Top AWS Jobs in Bangalore

Architect and evolve enterprise test automation frameworks and infrastructure, lead migration to modern testing platforms, implement AI-assisted testing workflows, automate web and API tests using Playwright with C#/.NET, validate data via SQL, build ephemeral containerized test environments, integrate CI/CD, mentor SDET teams, and drive shift-left and distributed test execution strategies.

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.

As a Sr. Lead Software Engineer, you will design, develop, and support full-stack solutions, lead tech projects, and mentor a team while implementing complex software and troubleshooting issues.

Design, deploy, manage, and optimize multi-cloud (AWS/Azure/GCP) infrastructure. Build and maintain CI/CD pipelines, implement IaC (Terraform), enforce cloud security, monitor platforms, perform incident management, and collaborate with DevOps, Security, and Engineering teams to scale and automate cloud operations.

Lead the Use & Accounts engineering team, defining technical strategy, enhancing customer console experience, ensuring system stability, and managing team performance.

Lead and manage the Security Products engineering team, driving technical roadmap, ensuring quality, and fostering team growth. Oversee product delivery and security 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.

Build data-driven solutions and BI using Python, Power BI, and SQL. Implement DevOps pipelines with GitHub Actions/Azure DevOps, deploy on Azure/AWS, integrate APIs, apply unit testing and automation, and collaborate in Agile/Scrum with global teams. Support solution design, effort estimates, and use ML/DL/LLMs for intelligent features.

Design, deploy, and maintain scalable, highly available cloud infrastructure across AWS and GCP. Manage Terraform IaC, build automation with Python, improve CI/CD (GitHub Actions), monitor systems, participate in on-call, mentor engineers, and collaborate with security, networking, and development teams.

Design, build, and maintain scalable test automation frameworks; develop and run frontend UI and backend API automated tests; validate results against databases; integrate tests into CI/CD; mentor QA engineers; document test plans and track defects to ensure high product quality.

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.

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.

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.