Top AWS Jobs in Bangalore

Build and maintain automated build, release, testing, and continuous delivery infrastructure. Develop internal tools and automation, improve CI systems, collaborate with Development, QA, and Operations, evaluate AWS technologies, and lead rollout of projects and processes. The role focuses on scaling infrastructure, reducing test execution time, supporting frequent high-quality releases, and gathering internal customer feedback.

Leads the design, development, testing, and maintenance of secure enterprise applications and scalable backend services. Collaborates on architecture, API lifecycle management, DevOps, QA, production support, and root-cause analysis. Manages and mentors engineering teams, enforces coding and security standards, and applies AI tools and frameworks to improve software development productivity. The role requires extensive backend development experience with .NET or Java, cloud-native platforms, databases, Kafka, microservices, and CI/CD practices.

Design, develop, deploy, and maintain full-stack software solutions using .NET and Angular or React. Responsibilities include architecture, REST and SOA development, code and design reviews, quality standards, Azure-based solutions, testing, CI/CD, stakeholder collaboration, and delivery of complex projects across the software development lifecycle.

Own complex escalated customer issues involving software, cloud, and infrastructure. Perform deep troubleshooting, log and telemetry analysis, memory dump and crash analysis, performance diagnostics, issue reproduction, scripting, and automation. Collaborate with R&D on defect resolution and code fixes, improve observability and processes, and document technical findings. The role supports AWS, Azure, Windows, macOS, Linux, and distributed systems, with possible on-call duties and light travel.

Own and evolve AWS infrastructure, including EKS Kubernetes clusters, infrastructure as code, networking, IAM, service mesh, observability, and GitOps workflows. Partner with development teams to enable self-service infrastructure, improve reliability and security, optimize costs, troubleshoot production issues, and maintain architectural documentation and runbooks. Participate in on-call rotations and incident response while driving continuous infrastructure improvement.

Maintains high availability for cloud-native security infrastructure across production environments and global points of presence. Leads incident response, troubleshooting, post-incident reviews, alert tuning, observability, automation, maintenance, vulnerability patching, and on-call support. Builds internal tooling and AI-assisted operational workflows using Python or Go, manages runbooks, and partners with engineering and product teams. Requires AWS, Kubernetes, Linux, monitoring, CI/CD, infrastructure as code, networking, and distributed-systems troubleshooting expertise.

Develop responsive web interfaces using JavaScript or TypeScript frameworks such as React or Angular. Build reusable UI components, integrate REST APIs, troubleshoot browser and performance issues, write automated tests, and collaborate with UX, backend, QA, and product teams. The role also offers opportunities to contribute to backend development, apply security and accessibility practices, and participate in code reviews and engineering discussions.

Leads engineering delivery for promotions and loyalty platforms, overseeing software development, QA, engineering operations, delivery quality, timelines, KPIs, risk, and compliance. Manages multidisciplinary teams, develops talent, engages global clients and stakeholders, supports solutioning and pre-sales, leads architecture and estimation, and identifies account growth opportunities.

Develop and maintain responsive web interfaces using JavaScript or TypeScript frameworks such as React or Angular. Integrate front-end components with REST APIs, write testable code, troubleshoot UI and integration issues, participate in code reviews and automation, and collaborate with UX, backend, QA, and product teams. The role may also contribute to backend development and requires a willingness to learn modern engineering, security, accessibility, and Agile practices.

Owns and engineers JLL’s global GCP platform, including landing zones, organization structure, IAM, networking, governance, security, automation, and application infrastructure. The role manages the platform as a product, builds reusable Terraform-based infrastructure, establishes CI/CD and GitOps practices, supports AI/ML workloads, and partners with security, GRC, architecture, and regional teams. Responsibilities include platform administration, roadmap ownership, stakeholder engagement, request resolution, policy development, and operationalization across AMER, EMEA, and APAC.

Lead software architecture and engineering direction for AI-native, production-ready applications. Collaborate across teams on technical designs, architectural governance, platform convergence, reliability, scalability, and modernization. Mentor developers, conduct code reviews, guide cloud, DevOps, and AI initiatives, and translate AI capabilities into business value. The role requires expertise in .NET full-stack development, modern programming languages, microservices, REST APIs, cloud platforms, infrastructure as code, security architecture, and LLM-enabled engineering practices.

Lead architectural direction for AI-native, production-ready software systems. Collaborate with product and engineering teams on technical designs, governance, platform convergence, reliability, scalability, and feature delivery. Mentor developers, conduct design sessions and code reviews, drive cloud, DevOps, and AI modernization initiatives, and translate AI capabilities into business impact. The role requires extensive .NET full-stack and software architecture experience, plus expertise in modern programming languages, microservices, REST APIs, multi-cloud environments, security protocols, and engineering toolchains.

