Top AWS Jobs in Pune

Build and operate a self-service data commercialization platform spanning web experiences, APIs, cloud infrastructure, lakehouse systems, and automation. Develop scalable data platforms using Python, Spark, Databricks, orchestration, Java, React, and cloud services. Design secure, reliable workflows with observability, access controls, infrastructure as code, CI/CD, and multi-cloud architecture. Collaborate on technical trade-offs and integrate distributed systems, databases, and AI-powered capabilities.

Design, develop, and maintain scalable cloud-based applications using Java and Spring Boot. Collaborate with product and engineering teams, follow security and architectural standards, and participate in testing, code reviews, deployments, incident response, and root-cause analysis. Improve CI/CD pipelines, automation, documentation, and engineering workflows while adopting AI-assisted development tools. Contribute to Agile planning, technical research, project estimation, and continuous learning.

Leads the architecture, design, coding, testing, and delivery of scalable, secure, cloud-native software and data distribution platforms. Defines modernization strategy, builds APIs, services, data pipelines, and analytical capabilities, and drives architecture and design reviews. Coordinates globally distributed teams, partners across engineering and business functions, mentors engineers, and promotes reliability, observability, continuous delivery, and engineering excellence.

Build and operate scalable cloud data and lakehouse platforms, including self-service interfaces, automation, APIs, infrastructure, governance, and security. Develop backend services with Java and Spring Boot, web experiences with React and TypeScript, and data solutions using Python, Spark, Databricks, and orchestration tools. Design reliable workflows, distributed systems, integrations, and cloud infrastructure across AWS and/or Azure. Contribute to architecture, observability, testing, cost optimization, and AI-powered platform capabilities.

Design and implement production-grade AI and machine learning solutions, including scalable GenAI applications, RAG pipelines, ML platforms, data pipelines, and distributed cloud systems. Collaborate with architects and client-facing teams, write tested and maintainable code, conduct technical research and proofs of concept, participate in Agile delivery, troubleshoot production issues, review code, estimate work, and mentor engineers.

Lead quality engineering for scalable, cloud-native microservices. Develop manual and automated tests, maintain test harnesses, integrate testing into CI/CD, configure application environments, validate functionality across operating systems and databases, and partner with developers to diagnose defects. Champion automation and testing standards, improve execution reliability and coverage, collaborate with product and engineering leadership, and mentor team members. The role also requires using AI-assisted engineering tools and frameworks to improve delivery and product quality.

Develop and maintain manual and automated tests for scalable, cloud-native microservices and enterprise software. Own test planning, functional, regression, and integration validation; integrate automation into CI/CD pipelines; configure test environments; analyze metrics; reproduce and triage defects; and ensure coverage across operating systems and databases. Champion testing best practices, improve automation reliability, collaborate with engineering and product teams, and mentor other test engineers.

Drive enterprise software acquisition and revenue growth across a regional territory. Manage prospects and a small existing customer base using land-and-expand strategies, executive engagement, demonstrations, events, territory planning, and strategic account development. Build relationships with VP and C-level stakeholders, partners, and internal teams to close complex sales, acquire new logos, expand usage, and support successful customer implementations.

Design and develop a scalable automated locates platform for securities finance using Java, Spring, microservices, distributed systems, containers, AWS, SQL, caching, and messaging technologies. Build enterprise applications, optimize transactional data models and queries, integrate with existing workflows, and collaborate with developers, analysts, QA, and operations teams.

Build and maintain reliable, scalable Java-based microservices for SailPoint’s cloud identity analytics SaaS product. Responsibilities include technical design, feature implementation, code reviews, testing, production performance instrumentation, CI/CD improvements, and collaboration across an agile engineering team. The role will eventually own functional areas, contribute to architecture decisions, and lead scalable microservice enhancements.

Designs, automates, and optimizes enterprise Windows platforms using SCCM, Ansible, PowerShell, and Infrastructure as Code. Responsibilities include OS deployment, patching, software distribution, compliance enforcement, server build pipelines, CI/CD integration, self-service delivery, troubleshooting, capacity planning, and platform modernization. The role leads Wintel engineering workstreams, establishes automation standards, collaborates with infrastructure and security teams, and supports scalable, secure, and highly available services.

Leads the design, development, deployment, and support of scalable data pipelines and platforms across Hadoop, on-premises, and AWS cloud environments. Builds batch and near-real-time processing frameworks, modernizes ETL and data warehouse workloads, implements governance and observability capabilities, and troubleshoots production issues. Mentors engineers, collaborates with cross-functional stakeholders, evaluates emerging technologies, and ensures secure, high-quality delivery for enterprise-scale data ecosystems.

