Top AWS Jobs in Pune

Develop, test, implement, document, maintain, and support secure, scalable software applications. Build API and UI test automation, validate system integrations, implement CI/CD quality gates, refactor automation code, and follow software quality and security standards. Collaborate with cross-functional Agile teams, meet delivery timelines, report project metrics, identify emerging issues, and recommend solutions.

Leads and manages software engineering teams developing scalable Java, cloud, and microservices-based products and platforms. Responsibilities include architecture leadership, hands-on development, code reviews, technical design, agile delivery, engineering quality, cloud enablement, streaming analytics, recruiting, mentoring, and stakeholder collaboration. The role oversees the full software development lifecycle and advances high-volume data access, platform strategy, and engineering productivity.

Lead and grow agile engineering teams to design, build, and operate large-scale, distributed payment systems. Provide hands-on technical leadership across architecture, code quality, testing, CI/CD, security, and cloud-native deployments while partnering with product and program teams to ensure predictable, high-quality delivery.

Lead architecture, design, coding, testing, and delivery of a cloud-native experimentation and analytics platform. Build scalable services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, Spark, and PySpark. Drive modernization, system design, technical strategy, architecture reviews, security, reliability, observability, and continuous delivery. Coordinate globally distributed teams, collaborate cross-functionally, mentor engineers, and ensure high-quality delivery of data-intensive software solutions.

Lead the architecture, development, scaling, and modernization of Java-based AWS microservices and full-stack web interfaces. Build RESTful APIs, responsive UIs, automated testing pipelines, telemetry, and continuous delivery workflows. Optimize distributed systems for resilience, scale, and low latency while driving architecture discussions, code reviews, technical sizing, and mentorship across the engineering organization.

Leads the design, development, and delivery of scalable full-stack Java applications using React or Angular. Establishes architecture, technical standards, APIs, microservices, security, resiliency, and zero-downtime production practices. Collaborates with product and cross-functional teams, provides technical leadership, estimates scope and timelines, and supports project delivery. The role also drives cloud-native development, DevOps automation, observability, release management, and adoption of generative AI solutions.

Lead the design and development of scalable cloud-native data platforms and batch or real-time pipelines supporting AI, machine learning, and Generative AI. Build infrastructure for feature engineering, model training, inference, LLMs, RAG, embeddings, and vector databases. Ensure data quality, governance, security, observability, reliability, and cost efficiency while enabling MLOps and AgenticOps capabilities across enterprise AI initiatives.

Leads the architecture, development, deployment, and lifecycle management of enterprise AI, machine learning, generative AI, and agentic AI platforms. Establishes AI engineering standards, MLOps and AgenticOps practices, cloud-native architectures, governance, security, and operational excellence. Partners with architecture, security, product, data science, and infrastructure teams to define roadmaps, evaluates emerging technologies, mentors engineers, and drives production adoption of scalable AI capabilities.

Design, build, and operate Dev Cloud and internal developer platform capabilities. Own Docker Desktop developer workflows, extend Backstage (templates, plugins, catalogs), build cloud-native services on AWS, automate IaC and CI/CD, drive observability and security, onboard application teams, troubleshoot developer issues, and mentor engineers to improve developer experience and platform reliability.

Design and build a regional observability data lake for logs, metrics, traces, and events across cloud-native services. Develop distributed services, cloud platforms, CI/CD and infrastructure automation, while applying SRE principles for resiliency, supportability, and observability. Collaborate with product and engineering stakeholders, troubleshoot complex dependencies, contribute to architecture reviews, and promote security, standards, automation, mentoring, and developer productivity.

Design, build, deploy, and operate enterprise AI, machine learning, generative AI, and agentic AI systems. Productionize prototypes into scalable platforms, develop end-to-end ML pipelines and LLM applications using RAG and vector databases, and implement MLOps and AgenticOps practices. Architect cloud-native services with Kubernetes and microservices, optimize reliability and performance, and ensure security, privacy, compliance, governance, and responsible AI standards. Collaborate with technical and business stakeholders on reusable AI capabilities and strategic roadmaps.

Lead software development for Mastercard’s fraud decision management platform. Design, build, maintain, and support high-performance distributed backend systems using Java and modern cloud technologies. Lead SDLC activities, design and code reviews, Agile planning, production incident resolution, vendor coordination, offshore development, security compliance, and deployment planning. Mentor engineers, provide technical training, evaluate technologies, and improve engineering standards and delivery processes.

The Senior Site Reliability Engineer will enhance service reliability and performance across critical systems, using Java and various cloud technologies, while mentoring junior engineers.

Lead QA efforts for market-facing products: define test strategies, build and maintain automated test frameworks, perform functional, API, integration and performance testing, mentor QA engineers, improve CI/CD quality gates, and collaborate with product and engineering to ensure delivery and defect resolution.

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.

Manage and operate AWS infrastructure across multiple accounts and environments. Troubleshoot incidents, monitor health and costs, ensure availability and performance, provision resources with Terraform, detect and remediate drift, automate operational tasks, and collaborate with engineering, security, and data teams to support CI/CD deployments and scalable, secure cloud architectures.

Collaborate with teams to gather technical requirements, design features, write production-ready code, and manage ML lifecycle in a consulting environment.

Designs, develops, tests, deploys, and operates scalable Java software using microservices, APIs, event-driven architecture, batch processing, and cloud platforms. Owns delivery tasks, architecture, integrations, security, reliability, CI/CD pipelines, and operational metrics. Collaborates with product stakeholders, leads technical decisions, conducts demos, improves processes, reviews code, and mentors less-experienced engineers.

Leads offshore delivery for pharmaceutical and biotech data and technology engagements. Manages 20–30+ data engineers, developers, and consultants; establishes staffing, coordination, quality, risk, financial, and efficiency processes; coordinates across offshore, onshore, and R&D technology teams; participates in client discussions; and supports reusable asset development, including Generative AI solutions for drug discovery and preclinical research.

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.