Build and ship production-ready AI-enabled SaaS software using .NET full-stack development. Provide technical leadership, architecture, project oversight, mentorship, and stakeholder collaboration. Design and maintain cloud-native applications using AWS or other cloud platforms, CI/CD, containers, infrastructure as code, databases, and security best practices. Drive AI modernization, LLM adoption, innovation, and product delivery while making technical and strategic decisions.

Lead and develop production-ready SaaS software using AI-native engineering practices. Provide technical direction, architecture, project oversight, mentorship, and stakeholder collaboration. Build and maintain .NET full-stack applications, cloud infrastructure, CI/CD pipelines, containerized services, and infrastructure-as-code solutions. Drive AI modernization, automation, and LLM adoption while ensuring quality, security, compliance, and delivery of product vision.

Build and maintain production-ready Java full-stack software using AI-native engineering practices. Responsibilities include designing scalable web services, implementing and testing software, improving code quality, debugging distributed systems, conducting architecture and code reviews, supporting customers, and mentoring developers. The role requires cloud, DevOps, CI/CD, big data, security, and AI/LLM knowledge, along with leadership across complex technical projects and cross-functional teams.

Build and maintain production-ready Java full-stack software using AI-native engineering practices. Lead architecture, design, implementation, testing, debugging, and support of scalable distributed systems and web services. Improve existing codebases, establish quality practices, conduct reviews, explore emerging technologies, and mentor developers. Collaborate across technical, product, customer support, and cross-functional teams while driving cloud, DevOps, AI modernization, and business-impact initiatives.

Build and ship production-ready AI-enabled software using Java full-stack development. Lead architecture, design, implementation, testing, debugging, and maintenance of scalable web services and distributed systems. Drive cloud, DevOps, AI modernization, and engineering quality initiatives across AWS or Azure environments. Mentor developers, conduct architecture and code reviews, support customers, and collaborate cross-functionally to deliver reliable SaaS products and translate AI innovation into business impact.

Build and ship production-ready enterprise software using AI-assisted development tools. Develop integrated front-end and back-end components, incorporate AI services and APIs, implement RAG features, and maintain scalable, high-quality solutions. Collaborate with architects and AI specialists while applying software engineering, SDLC, cloud-native, and CI/CD best practices. The role requires Java full-stack expertise, practical AI knowledge focused on integration, and at least 7.5 years of experience.

Design, build, test, and deploy cloud application and platform solutions integrating cloud and non-cloud infrastructure. Collaborate across teams on architecture, security, performance, proofs of concept, and infrastructure deployment. Serve as a subject matter expert, guide team decisions, share knowledge, and monitor deployed solutions. Optimize cloud applications for performance and cost using AWS AI Services, infrastructure as code, containers, and orchestration technologies.

Lead engineering delivery for Promotions and Loyalty Services platforms, overseeing software development, QA, engineering operations, quality, performance, timelines, KPIs, and risk. Manage multidisciplinary teams, develop talent, engage global clients and stakeholders, support solution design and pre-sales, and drive scoping, estimation, account growth, and trusted-advisor relationships. The role also owns technology and delivery decisions, capability building, utilization, compliance, and leadership communication.

Develop and test full-stack software solutions for automotive applications in an agile team. Build Java backend services and React web interfaces, integrate databases and REST APIs, and support AWS cloud-native development. Contribute to CI/CD, automation, deployment improvements, technical requirements analysis, and collaboration with architects, product owners, QA, and other stakeholders.

Design, develop, and operate cloud-native backend services in Go that support financial risk steering and decision-making. Build ML-powered systems with data scientists and ML engineers, develop distributed and event-driven architectures, operate microservices at scale, and contribute to code reviews, documentation, and knowledge sharing. Collaborate closely with Risk, Engineering, and Data Science teams to deliver resilient production solutions.

Designs and develops software by translating user requirements into technical designs, implementing features, performing unit testing, participating in peer reviews, and supporting estimation, planning, risk management, and partner communication. The role requires expertise in C# and .NET, object-oriented design, design patterns, Angular, microservices, AWS, and Agile/SAFe methodologies.

Build and expand Greenlight’s web experiences while contributing to backend services. Establish web development standards, libraries, and best practices; mentor developers; collaborate with product, design, and domain teams; improve platform scalability, reliability, availability, performance, and observability; and balance feature delivery with technical debt.

Design, develop, and maintain scalable full-stack applications using .NET, C#, React, APIs, microservices, and SQL or NoSQL databases. Collaborate with product, architecture, and QA teams; participate in code reviews; troubleshoot and optimize performance; support CI/CD, DevOps, deployments, and production fixes. Mentor junior engineers, oversee team tasks, and contribute to secure, maintainable, and scalable software solutions.