Top AWS Jobs in Bengaluru

Develop and deploy scalable backend services for web applications. Responsibilities include RESTful API development and testing, database integration, asynchronous task queuing, containerization, and collaboration with the development team. The role uses Python frameworks such as FastAPI, Flask, or Django, relational databases, Docker, and potentially Kubernetes and cloud platforms.

Design and operate fault-tolerant, performance-critical backend infrastructure across AWS and GCP. Build serverless services, REST and WebSocket APIs, secure cloud deployments, and scalable AI workflows including fine-tuning and inference pipelines. Develop custom AI agent and multi-agent frameworks, manage containerized services, follow release processes, and document systems. The role requires strong Python expertise, extensive cloud and Kubernetes experience, infrastructure-as-code knowledge, and familiarity with generative AI and LLMs.

Designs and leads automated and system-level testing for a large-scale distributed database engine. Responsibilities include developing test plans, regression suites, workload and performance testing, CI/QA infrastructure, debugging query behavior, analyzing bottlenecks, improving test coverage, and validating scalability and correctness. The role collaborates with development and leadership teams, supports escalated issues, owns database testing infrastructure, and mentors junior engineers.

Designs and leads automated and manual testing for a complex browser-based UI. Responsibilities include Playwright-based end-to-end automation, regression, accessibility, responsive and performance testing, backend/API/SQL validation, flaky test diagnosis, CI integration, design review, release sign-off, issue investigation, test strategy, and mentoring junior engineers.

Embed with service teams to define SLIs/SLOs and error budgets, run Operational Readiness Reviews, improve incident-to-improvement pipelines, advise on resilience and architecture, reduce operational toil through automation, and shape org-wide on-call practices and operational maturity.

Software Engineering Intern working on backend features and services for production systems. Responsibilities include writing clean, testable code, debugging complex issues, understanding existing codebases, and learning new tools and infrastructure. The role offers mentorship, exposure to cloud and backend technologies, and opportunities to develop system design and engineering skills.

Lead cloud and platform architecture for scalable AI and SaaS systems. Design AWS multi-region infrastructure, HA/DR environments, Kubernetes clusters, networking, storage, and Infrastructure-as-Code. Bridge application engineering and infrastructure by reviewing architectures, improving backend performance, building platform tooling, mentoring engineers, and enabling cloud-native reliability. Own observability, incident response, root-cause analysis, and deployment automation while supporting security scanning and compliance alignment.

Develops software, configures and deploys systems, administers Linux and cloud infrastructure, manages containers and CI/CD pipelines, integrates applications and APIs, and troubleshoots issues across application, database, network, and infrastructure layers. The engineer owns technical solutions from investigation through deployment and verification, automates operational tasks, documents systems, and collaborates directly with technical and non-technical stakeholders.

Build, deploy, and maintain full-stack applications using React and Node.js. Develop RESTful APIs and GraphQL services, design scalable architectures, optimize AWS-hosted applications, troubleshoot issues across the stack, and collaborate with product, design, and engineering teams. The role requires writing clean, maintainable, testable code and using AI tools effectively in daily development.

Build responsive web applications and scalable frontend/backend services, design secure APIs and databases, implement AI-powered search and asset management features, collaborate on system architecture, and optimize performance and UX for a cloud-native DAM platform.

Lead and scale distributed engineering teams, drive technical best practices, manage project timelines and risks, oversee hiring and career development, and ensure scalable, secure, maintainable architectures while collaborating with product and stakeholders.

Build and maintain full-stack features for secure, high-volume fintech and cryptocurrency transactions. Develop Golang and Java backend services, Node.js and TypeScript APIs, and React/Next.js applications. Integrate third-party systems, implement OAuth 2.0 authentication, work with microservices, and ensure security, performance, reliability, and observability. Contribute to architecture discussions, code reviews, technical documentation, and end-to-end feature ownership in a fully remote environment.

Design, build, and operate Supabase’s multi-region compute platform, including provisioning, orchestration, autoscaling, warm pools, resource optimization, observability, and reliability improvements. The role involves operating large Kubernetes clusters, improving infrastructure automation and architecture, responding to incidents, participating in on-call rotations, and resolving systemic platform issues. Strong Go and TypeScript skills, AWS experience, distributed systems knowledge, and cloud infrastructure expertise are required.

