, support certification readiness, and use learner feedback and AI tools to improve course effectiveness. Travel 25–50% for training and workshops.

Designs and implements scalable, secure Java applications for real-time decision management and fraud prevention. Develops unit, integration, functional, and automated tests; collaborates in Agile Scrum ceremonies; and applies strong software engineering practices. The role requires cloud and microservices expertise, performance optimization, observability, application security, CI/CD, and database knowledge. The engineer will mentor teammates while remaining hands-on and may work with AI models, decision-management platforms, distributed grids, and Angular.

Lead automation and platform engineering for Unix estates (RedHat, OEL, Solaris). Build and maintain Ansible playbooks, IaC pipelines, and automation frameworks; standardize builds, patching, and compliance; integrate with Git and CI/CD; drive platform modernization, performance optimization, and operational excellence while collaborating with development, security, and third parties.

Leads analysis, design, development, testing, deployment, and operation of scalable Java backend services. Designs APIs, event-driven and batch systems, and microservices using Spring Boot, Kafka, cloud, and DevOps technologies. Owns delivery estimates, architecture, quality, security, CI/CD, reliability, and customer experience. Collaborates with product and business stakeholders, mentors engineers, reviews code and automation, drives process improvements, and supports high-availability mission-critical applications.

Develop and test high-performance, real-time decision-management software supporting fraud prevention. Drive quality engineering, automated acceptance and integration testing, continuous integration, release automation, code coverage, application security, observability, reliability, and performance. Collaborate closely with developers, improve software processes, contribute hands-on code, and mentor team members. Work with Java microservices, APIs, cloud infrastructure, databases, and testing frameworks in an Agile environment.

Design and build scalable batch and near-real-time data pipelines, microservices, and distributed data-processing systems using Java, Spark, Kafka, and cloud technologies. Develop ETL/ELT solutions across data lakes and warehouses, improve performance and reliability, implement testing, CI/CD, infrastructure as code, monitoring, and observability, and support production deployments. Collaborate with technical stakeholders, troubleshoot distributed systems, create reusable components, and mentor junior engineers.

Lead design and build cloud-native batch and real-time data platforms. Develop scalable ETL/ELT and streaming pipelines (Spark, Kafka, Flink), ensure data quality, governance, observability, security, cost optimization, and drive platform engineering excellence and team mentorship.

Design and implement scalable Java application logic for Mastercard’s real-time Decision Management and fraud-prevention systems. Develop unit, integration, and functional tests; use secure development practices; collaborate within Agile Scrum teams; and manage project timelines. Work with cloud, microservices, databases, observability tools, containers, CI/CD, and source control. The role also involves troubleshooting, performance optimization, code quality, and potentially mentoring team members.

Designs, develops, tests, deploys, and operates secure, mission-critical software for Mastercard’s VCN, Spend Controls and Alerts team. Partners with product and business stakeholders to prioritize work, integrate services, improve customer journeys, manage risks, and optimize delivery and operational metrics. Responsibilities include architecture, debugging, CI/CD automation, API development, quality scanning, performance and security requirements, release testing, product demos, incident mitigation, and mentoring less-experienced engineers.

Delivers master data management and technology consulting solutions across the project lifecycle. Translates business requirements into technical designs, develops and tests MDM solutions, leads task planning and team coordination, manages project deliverables, supports client communications, and mentors junior team members. The role requires collaboration across global teams, data analysis and quality expertise, SQL, MDM platforms, cloud awareness, problem-solving, and willingness to travel for client or internal engagements.

Manage day-to-day AWS infrastructure across multiple accounts/environments, handle incidents and root cause analysis, ensure availability and performance, monitor health and costs, perform access management and patching, provision infrastructure with Terraform, detect and remediate drift, automate operational tasks, and support CI/CD-driven deployments.

As an Automation Engineer, you'll test and analyze a SaaS-based datacenter monitoring solution, design test cases, and contribute to automation coverage to ensure software quality.

Lead QA automation efforts for a SaaS observability platform: design and execute functional, regression, performance, and automation tests; build and maintain automation frameworks; mentor QA engineers; collaborate with product and dev teams; identify risks and drive continuous improvement.

Senior SDET focused on backend and API testing: design and build test automation frameworks (API, contract, UI), maintain CI/CD pipelines, monitor automation health, perform manual web verification, improve QA processes, mentor engineers, and coordinate testing activities across teams.

Lead the design, operation, and standardization of global cloud infrastructure across AWS, Azure, and GCP. Own large-scale Kubernetes platforms, service mesh, GitOps, infrastructure as code, CI/CD, observability, security, compliance, and on-call excellence. Drive multi-account AWS architecture, mentor engineers, influence cross-functional technical direction, and develop AI-assisted and agentic operational automation using tools such as Amazon Bedrock.

Lead design and build secure, scalable authentication products (ID Check, Token Authentication) for e-commerce. Drive architecture, full-stack microservice development, CI/CD/cloud deployments, performance and reliability, mentor engineers, influence prioritization, and collaborate with product stakeholders to deliver global customer-facing services.

Lead and deliver large-scale, cross-functional data and AI platform programs (cloud data platforms, ML enablement, governance, FinOps, security). Manage dependencies, risks, stakeholders, and program governance; drive Agile/SAFe execution, observability, reliability, and multi-cloud expansion.

Lead design and implementation of full-stack web applications and scalable data pipelines. Build intuitive UIs, backend data models, performant analytics, write and review tests, mentor junior engineers, and collaborate with product and design to deliver customer-focused solutions.

Design, build, and maintain scalable data pipelines and cloud data platforms to support AI/ML workloads. Deploy, monitor, and operationalize machine learning models, implement CI/CD and MLOps, ensure data quality, scalability, and governance while collaborating with data scientists, engineers, and stakeholders.

Sell Dynatrace to enterprise customers through a land-and-expand approach. Own a 40-account territory (0–2 customers, 35–40 prospects), drive new-logo acquisition, engage VP/C-level stakeholders, run product demos and market initiatives, coordinate with sales engineering, marketing, legal and finance, and ensure successful implementations and upsell opportunities.

Architect and deliver high-performance Angular-based UI for a cloud SaaS product. Improve frontend code quality and automated UI test coverage, ship responsive components, mentor junior engineers, collaborate with UX and backend microservices, and lead frontend architecture and release planning.

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

Develop and maintain secure, scalable Mastercard software applications using Java and Angular. Responsibilities include programming, API and UI test automation, code reviews, documentation, CI/CD quality gates, technical solution evaluation, software maintenance, metrics reporting, and adherence to quality and security standards. The role collaborates with cross-functional Agile teams to deliver resilient, testable applications and improve engineering processes.

Develop, test, document, implement, maintain, and support secure, scalable software applications. Build API and UI test automation, CI/CD quality gates, and automation frameworks while following software quality standards. Collaborate with cross-functional Agile teams, address emerging issues, report project metrics, and deliver solutions using Java, Angular, Spring Boot, cloud platforms, and related technologies.