Top AWS Jobs in Bangalore

Lead the design, automation, and operation of highly available AWS infrastructure and cloud-native platforms. Build CI/CD pipelines, Infrastructure as Code, reusable self-service tooling, and production engineering practices. Troubleshoot Linux, networking, application, and deployment issues; participate in on-call support and root-cause analysis. Partner with software teams to improve reliability, scalability, security, performance, and developer experience while documenting architectures and operational procedures.

Designs and operates secure, scalable AWS enterprise platforms using Control Tower, Landing Zones, Organizations, governance controls, networking, identity, infrastructure as code, automation, CI/CD, monitoring, and container services. The role establishes multi-account operating models, troubleshoots complex cloud environments, improves reliability and cost efficiency, and partners with engineering, security, networking, DevOps, and application teams to deliver governed cloud solutions.

Leads architecture and development of Azure Chaos Studio, a large-scale cloud platform for resilience testing and fault injection. Responsibilities include designing secure, scalable, performant distributed systems; improving responsible AI practices; mentoring engineers; leading testing and security efforts; integrating partner services; maintaining code quality; and supporting live services through on-call operations and incident resolution.

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.

Build and operate a highly available AWS email gateway platform using infrastructure as code, ECS Fargate, private networking, CI/CD, security controls, observability, and autoscaling. The role owns IAM, encryption, secrets, monitoring, alerting, operational recovery, and FinOps tagging; leads DevOps technical decisions, collaborates with security and network teams, mentors engineers, and creates production runbooks.

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.

Build and maintain production-ready Java full-stack software using AI-native engineering practices. Lead architecture, design, implementation, testing, debugging, and code reviews for scalable web services and distributed systems. Drive cloud, DevOps, and AI modernization initiatives across AWS and Azure, improve software quality, mentor developers, and collaborate with cross-functional teams. The role requires translating AI innovation into business impact while supporting mission-critical SaaS products and customer technical needs.

Build and ship production-ready full-stack enterprise software using AI-native development practices. Develop Java-based front-end and back-end components, integrate AI services and APIs, implement RAG features, and use LLM-powered coding tools for development, testing, debugging, and documentation. Ensure scalable, compliant, high-quality delivery while collaborating with architects and AI specialists.

Build and ship production-ready AI-native software using Java full-stack development. Responsibilities include designing, implementing, testing, debugging, and maintaining scalable web services and distributed systems; leading architecture and code reviews; improving system quality; supporting cloud, DevOps, and AI modernization initiatives; and mentoring engineers. The role requires collaboration across technical and business teams, strong communication, independent decision-making, and the ability to translate AI innovation into business impact.

Design and deliver enterprise-grade full-stack applications using Java and AI-assisted development tools. Define scalable architectures, integrate AgentAI copilots, LLM-based services, RAG, conversational APIs, and cloud-native technologies. Lead front-end and back-end design, API and data-flow optimization, governance, security, performance, and responsible AI practices. Act as a bridge between traditional engineering teams and AI-native specialists while improving software development productivity without training ML models or owning MLOps.

Lead architecture and deployment of AI workflows across enterprise and cloud platforms. Define technical designs, drive architectural governance and platform convergence, guide modernization initiatives, and improve system reliability, scalability, and security. Mentor engineers, conduct design sessions and code reviews, collaborate with product and engineering stakeholders, and translate AI capabilities into business impact. The role requires extensive .NET full-stack development, cloud, DevOps, microservices, REST APIs, and multi-cloud experience.

Leads software architecture and engineering initiatives involving AI workflows, cloud platforms, microservices, and full-stack .NET development. Responsibilities include defining technical designs, driving architectural governance, improving system reliability and scalability, mentoring developers, conducting code reviews, and guiding cloud, DevOps, and AI modernization efforts. The role requires collaboration with product managers, engineering teams, stakeholders, and executive leadership to deliver secure, scalable software and translate AI innovation into business impact.

Lead the design, deployment, and delivery of AI-enabled SaaS solutions across enterprise technology platforms. Provide technical leadership, architecture guidance, project oversight, mentorship, stakeholder collaboration, and innovation. Develop .NET full-stack applications and manage cloud, DevOps, CI/CD, containerization, infrastructure as code, databases, security, and AI modernization initiatives. Drive product vision and make technical decisions across business, product, architecture, and implementation levels.

Build and ship production-ready full-stack enterprise applications using AI-assisted development tools. Develop Java or other backend services, frontend components, integrations, APIs, and RAG-based features while applying software engineering, quality, compliance, cloud-native, and CI/CD best practices. Collaborate with architects and AI specialists to accelerate delivery and continuously improve development processes.

Design and deliver enterprise-grade full-stack applications using AI copilots, pre-built AI services, and APIs. Define scalable architectures, integrate RAG and conversational capabilities, optimize front-end and back-end systems, and promote AI-assisted development practices. Ensure compliance, security, performance, reliability, and responsible AI governance. The role requires extensive Java full-stack experience and focuses on AI integration and productivity rather than model training or MLOps.

Lead the design, development, and deployment of AI-enabled SaaS solutions across enterprise technology platforms. Provide technical leadership, architecture guidance, project oversight, mentorship, and stakeholder collaboration. Drive cloud, DevOps, AI modernization, CI/CD, containerization, infrastructure as code, security, and database initiatives while translating AI innovation into business impact.

Build and deploy production-ready full-stack applications using Java, .NET, and Python across AWS, Azure, and Google Cloud. Develop front-end solutions with React or Angular, integrate APIs, microservices, event-driven systems, and practical AI capabilities, and support containerization, infrastructure as code, CI/CD, security, and performance optimization. Collaborate with architects, developers, product managers, and infrastructure teams while contributing to solution design, coding, testing, mentoring, and continuous improvement.