Top AWS Jobs in Bengaluru

Develop secure, high-performance Java and Kotlin backend services, REST APIs, and microservices for banking payments, transactions, and compliance workflows. Integrate AI and GenAI capabilities using LLMs, RAG, and prompt engineering. Design optimized SQL data models for high-volume transaction systems while maintaining banking security and data protection compliance. Use Spring Boot, Docker, Kubernetes, CI/CD, and cloud platforms including AWS and Azure.

Design, develop, and maintain full-stack web applications using Java, Spring Boot, modern JavaScript frameworks, RESTful APIs, and databases. Build responsive user interfaces, integrate frontend and backend services, optimize application performance and scalability, implement automated testing and CI/CD pipelines, troubleshoot issues across the stack, and collaborate with UX, product, and cross-functional Agile teams.

Leads organization-wide performance engineering for a cloud-native SaaS platform. Responsibilities include building self-service and AI-driven performance platforms, designing large-scale tests for serverless and distributed systems, integrating testing into CI/CD, analyzing bottlenecks, establishing benchmarks and SLOs, optimizing cloud costs, leading capacity planning, improving observability, and influencing architecture across engineering and SRE teams. The role also mentors engineers and drives a performance-focused culture.

Designs and executes performance testing for cloud management platforms and serverless applications. Responsibilities include developing test plans and scripts, monitoring AWS and other serverless environments, identifying bottlenecks, optimizing scalability and costs, integrating tests into CI/CD pipelines, building performance dashboards, and supporting capacity planning. The role requires collaboration with development and SRE teams, troubleshooting serverless performance issues, and expertise in load testing, cloud infrastructure, scripting, monitoring, and performance tuning.

Build and deploy AI-powered full-stack web applications using React, Next.js, TypeScript, and Node.js. Design REST and GraphQL APIs, authentication systems, databases, multi-tenant SaaS architectures, real-time workflows, and LLM/RAG features. Own features from technical design through production, optimize reliability and performance, troubleshoot issues, and collaborate with Product, Design, AI, and Engineering teams.

Design, automate, monitor, and optimize AWS cloud infrastructure and SaaS applications for reliability, scalability, and performance. Responsibilities include on-call incident response, disaster recovery, chaos engineering, troubleshooting, post-mortem analysis, and promoting SRE best practices across teams.

Deploys and maintains AI voice-agent solutions in customer environments. Responsibilities include designing integrations, building APIs and monitoring infrastructure, diagnosing production issues across distributed systems and LLM workflows, optimizing performance, translating business needs into deployment plans, and documenting troubleshooting practices. The role also requires close customer collaboration and clear communication with technical and non-technical stakeholders.

Own the Graph Platform end to end, including knowledge graphs, databases, model repositories, inferencing pipelines, indexing, reliability, scalability, and cloud costs. Design long-term architecture, operate data-intensive systems at scale, resolve production issues, establish observability and rollback practices, collaborate with product and SRE teams, and mentor engineers.

Own end-to-end enterprise customer deployments of Zamp’s platform across customer-controlled infrastructure. Design Kubernetes architectures, configure and troubleshoot Helm releases, manage upgrades, scaling, incidents, observability, security, and deployment supply chains, including air-gapped environments. Partner with customer platform, security, and DevOps teams while developing reusable automation, validation tools, runbooks, and operational standards. Collaborate with Engineering, Product, Sales, and Customer Success to turn customer requirements into reliable deployment plans and platform improvements.

Design, build, and own frontend features for the Voyager desktop app and Aerospike Cloud. Architect scalable frontends and a reusable component library, integrate APIs and LLM/agentic capabilities, optimize performance and accessibility, implement automated testing, and collaborate with design, product, and QA to ship reliable cross-platform desktop and web experiences.

Responsible for ensuring the quality, reliability, performance, and usability of web applications, APIs, enterprise platforms, microservices, and AI-powered products. Duties include manual and functional testing, test planning, automation framework development, API and backend validation, regression and integration testing, performance testing, defect management, root-cause analysis, release validation, and production quality monitoring. The role collaborates with Engineering, AI, Product, and Platform teams throughout the software development lifecycle.

