Top AWS Jobs in Bangalore

Provides hands-on technical leadership for enterprise applications and AI-enabled solutions. Designs full-stack systems, REST APIs, cloud-native services, reusable AI lifecycle utilities, and scalable architectures. Leads projects through development, testing, deployment, and production support while promoting DevOps, automation, security, observability, and performance practices. Mentors engineers, removes technical roadblocks, collaborates cross-functionally, and evaluates emerging technologies.

Lead DevOps and platform engineering for AWS-based SaaS products. Define delivery and operational standards, modernize applications, build CI/CD platforms with GitHub Actions and Jenkins, and manage AWS, Kubernetes, Terraform, Docker, Helm, and GitOps environments. Improve observability, security, developer experience, and deployment reliability while mentoring engineers. Drive responsible adoption of AI-assisted engineering, support AI workloads on AWS, and establish governance for AI agents operating in cloud infrastructure.

Design, build, and operate internal developer platform capabilities supporting game development teams. Responsibilities include CI/CD, infrastructure, environments, observability, shared services, distributed systems, automation, reliability, monitoring, SLIs/SLOs, on-call support, and platform strategy. The role partners with cross-functional teams to improve developer experience, resolve workflow friction, and deliver scalable solutions.

Designs, develops, tests, refactors, and maintains large-scale cloud security software. Partners with Product Management on requirements, collaborates with security, UI, platform, analytics, and QA teams, and resolves complex customer issues. The role requires expertise in Python, Golang, or C/C++, public cloud infrastructure, cloud networking, firewalls, networking protocols, distributed systems, SaaS, and identity management, with foundational AI/ML knowledge.

Develop and maintain Python applications, APIs, automation scripts, and data-processing solutions. Support Azure or AWS deployments, CI/CD pipelines, MLOps and AI solution lifecycles, testing, production releases, monitoring, troubleshooting, documentation, and stakeholder collaboration across ERP, manufacturing, and supply chain operations.

Design and build scalable SDET testing infrastructure for data connectors, parsers, and ingestion platforms. Develop reusable testing frameworks, CI/CD integrations, AI-powered test generation, monitoring and reporting systems, utilities, and testing standards. Lead technical architecture decisions while ensuring quality, reliability, and accuracy across distributed systems. The role requires programming expertise in Python or Go, cloud platform experience, containerization, orchestration, and scalable automation framework development.

Provides pre- and post-sales WLAN consulting, design, implementation, migration, troubleshooting, and optimization for Aruba networking solutions. Creates requirements, network designs, installation and migration plans, and customer review materials. Resolves technical issues, simulates designs in labs, develops knowledge-base content, and collaborates with customers, partners, QA, engineering, and field teams. The role requires customer-site travel, strong communication, independent work, and expertise in Aruba products, authentication, wireless networking, VoIP, routing, switching, and security.

Designs, builds, and operates backend platforms, Kubernetes infrastructure, distributed services, and cloud-native systems at scale. The role owns platform initiatives from architecture through deployment, improves CI/CD and engineering quality, collaborates with product, AI, and security teams, and mentors engineers. Responsibilities also include integrating applied AI tooling, developing infrastructure-as-code, and driving reliability, performance, observability, and engineering productivity.

Develop and maintain scalable software and AI-enabled solutions across the product lifecycle. Collaborate with agile product teams, build full-stack and cloud-native capabilities, implement CI/CD, automated testing, observability, and DevOps practices, and contribute to responsible AI development. Own production reliability through monitoring, incident response, root cause analysis, and continuous improvement while reducing technical debt and sharing engineering best practices.

Operate and improve large-scale Kubernetes platforms across public clouds, custom data centers, and business-critical Linux environments. Responsibilities include incident response, cluster upgrades, capacity changes, monitoring, alerting, Go-based automation, platform reliability improvements, tooling evaluation, documentation, mentoring, and cross-time-zone on-call support. The role also involves using AI technologies to improve operational workflows and decision-making.

Build and maintain infrastructure automation, VM lifecycle workflows, patching, configuration management, CI/CD pipelines, self-healing tools, and proactive alerting. Administer and troubleshoot Linux servers, virtualization platforms, storage, networking, and logs. Support cloud orchestration integrations, document infrastructure as code, contribute to design reviews, and improve platform reliability through permanent automation and engineering solutions.

