Top AWS Jobs in Pune

As an Enterprise Architect, you will define enterprise data architecture, lead cloud platform modernization, establish governance frameworks, and integrate AI-driven solutions while mentoring global teams.

Lead a team to design, develop, test, and maintain high-performance, scalable Java-based microservices. Own solution design, implement CI/CD and automation, ensure quality via test frameworks (API/UI), and collaborate with architects, product owners, and operations.

The Engineering Lead will design and implement technical features, work on ML pipelines, and mentor engineers while ensuring high-quality deliverables. This role requires collaborating with teams and managing the ML lifecycle for business value.

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.

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.

Design, build, and scale cloud-native data and BI solutions on Databricks and Snowflake. Develop high-performance data pipelines, enable multi-cloud interoperability (AWS/Azure), implement governance and secure access patterns, maintain CI/CD and infrastructure-as-code for platform provisioning, and lead technical design while mentoring engineers.

Lead design and implementation of scalable Salesforce solutions, architect integrations and data strategies, provide technical leadership and mentorship, ensure platform performance/security, and align solutions with enterprise architecture and business needs.

Designs, builds, and maintains scalable, secure, highly available AWS platforms across multiple accounts. Manages infrastructure as code, networking, access controls, guardrails, CI/CD, automation, monitoring, incident response, and reliability improvements. Leads architecture discussions, code reviews, technical initiatives, and engineering mentorship while troubleshooting and optimizing large-scale systems.

Designs, builds, and operates Mastercard’s enterprise Developer Workbench platform. Responsibilities include integrating developer tools, managing tooling lifecycles, creating standardized onboarding environments, advancing AI-assisted development capabilities, implementing CI/CD and cloud-native solutions, measuring developer productivity, and ensuring security and regulatory compliance. The role collaborates across product, platform, security, compliance, and engineering teams while contributing to technical strategy and engineering standards.

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.

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 deliver secure, scalable Java-based microservices and RESTful APIs for global authentication products. Drive architecture, mentor engineers, collaborate with product owners, ensure non-functional requirements, deploy via CI/CD and container orchestration, and promote technical excellence and reuse across teams.

Develop and maintain secure, high-quality software components for Mastercard’s unified UI platform. Responsibilities include coding, testing, deployment, troubleshooting, refactoring, automation, API integration, release pipeline orchestration, and architecture understanding. The engineer will contribute to Agile processes, conduct demos, improve operational metrics, promote engineering standards, review code, mentor team members, and collaborate with product owners to deliver reliable, accessible customer experiences.

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.

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.

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.

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 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.

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.

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.

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.