Top AWS Jobs in Bangalore

Define and drive next-generation platform architecture, embed AI capabilities into identity and device management systems, guide executive technical strategy, design globally scalable cloud systems, mentor engineering teams, evaluate competitors, and adapt architecture to emerging AI, security, and privacy requirements.

Develop and test moderate-to-complex cloud application modules for digital experience and automation platforms. Responsibilities include analyzing specifications, coding, debugging, integrating applications, creating comprehensive tests, deploying cloud systems through CI/CD pipelines, addressing application and infrastructure issues, and evaluating emerging technologies. The role requires full-stack development expertise across Node.js, Angular, databases, containers, AWS, and modern web technologies.

Develops and tests moderate-to-complex cloud application modules for HPE Networking’s digital experience and automation platforms. Responsibilities include full-stack coding, debugging, integration, cloud deployment, CI/CD automation, performance and security testing, data processing, and incorporating emerging technologies. The role requires strong Node.js, Angular, TypeScript, JavaScript, PostgreSQL, Docker, AWS, and web application development expertise.

Leads the design, development, testing, integration, and cloud deployment of complex digital experience and automation platforms. Reviews designs and code for compliance, improves product quality, mitigates risks, mentors engineers, represents the team in technical forums, and drives adoption of new technologies. The role develops scalable full-stack solutions using Node.js, Angular, cloud platforms, databases, containers, APIs, and automated testing.

Leads the design, development, testing, integration, and maintenance of complex cloud-based products and platforms. Develops scalable full-stack applications, reviews designs and test plans, ensures engineering standards, improves product quality, and mitigates risks. Represents engineering in technical forums, mentors less-experienced developers, drives adoption of new technologies, and solves complex application, system administration, networking, and data-processing problems.

Leads the design, development, testing, integration, and maintenance of complex cloud-based products and platforms. Reviews technical designs and test plans, ensures engineering standards, improves product quality, analyzes complex application and systems problems, and drives technology innovation. Represents the engineering team in technical forums while mentoring less-experienced developers. The role focuses on full-stack development using Node.js, Angular, TypeScript, PostgreSQL, Docker, AWS, and related web technologies.

Leads software engineering teams and projects involving full-stack development, distributed microservices, databases, cloud services, serverless applications, and deployment pipelines. Designs, builds, tests, troubleshoots, and supports complex systems across environments. Provides technical direction, mentors engineers, applies architecture and design patterns, improves CI/CD pipelines, resolves production issues, and develops scalable customer-facing features.

Architects, builds, and scales secure cloud-native infrastructure for security operations and exposure management. Leads distributed systems and microservices development, REST/gRPC API design, observability, troubleshooting, and service optimization. Collaborates with front-end engineers, mentors junior developers, and drives end-to-end technical execution. Requires extensive experience with Java, Spring, containers, cloud platforms, distributed systems, cloud storage, and the full software development lifecycle, with preferred expertise in AI security, high availability, disaster recovery, TDD, Agile, CI/CD, and databases.

Design and lead the strategy, architecture, and implementation of a scalable application platform supporting microservices, APIs, shared libraries, and AI agent workflows. Define standards, evaluate technologies, improve developer enablement, and ensure high availability, security, monitoring, and operational excellence. Collaborate with engineering, DevOps, and security teams while governing platform documentation and best practices.

Leads development of scalable data pipelines, backend microservices, APIs, infrastructure-as-code, and CI/CD solutions. Builds systems using Python, Java, AWS, Spark, and data lake technologies while optimizing reliability, performance, and cost. Conducts design reviews, testing, troubleshooting, and root-cause analysis. Mentors junior engineers and promotes responsible use of AI-assisted development tools, secure coding practices, and engineering standards across the team.

Designs, develops, tests, and troubleshoots secure, scalable Java microservices using Spring Boot and RESTful patterns. Implements OAuth2/OIDC, JWT, mTLS, AWS security integrations, entitlement and policy evaluation, and resilient service integrations. Creates architecture artifacts, maintains production stability, applies observability practices, and uses enterprise-authorized AI-assisted development tools responsibly. Collaborates with identity and security engineering while contributing to secure, maintainable software and team engineering practices.

Develops secure, scalable Java applications within an agile Asset and Wealth Management engineering team. Responsibilities include system design, coding, testing, troubleshooting, architecture documentation, data analysis, application resiliency, and production stability. The role uses Java, Spring Boot, React, and AWS while contributing to software engineering practices, continuous improvement, and inclusive team culture.

Lead software engineering for JPMorganChase’s API Marketplace. Design, develop, test, troubleshoot, and maintain secure, scalable production systems using Java and AWS. Review code, improve software delivery through authorized AI-assisted engineering practices, automate recurring issue remediation, and promote resilient development standards. Lead technical evaluations with vendors and internal teams, while contributing to agile delivery, system architecture, operational stability, and secure software development.

