Top AWS Jobs in Bangalore

Design and build scalable web applications on AWS using React, TypeScript, Python, and DevOps practices. Ensure code quality through Agile/Scrum delivery, unit and integration testing, code reviews, documentation, and engineering design specifications. Optimize application performance, database queries, caching, response times, logging, and troubleshooting while applying security fundamentals and enabling CI/CD.

Design, build, test, deploy, and maintain distributed software systems using modern engineering practices. Collaborate with AI Studio teams and engineering leaders to solve business problems, improve performance, reliability, cost, and security, and deliver scalable service-oriented applications. Conduct code reviews, mentor junior engineers, and contribute across the full software development lifecycle, including architecture, testing, operations, and cloud deployment.

Develops secure, scalable software for AI/ML and generative AI platforms within an agile team. Responsibilities include Python and AWS development, platform engineering, MLOps, data governance, LLM fine-tuning, multi-agent orchestration, troubleshooting, automation, continuous integration, and communicating technical solutions across the organization.

Develop and deliver customer solutions that modernize legacy Java and SQL applications by migrating them to MongoDB and cloud-native architectures. Collaborate in Agile teams, apply migration best practices, debug and optimize applications, and explore GenAI-powered migration solutions. The role requires stakeholder communication, continuous learning, and technical collaboration across customer projects.

Maintains and troubleshoots global on-premises network infrastructure, primarily Cisco Meraki switches, access points, and firewalls. Responsibilities include configuring hardware, resolving incidents, supporting upgrades and migrations, assisting with automation, monitoring network health, documenting designs and procedures, managing hardware lifecycles, supporting deployments, coordinating with vendors, and providing user support. The role includes tier-1 and tier-2 IT support and participation in a 24/7 rotational on-call schedule.

Develops secure, scalable Java software for JPMorganChase’s Asset and Wealth Management Technology team. Responsibilities include application design, coding, troubleshooting, architecture documentation, testing, data analysis, and operational stability. The role uses AWS services, Cassandra, microservices, distributed systems, messaging, observability tools, and enterprise-authorized AI coding tools. It requires evaluating AI-generated outputs for correctness, performance, security, and responsible use within agile software development workflows.

Build and lead end-to-end enterprise travel platform features across Java/Spring Boot backends and modern frontends. Design scalable microservices, APIs, workflows, dashboards, integrations, and data services while ensuring transactional integrity, monitoring, testing, and operational reliability. Own technical domains, collaborate with product and design teams, shape long-term architecture, mentor engineers, and leverage AI-assisted development tools.

Enables development teams to deploy and operate applications on scalable, secure cloud infrastructure. Responsibilities include building CI/CD pipelines, managing infrastructure as code, defining SLOs and SLIs, creating deployment blueprints, monitoring production systems, supporting containerization and cloud modernization, and improving security, observability, and developer workflows across AWS and Azure environments.

Lead complex, cross-functional software engineering initiatives for JumpCloud’s device management platform. Responsibilities include architecture, technical strategy, solution design, development of highly available and performant services, requirements discovery, collaboration with product and UX teams, mentoring engineers, and driving projects across multiple teams. The role requires deep expertise in device management across major operating systems, cloud platforms, distributed systems, microservices, databases, Kubernetes, and CI/CD.

Develop and maintain distributed systems, microservices, and APIs primarily with Golang. Deploy applications using Kubernetes, Docker, and cloud infrastructure; build CI/CD pipelines; and integrate with native operating-system frameworks. Collaborate on UI components, apply AI throughout development and testing, and support device-management capabilities such as Apple, Android, and Windows enrollment. The role is remote within India and includes on-call participation.

Develop cross-platform device management software for Windows, macOS, and Linux using Go and Node.js. Build endpoint management engines, system agents, MDM telemetry, enrollment pipelines, and highly available cloud APIs. Work with operating system internals, authentication and security protocols, automated testing, CI/CD, cloud platforms, containers, and Kubernetes. Collaborate across engineering and product teams in a Scrum environment, contribute to planning, mentor junior engineers, and participate in on-call rotations.

Leads quality engineering for major product areas and cross-team initiatives. Defines comprehensive test strategies, develops and maintains automated tests, performs complex debugging and root cause analysis, and supports incident prevention. Partners with developers and architects to improve testability, CI/CD releases, and collective quality ownership. Mentors quality engineers, contributes to hiring, manages testing risks, and drives coverage across unit, functional, integration, performance, security, exploratory, and acceptance testing.