Leads and mentors a software engineering team developing SailPoint’s cloud-native identity security products. Responsibilities include writing and reviewing code, debugging distributed systems, managing Agile delivery, planning projects, coordinating with global stakeholders, improving architecture and processes, managing technical risks, and delivering AWS-based microservices and product features.

Develop and maintain full-stack software and platform solutions for disability and absence products. Responsibilities include designing systems, frameworks, applications, APIs, and databases; developing with React or Angular, Java, SQL, microservices, Kubernetes, and cloud platforms; participating in code reviews, testing, deployment, incident resolution, production support, Agile planning, and user-story refinement.

Designs and develops complex applications and systems from the ground up. Provides technical leadership across large projects, balancing technical solutions, business value, and operational simplicity. Builds CRUD APIs, integrations, microservices, and message-driven applications using JavaScript, Java, SQL, cloud platforms, Kubernetes, databases, and scripting technologies.

Build and maintain petabyte-scale data pipelines, entity-centric data models, and distributed workflows using Databricks and Spark. Partner with data science teams to productionize ML features and artifacts, optimize ETL/ELT processes, and implement testing, monitoring, observability, and incident response. Collaborate with governance and operations teams to ensure secure, compliant data management while supporting scalable merchant identity and trust-profile systems.

Manages and coaches multiple software engineering teams responsible for developing, enhancing, and supporting applications and services. Partners with product owners, oversees hiring and career development, manages budgets, drives engineering productivity and quality, and promotes secure coding, technical debt reduction, system reliability, standardized deployment, CI/CD automation, vulnerability scanning, testing, and performance optimization.

Lead enterprise data and AI architecture for global clients, defining cloud-native target architectures, modernization roadmaps, governance frameworks, and GenAI solutions across AWS, Azure, and GCP. Advise executives, guide global engineering teams, oversee technical governance, support proposals and thought leadership, and build reusable architecture assets and centers of excellence.

Leads software engineering for Mastercard Send, owning complex service-level problems, architecture, secure coding, testing, integration, automation, and production reliability. Writes and reviews code, drives prioritization and agile delivery, improves CI/CD pipelines, conducts troubleshooting and incident postmortems, mentors engineers, guides architecture, supports product acceptance, and participates in hiring and promotion decisions. The role requires cross-functional collaboration across globally distributed teams and ownership of high-availability digital payment services.

Design and develop a scalable automated securities finance platform using Java, Spring, microservices, distributed systems, containers, SQL, AWS, messaging, and caching technologies. Build enterprise applications, optimize high-volume transactional data models and queries, integrate with existing workflows, and collaborate with developers, analysts, QA, and operations teams.

Lead the architecture and development of scalable batch, streaming, and event-driven data platforms supporting analytics, machine learning, generative AI, and agentic AI. Build governed lakehouse architectures, reusable data products, ingestion and orchestration pipelines, and AI lifecycle capabilities. Drive security, governance, observability, reliability, performance, and cost optimization while translating R&D concepts into production systems. Provide hands-on technical leadership, architecture reviews, mentorship, and cross-functional collaboration.

Lead the architecture and hands-on development of scalable batch, streaming, and event-driven data platforms supporting analytics, machine learning, generative AI, and agentic AI. Build governed lakehouse architectures, reusable data products, ingestion and orchestration pipelines, and ML lifecycle capabilities. Establish standards for security, governance, testing, CI/CD, observability, reliability, and cost optimization while providing technical leadership, mentoring, architecture reviews, and cross-functional collaboration.

Leads the architecture, development, and productionization of AI/ML and GenAI solutions for healthcare operations. Responsibilities include building clinical and claims data pipelines, developing LLM and RAG applications, implementing MLOps and LLMOps, ensuring HIPAA-compliant governance, translating business needs into technical roadmaps, communicating with stakeholders, and mentoring engineers.

Leads hands-on development of scalable Java and Go distributed systems, event-driven microservices, and cloud-native services on AWS. Defines architecture, technical roadmaps, and engineering standards; optimizes databases and streaming pipelines; contributes to testing, CI/CD, production support, and on-call operations. Mentors engineers, leads cross-functional technical alignment, and advances AI-assisted engineering practices across a multi-tenant SaaS platform.

Lead advanced cybersecurity incident response, including alert escalation, threat detection, log analysis, malware and forensic investigation, containment, eradication, and recovery. Support threat hunting, improve detection logic and automation, maintain incident response playbooks, conduct regulatory reporting, and collaborate with engineering, legal, IT, and leadership. Mentor junior analysts and lead high-severity incident response activities across on-premises, cloud, and hybrid environments.