Develop and scale full-stack features for an AI-first corporate expense platform. Responsibilities include building Java/Spring Boot backend services, responsive frontend portals, APIs, microservices, data services, policy workflows, administrative controls, accounting integrations, and monitoring. The role owns features end-to-end, collaborates across engineering and product teams, contributes to technical strategy, mentors engineers, and promotes testing, reliability, and documentation best practices.

Designs, develops, tests, troubleshoots, and maintains secure, scalable Java applications and microservices. Creates architecture and design artifacts, supports operational stability, analyzes large datasets, and improves coding practices and system architecture. Uses AWS services and enterprise-authorized AI-assisted development tools while validating outputs for security, correctness, and performance. Works within agile SDLC practices and contributes to resilient production systems.

Build and maintain core infrastructure services and distributed microservices supporting machine learning, frontend, and platform teams. Develop capabilities including configuration management, rate limiting, feature flags, A/B testing, and traffic capture and replay. Improve cloud infrastructure performance, scalability, latency, and observability. Own features end-to-end, deliver deadline-sensitive work, collaborate across engineering teams, and influence the infrastructure roadmap.

Develops secure, scalable full-stack software for JPMorganChase’s Commercial & Investment Bank. Responsibilities include designing and delivering Java and React applications, building microservices and APIs, creating architecture artifacts, troubleshooting production systems, implementing automated testing, analyzing data for system improvements, and using enterprise-authorized AI coding tools responsibly. The role requires collaboration within agile teams and maintaining high standards for application security, resiliency, performance, and operational stability.

Develops secure, scalable software for JPMorgan Chase’s AI/ML and GenAI platforms. Responsibilities include coding in Python, troubleshooting applications, applying platform engineering and MLOps practices, supporting LLM fine-tuning and multi-agent orchestration, improving automation, and maintaining robust data governance and continuous integration processes.

Designs, develops, tests, and troubleshoots secure, scalable software solutions and enterprise data pipelines using Big Data, Spark, AWS, and SQL. Builds ETL workflows, data architectures, and analytics capabilities; creates architecture artifacts, maintains production code, and improves system resiliency, security, and coding practices. Collaborates within agile teams and uses authorized AI-assisted development tools responsibly. The role requires 7+ years of software engineering experience, with Databricks familiarity preferred.

Design, build, and support secure, scalable backend software components and services. Develop APIs and integrations, troubleshoot technical issues, improve system reliability and performance, and collaborate with cross-functional engineering and product teams. Responsibilities include code reviews, technical discussions, monitoring, debugging, and production support.

Leads and coaches multiple software engineering teams supporting payments data analytics and reporting platforms. Oversees resources, budgets, technical execution, and operational practices while modernizing legacy systems and improving scalability, resiliency, security, and delivery speed. Drives enterprise adoption of AI-assisted engineering and SDLC automation, guides Java and Spring-based development, and influences strategic technical decisions. Requires strong cloud-native AWS experience, distributed team leadership, financial services knowledge, and expertise in secure, resilient software delivery.

Administer, operate, and manage Citrix Virtual Apps and Desktops environments across Citrix Cloud and on-premises deployments. Resolve critical incidents, perform troubleshooting, migrations, change activities, RCA, and problem management. Maintain Citrix infrastructure and related virtualization, networking, storage, and directory services. Drive automation, support customer onboarding, document cases, meet SLAs, train team members, and participate in technical workshops. The role requires 24/7 support and weekend on-call availability.

Designs and supports enterprise-scale infrastructure and application automation across on-premises, hybrid-cloud, and multi-cloud environments. The role architects CI/CD, configuration management, Kubernetes, GitOps, container, and infrastructure automation solutions; provides engineering-level production support; troubleshoots complex customer environments; and collaborates across technology teams to deliver reliable, scalable platforms.

Leads multiple software quality engineering teams within asset and wealth management. Responsibilities include developing enterprise QE strategies, automated and performance testing frameworks, CI/CD orchestration, load and scalability testing, monitoring and analytics, AWS validation, and bottleneck analysis. Manages 6–8 QEs, partners cross-functionally, ensures compliance, and guides responsible adoption of AI-assisted engineering and SDLC automation practices.

Leads the architecture, strategy, and implementation of enterprise backend .NET services. Designs scalable cloud-native microservices, API-driven and event-driven systems, and distributed platforms using technologies such as Kafka, Kubernetes, AWS, Azure, and SQL Server. Provides enterprise-wide technical leadership, drives architectural standards, coordinates complex cross-functional delivery, evaluates emerging technologies, solves critical technical problems, and mentors senior engineering teams.