Maintain and improve AWS cloud infrastructure supporting Chase UK’s 24/7 digital bank. Responsibilities include enhancing connectivity, security, performance, deployment pipelines, CI/CD tooling, developer platforms, and software delivery experience. The role involves using Bash, Python, and Go, supporting Kubernetes, databases, and Kafka, and participating in an on-call rotation.

Leads software engineering delivery within an agile team, designing, developing, testing, debugging, and supporting secure, scalable applications. Establishes effective and responsible AI-assisted engineering practices, including code generation, review, testing, troubleshooting, and validation. Automates recurring remediation, improves operational stability, evaluates vendor and startup technologies, and contributes to AWS web application development, Java engineering, cloud deployments, DevOps, and machine learning or LLM integrations.

Lead technical strategy and solution architecture for complex, high-value GSI-led bids. Develop joint solutions, proposals, architectures, demonstrations, and executive presentations while coordinating MongoDB, partners, customers, sales, delivery, legal, and finance stakeholders. Translate business outcomes into scalable, secure MongoDB architectures and partner delivery models, identify risks and competitive threats, support strategic pursuits, create reusable bid assets, and mentor architects and partner technical teams.

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.

Design, automate, operate, and improve Cargill's global software-defined WAN (Versa SD-WAN). Lead architecture and lifecycle management, build network automation and IaC (Python, Ansible, Terraform), enhance observability (Datadog, Versa analytics), troubleshoot complex WAN and routing issues, author designs and runbooks, and provide technical leadership and mentoring.

Lead backend software engineer responsible for designing, building, maintaining, and scaling distributed services and support tooling for New Relic’s observability infrastructure. The role involves architecture, automation, cloud development, agile DevOps practices, on-call support, research, feature development, mentoring, and collaboration across multidisciplinary teams. Candidates must have extensive distributed-systems experience, strong Go proficiency, cloud expertise, and the ability to deliver production-scale software.

Develop and maintain highly scalable Java backend applications and services on AWS. Design, document, and implement new functionality; participate in code and design reviews; maintain automated test coverage; and support continuous integration and deployment. The role involves Java, Spring, Docker, Terraform, AWS services, microservices, REST, relational and NoSQL databases, and collaborative Agile development across a distributed engineering team.

Develop and maintain scalable software and AI-enabled solutions across the product lifecycle. Collaborate with agile product teams, build full-stack and cloud-native capabilities, implement CI/CD, automated testing, observability, and DevOps practices, and contribute to responsible AI development. Own production reliability through monitoring, incident response, root cause analysis, and continuous improvement while reducing technical debt and sharing engineering best practices.

Lead end-to-end technical delivery for backend or full-stack systems: design, implement, optimize, and mentor engineers. Own features from estimation to release, ensure code quality, security, CI/CD, and collaborate with Product, QA, DevOps, and Architecture.

Design and develop scalable backend services for corporate expense, payments, ledgers, policy management, and accounting integrations. Own features end to end, improve system reliability and performance, support production deployments, and collaborate with global cross-functional teams. Apply Java, Spring Boot, distributed systems, microservices, AWS, and AI-driven development while promoting strong engineering practices in testing, documentation, monitoring, and code quality.

Design and build scalable SDET testing infrastructure for data connectors, parsers, and ingestion platforms. Develop reusable testing frameworks, CI/CD integrations, AI-powered test generation, monitoring and reporting systems, utilities, and testing standards. Lead technical architecture decisions while ensuring quality, reliability, and accuracy across distributed systems. The role requires programming expertise in Python or Go, cloud platform experience, containerization, orchestration, and scalable automation framework development.

Architect, develop, and scale secure cloud-native software, microservices, REST/gRPC APIs, and distributed systems for security operations and exposure management. Lead end-to-end technical execution, mentor engineers, collaborate on high-performance interfaces, and monitor and optimize system health. The role requires expertise in Java, Spring, containers, cloud platforms, observability, software development lifecycle practices, and highly available infrastructure.

Own the technical evolution and architecture of Jira Data Management, leading enterprise-scale data movement, governance, resilience, and data health initiatives. Define long-term platform roadmaps, lead major architectural programs, and improve reliability, performance, observability, security, and operational excellence. Provide hands-on technical leadership through design reviews, investigations, incident reviews, and complex problem solving while mentoring senior and principal engineers.