Develop and maintain headless eCommerce storefronts using Next.js and Salesforce Commerce Cloud, integrate with SFCC APIs and third-party services, build responsive SEO-friendly web apps, collaborate with UX/backend/QA, and optimize storefront performance.

Owns highly available AWS and EKS platforms, CI/CD pipelines, infrastructure as code, observability, incident response, reliability engineering, and security operations. The role designs resilient cloud environments, manages Kubernetes and Docker workloads, automates delivery and operations, leads major-incident response, establishes SLOs, and coordinates vulnerability remediation. It also mentors engineers and improves production readiness, disaster recovery, and operational efficiency.

Own the product’s engineering end to end as the sole initial engineer. Build and operate the AI coaching system, including prompting, conversation state, retrieval, model evaluation, moderation, and crisis safety mechanisms. Develop the Python backend, React Native mobile apps, React website, subscriptions, infrastructure, CI/CD, monitoring, and releases. Translate technical decisions for a nontechnical founder and clinical team while maintaining strong privacy, security, product quality, and responsible AI practices.

Develop and maintain automated API, integration, regression, performance, and database tests for anti-financial-crime systems. Validate data reconciliation, process flows, error handling, retries, and end-to-end integrations. Review requirements and designs, manage test data, integrate automation with CI/CD pipelines, support user acceptance testing, and provide production validation. The role requires strong Python, SQL, API automation, debugging, and Agile delivery skills, with Fenergo, KYC, AWS, and Pytest experience preferred.

Perform functional, integration, regression, and end-to-end testing for data and AI/ML applications. Validate data quality, transformations, ETL/ELT pipelines, model predictions, and data integrity using SQL and Python. Design test cases, automate testing, track defects, and collaborate with data engineers, data scientists, ML engineers, and development teams. Test model accuracy, performance, consistency, and reliability while supporting API, CI/CD, and data platform testing.

Build and operate reliable AWS infrastructure and Kubernetes environments across production systems. Responsibilities include Terraform automation, CI/CD with GitHub Actions, Helm and Argo CD deployments, Docker management, observability, AWS networking, messaging and database infrastructure support, frontend delivery, scripting, incident response, and postmortems. The role emphasizes ownership, automation, production debugging, reliability engineering, and SLO, SLI, and error-budget practices.

Lead enterprise GIS architecture, delivery, migration, and integration for utility, telecom, and gas clients using GE Smallworld and ESRI platforms. Design scalable GIS solutions, migrate data to ESRI Utility Network, integrate GIS with enterprise systems, and provide technical leadership, governance, mentoring, and client engagement. Manage project scope, resources, risks, timelines, and deliverables while guiding development quality, infrastructure, security, DevOps, and continuous improvement initiatives.

Build and maintain scalable backend services in Python and Go. Design distributed systems for performance, reliability, and scale; develop APIs, microservices, and cloud-native applications; collaborate with ML, infrastructure, and frontend teams; participate in code reviews and architectural planning; and solve complex systems problems.

Own and develop production payment orchestration services covering payment flows, routing, recovery, partner connectors, tokenization, webhooks, and reconciliation. Ensure correctness, reliability, security, and observability in distributed systems. Participate in on-call, incident management, CI/CD, AWS infrastructure improvements, technical design, code reviews, mentoring, and cross-functional delivery. The role involves modernizing Java and Spring Boot services while supporting enterprise payment integrations.

Designs, develops, and maintains automated tests for web, mobile, and API applications. Responsibilities include defect tracking, regression and performance testing, framework optimization, CI/CD integration, Agile collaboration, and contributing to QA strategy. The role owns product quality across complex fintech workflows and requires expertise with modern automation frameworks, programming languages, API testing tools, and test management platforms.

Design, build, and operate distributed platform services and APIs using TypeScript and Go. Improve scalability, reliability, observability, and cost efficiency; develop data-intensive workflows and event-driven pipelines; manage SLIs/SLOs, incident response, CI/CD, and production releases. Partner with product teams on end-to-end delivery, write design documents and tests, and participate in on-call rotations for large-scale systems.

Designs and operates cloud foundations across AWS and GCP, including governance, identity, access controls, infrastructure as code, security primitives, networking, resource inventory, billing visibility, and self-service tooling. The role combines production software engineering, hands-on operations, monitoring, troubleshooting, documentation, and on-call ownership while enabling engineering teams to provision infrastructure safely and independently.