Top AWS Jobs in Bangalore

Lead QA strategy and roadmap for AI and SaaS platforms. Design and implement scalable automation frameworks, validate AI/ML workflows, perform performance/security/regression testing, ensure end-to-end coverage across microservices, APIs, mobile and web in multi-tenant cloud, and document QA processes while partnering with engineering and data science teams.

Lead design and execution of end-to-end telecom data migrations and integrations. Build ETL pipelines, data models, validation, and performance tuning. Design scalable API/microservice solutions, leverage cloud, Kubernetes, CI/CD and AI/AIOps, ensure data quality and compliance, and support deployments across OSS/BSS ecosystems.

Collaborate with teams to gather technical requirements, design features, write production-ready code, and manage ML lifecycle in a consulting environment.

Lead Windows-to-cloud migrations for diverse workloads: develop and run test plans, validate functionality, externalize configuration, troubleshoot platform and network issues, create scripts/runbooks, and coach application teams to operate reliably in AWS.

Lead and grow an engineering team building a distributed, cloud-capable platform for AI apps on MongoDB. Drive architecture, deliver scalable reliable systems, manage planning, operations, hiring, and cross-team collaboration while mentoring engineers and owning feature delivery and production maintenance.

Designs, develops, tests, documents, and supports enterprise integrations using the Boomi AtomSphere platform. The role gathers customer requirements, translates business needs into technical designs, configures high-availability and disaster-recovery runtimes, applies integration best practices, and advises stakeholders. Responsibilities also include project planning, risk management, architecture compliance, customer presentations, technical analysis, and collaboration with application and operations teams. Supports clients globally and contributes to AI Agent Studio development.

Build scalable, accessible Vue.js UI components and full-stack features; develop and maintain Go microservices and REST/gRPC APIs; implement CI/CD and Kubernetes deployments; add Playwright test coverage and observability with DataDog/Grafana; participate in code reviews, on-call rotations, and cross-functional delivery. Leverage AI tooling to improve developer workflows and product velocity.

Lead design and implementation of AI Ops platform and cloud-based software solutions (AWS/GCP). Develop and maintain code (Golang, Python, Java), IaC, LLM/agent integrations, APIs/GraphQL, and automation. Mentor developers, create technical documentation and architecture diagrams, collaborate with QA and stakeholders, troubleshoot automation/operations issues, and drive continuous improvement.

Lead an agile engineering team to design, build, and operate secure, scalable Java full‑stack applications using React/TypeScript and cloud platforms. Drive code quality, automation, AI-assisted engineering adoption, architecture evaluations, and operational stability while mentoring engineers and leading engineering communities of practice.

Design, build, and maintain scalable backend microservices and APIs; own service domains for reliability and performance; collaborate with product and game teams; optimize infrastructure costs; reduce technical debt via refactoring and automation; ensure observability, security, and compliance; run performance profiling and load testing.

Build and maintain CI/CD pipelines, cloud infrastructure, and deployment automation. Ensure reliability, scalability, observability, and operational excellence. Partner with engineers, participate in on-call rotations, troubleshoot incidents, maintain runbooks, and improve developer workflows and cost-efficiency.

Lead design, build, and operation of scalable multi-cloud and hybrid infrastructure and Kubernetes platforms. Own observability (Prometheus, Grafana, Datadog), define SLI/SLOs, run incident response and chaos engineering, automate provisioning and remediation, harden CI/CD and secrets management, and promote SRE practices across studios.

Lead technical design, develop secure high-quality production code, improve operational stability through automation, drive adoption of DevOps, Kubernetes, and cloud practices, evaluate vendor/architectures, and coach teams on safe, validated use of AI-assisted engineering tools.

Lead architecture and technical strategy for account management primitives (Teams, Organizations, Projects, Tags). Design hyperscale, multi-region systems, integrate across Identity, Billing, and AI/ML platforms, set engineering standards, mentor senior engineers, and communicate platform investment and risk to executive leadership.

Lead design and implementation of high-throughput, cloud-native account and user systems (Teams, Organizations, Projects, Tags). Own architecture, scalability, reliability, incident response, and sustaining engineering. Collaborate with Product and Design, mentor engineers, and apply cloud security and Infrastructure-as-Code practices (Terraform, Helm, Chef) to harden account-management services.

The Sr Data Engineer I will lead technical consulting for clients, configure the elluminate platform, develop SQL code, manage projects, and provide analytics and training support.

Lead backend engineering efforts to design, implement, and deliver cloud-native, microservices-based systems. Provide technical leadership, own project delivery, improve engineering practices, collaborate across teams, and innovate with data and AI-driven solutions.

As a Senior Software Engineer, you will build and maintain data infrastructure, develop ETL processes, and collaborate with teams to design data products.

The Senior Backend Engineer will design and develop a distributed systems CRM platform, focusing on high-performance mobile communication services and marketing automation solutions, while ensuring quality through rigorous reviews and unit tests.

The Lead Software Engineer will develop, maintain, and optimize data infrastructure, ensuring data quality and collaborating with various teams to support complex data analyses and product development.

Design, build, and own core backend infrastructure and microservices that support ML, frontend, and platform teams. Implement distributed config, rate limiting, feature flags, A/B testing, and traffic capture/replay. Improve performance, scalability, and observability of cloud infrastructure; deliver deadline-sensitive, interdependent work and influence the infrastructure roadmap.

Design, build, and operate platforms and backend systems at Rubrik. Own Kubernetes, develop distributed services, and collaborate with engineering teams.

Lead full-stack engineering across distributed microservices: design, develop, test, deploy and support solutions. Drive serverless and container initiatives, improve build/deployment pipelines, mentor engineers, debug cross-stack issues, and lead strategic technical projects.

Lead reliability architecture and operational foundations for a multi-cloud, multi-region AI platform. Own Kubernetes fleet, networking, observability, tenant isolation, capacity planning, incident response, SLOs, on-call rotation, and mentor the SRE team while collaborating across engineering teams.

Lead technical architecture and end-to-end design for real-time, high-availability software systems. Select technologies, enforce SDLC standards, mentor engineers, define CI/CD and observability, address technical debt, collaborate with stakeholders, and produce technical documentation.