Develop and maintain full-stack applications using ReactJS and NestJS or Spring Boot. Build responsive user interfaces, server-side logic, APIs, microservices, and database integrations. Participate in planning, coding, testing, deployment, debugging, and software upgrades. Collaborate with designers and cross-functional teams to deliver scalable features, ensure platform compatibility, and apply modern development practices.

Build and maintain full-stack web services powering the company website and related tooling. Responsibilities include developing APIs, integrating third-party systems and webhooks, improving performance and reliability, writing tests, supporting CI/CD, and implementing monitoring, logging, and alerting. The role owns changes from implementation through deployment and monitoring while collaborating with front-end developers and engineers.

Drive the infrastructure strategy for AI platform, leading a DevOps team for critical systems in regulated environments, focusing on cloud, Kubernetes, observability, and security operations.

Lead design and development of SaaS backend data path components for the Nirmata Policy Management cloud solution. Drive architecture, implement scalable data processing subsystems, integrate AI/ML features, collaborate with cross-functional teams, own code quality and reviews, and ensure platform scalability and performance for enterprise customers.

As the Founding Cloud Infrastructure Engineer, you'll design secure cloud infrastructures using AWS/Azure/GCP, support distributed AI workloads, manage GPU resources, and collaborate on ML initiatives.

Design, build, and maintain high-performance, low-latency distributed backend systems and microservices. Implement RESTful APIs, data stores, messaging, and monitoring. Drive architecture, CI/CD, cloud operations, code reviews, mentoring, and scaling to support hundreds of millions of users.

Build and maintain production-grade full-stack web applications using Node.js, Express.js, React.js, Next.js, and AWS. Design payment, billing, invoicing, subscription, refund, and reconciliation workflows; develop secure APIs and transactional data models; improve repositories and Git workflows; support deployments, monitoring, debugging, refactoring, documentation, and architectural discussions. Collaborate with distributed product, design, QA, and business teams while using AI-powered development tools to accelerate delivery and resolve issues.

Develop and maintain production-grade full-stack web applications using Node.js, Express.js, React.js, Next.js, and AWS. Build payment, billing, invoicing, subscription, refund, and reconciliation workflows with secure APIs and transactional data models. Manage Git branching, code quality, documentation, deployments, monitoring, and issue resolution. Collaborate with product, design, QA, and business teams in a remote Agile environment while using AI development tools to accelerate coding, debugging, refactoring, and testing.

Lead design, develop, and deploy secure, scalable, cloud-agnostic backend systems powering generative/agentic AI legal workflows. Define architecture, enforce code quality, mentor engineers, and collaborate cross-functionally to deliver enterprise-grade AI products while meeting security and compliance requirements.

Design, build, and maintain scalable backend services and APIs for a voice/AI dialogue platform. Optimize schemas and queries, ensure observability and reliability, resolve scaling/latency issues, integrate models into production, enforce security and best practices, and collaborate across product, frontend, and DevOps teams.

Lead backend engineering for Document Intelligence and Vision APIs: architect for low latency and high throughput, scale services, build observability and security foundations, manage infra and deployments, improve developer experience, mentor engineers, and define CI/CD and inference-serving strategies.

Build and optimize scalable Next.js and TypeScript web applications, create reusable components, integrate RESTful APIs, ensure performance, accessibility, and cross-browser compatibility, maintain quality through testing and code reviews, and collaborate with designers, backend engineers, and AI teams using monitoring, analytics, and A/B testing.

Drive automation, deployment, reliability, and operational excellence for a large-scale cloud platform. Design and manage secure, highly available cloud infrastructure (primarily Azure), build and maintain CI/CD pipelines, implement IaC with Terraform, lead incident response and root cause analysis, enforce security and SOC2 controls, mentor DevOps engineers, and collaborate with cross-functional teams to improve platform automation and reliability in a 24x7 production environment.

As a Forward Deployed Engineer, you will design, build, and deploy AI agents, integrating them with external systems, optimizing performance, and advising customers on AI architecture and scalability.