Top AWS Jobs in Bangalore

Build and operate reliable, highly available cloud infrastructure across AWS and GCP. Develop observability, monitoring, automation, disaster recovery, Kubernetes, GitOps, and Terraform solutions. Participate in incident response and on-call rotations, define SLI/SLO practices, reduce operational toil through Python or Go, and improve resilience, cost visibility, and production maturity across microservices.

Architects and operates highly available, multi-region cloud infrastructure, Kubernetes platforms, microservices, and authentication systems. Leads disaster recovery, failover automation, observability, SLOs, incident response, FinOps, infrastructure-as-code, and reliability improvements. Develops automation in Python or Go, manages GitOps deployments, mentors engineers, authors technical documentation, and participates in on-call rotations.

Leads ServiceNow Discovery and Service Mapping implementation, configuration, optimization, and troubleshooting. Maintains MID Servers, CMDB accuracy, CI relationships, discovery patterns, integrations, and cloud discovery across AWS and Azure. Develops scripts, APIs, and automation; supports ITOM modules, service maps, governance, audits, upgrades, and operational stability. Provides technical leadership, documentation, training, and stakeholder alignment while resolving network, authentication, credential, pattern, and data-quality issues.

Lead a hands-on engineering team to build cloud-native FinOps capabilities on AWS (and GCP). Design and operate backend services, Kubernetes automation, CI/CD, and cost-management tooling to improve cost governance, efficiency, and observability while partnering with platform, application, and SRE teams.

Lead architecture and development of highly distributed, enterprise-scale cloud security systems. Establish coding, testing, observability, and CI/CD standards; guide technical decisions; and drive cross-team initiatives in performance, reliability, and technology adoption. Build Java and Go services using microservices, databases, cloud infrastructure, identity and access management, and fault-tolerant distributed systems. Apply AI/ML and agentic AI technologies to improve engineering outcomes.

Leads and grows an engineering team building a distributed systems platform for AI applications using MongoDB. Provides technical direction, owns architecture, scalability, reliability, monitoring, operations, and feature delivery across cloud and on-premises environments. Partners with product and engineering teams, manages dependencies and risks, supports hiring and career development, and contributes hands-on technical leadership to high-scale platform capabilities.

Build and maintain secure, high-performance Python backend solutions within a feature team. Responsibilities include designing, coding, testing, deploying, monitoring, and supporting REST APIs, microservices, scripts, and tools across their full lifecycle. The role involves collaborating with engineers, architects, and business analysts; optimizing engineering practices; and solving complex scalability, automation, availability, and performance challenges using FastAPI, MongoDB, AWS, Docker, CI/CD, and production support practices.

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.

Build and maintain a containerized AWS gateway service using Node.js, TypeScript, and Fastify. Develop REST APIs, legacy request and response transformations, configuration-driven mappings, secure email-provider integrations, idempotency, retries, observability, audit logging, event publishing, and tracing. Create unit, API, and contract tests, use approved AI coding tools responsibly, and support testing, deployment cutover, defect resolution, and stabilization.

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.

Build and maintain backend microservices for an EV fleet management platform, including depot charging, vehicle management, trip planning, and charge optimization. Own features through design, coding, testing, deployment, monitoring, and production release. Collaborate with Product, Support, and Quality teams, participate in code reviews, document technical decisions, and use AI-assisted development and testing tools.

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.