Top AWS Jobs in Pune

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.

Lead and coach backend engineering teams to design, build, deploy, and operate global digital payment authentication products. Hire and develop talent, drive architecture, prioritize technical debt, ensure cloud-native deployments, testing strategies, and engineering productivity across services.

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.

Provide advanced cybersecurity monitoring, incident triage, digital forensics, malware analysis, threat hunting, and incident response across on-premises, cloud, and hybrid environments. The role escalates complex security incidents, leads containment and recovery, improves detection logic and automation, maintains response playbooks and procedures, supports regulatory reporting, and mentors junior analysts. Collaboration with engineering, legal, IT, and leadership is required during high-severity incidents.

Support data governance policy implementation, data discovery, classification, cataloging, quality monitoring, metadata and lineage documentation, risk assessments, audits, tool administration, and remediation. Partner with data owners, stewards, and IT teams to promote secure, compliant, and trusted data. Provide training, user support, workflow assistance, and governance dashboards for leadership.

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 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.

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.

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.

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.

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.

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.

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.