Build and maintain infrastructure automation, infrastructure-as-code, VM lifecycle workflows, CI/CD pipelines, self-healing automation, and proactive alerting. Administer and troubleshoot Linux servers, virtualization platforms, storage, networking, and logs. Support cloud orchestration integrations, improve platform reliability, and maintain documentation, architecture diagrams, and runbooks for HPE’s private cloud and CloudOps environments.

Own and operate virtualized infrastructure, IaaS platforms, and cloud environments supporting CrowdStrike’s software factory. Lead Infrastructure as Code and configuration management using Terraform, Packer, and Ansible; support migration from VMware to KVM-based private cloud; build automation and tooling; maintain monitoring, reliability, and resilience; troubleshoot incidents; participate in on-call; and document processes and review infrastructure code.

Build and maintain platform-level microservices, internal tools, and foundational services using Golang, ReactJS, Docker, Kubernetes, and PostgreSQL. Design scalable distributed architectures, CI/CD pipelines, and secure cloud-ready systems. Support developer experience through libraries, patterns, and documentation while improving observability, reliability, and performance. Collaborate with engineering, DevOps, and product teams on architecture, code reviews, and technical design.

Leads architecture, integration, deployment, and operation of multi-cloud solutions across AWS and GCP. Builds infrastructure with Terraform and Ansible, develops automation in Python or Go, and manages Kubernetes, Docker, Linux, observability, incident response, SLOs, and 24x7 production support. Partners with customers and engineering teams to troubleshoot and improve highly available services. AI/LLM platform, Jenkins/Groovy, and backend development experience are advantageous.

Operate and support the Ericsson Wallet Platform across its lifecycle, including patching, upgrades, troubleshooting, maintenance, integrations, and deployments. Provide end-to-end customer support in a multinational environment, participate in 24/7 shift coverage, and travel onsite when required. The role requires Kubernetes, Red Hat Linux, F5 load balancing, networking, troubleshooting, communication, and customer-facing problem resolution skills.

Leads a software development team through design, implementation, testing, deployment, and continuous improvement. Manages team performance, mentoring, feedback, growth plans, quality practices, and delivery of business goals. Participates in Agile planning, product roadmaps, architecture, code reviews, and large project execution. Coordinates cross-functional delivery of scalable software while contributing as an L2 software development engineer and serving as a technical leader.

Build, design, test, deploy, maintain, and improve cloud software using distributed systems and cloud technologies. Manage project priorities, deadlines, and deliverables while collaborating on complex engineering initiatives. The role requires strong software engineering fundamentals, programming ability, problem-solving skills, and familiarity with cloud platforms, containers, Kubernetes, and microservice architectures.

Develop, deploy, and maintain cloud application modules for hybrid environments. Design and automate test plans, debug and deploy code, and collaborate on cloud, virtualization, containerization, and CI/CD solutions.

Designs, develops, tests, and deploys scalable full-stack web applications using ReactJS, NodeJS/Express, PostgreSQL, and AWS. Builds REST APIs, manages Docker-based cloud deployments and CI/CD pipelines, optimizes performance, implements security standards, troubleshoots incidents, conducts code reviews, and collaborates with global stakeholders. Uses AI coding assistants to improve development efficiency and quality.

Design and maintain AWS cloud infrastructure and cloud-native services supporting a 24/7 digital banking platform. Own applications, ensure compliance and documentation, improve AWS networking and third-party connectivity, maintain deployment pipelines, migrate CI/CD tooling, and support developer platform experience. Participate in on-call operations while prioritizing stability, scalability, security, performance, automation, and SDLC excellence.

Operate and evolve internal Temporal infrastructure on Kubernetes: deploy updates, automate operational tasks, tune performance and capacity, build observability, participate in on-call incident response, troubleshoot production issues, and help onboard internal teams while growing platform engineering skills.

Lead backend development of cloud-native, scalable Python services; architect systems, mentor developers, run code reviews, collaborate with cross-functional teams, implement CI/CD and automated testing, and apply ML/data libraries and cloud/container technologies.

Leads software engineering teams building Python and generative AI automation, governing application risk and compliance, and operating resilient production services. Responsibilities include Kubernetes and cloud architecture, data pipelines, observability, CI/CD, SRE practices, incident management, security, AI-assisted engineering adoption, and cross-team execution. The role also establishes service-level objectives, error budgets, and reliability improvements while coaching engineers and documenting organizational knowledge.

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.