Top AWS Jobs in Bangalore

Drives software quality for networking and cybersecurity products by designing test strategies, developing UI/API/system automation, integrating tests into CI/CD pipelines, managing test environments, validating REST APIs, investigating defects, and collaborating with engineering, product, and DevOps teams. The role requires strong networking fundamentals, Python automation, cloud and container exposure, and use of AI-assisted testing tools.

Lead development of a submission platform for academic publishing. Responsibilities include designing, implementing, testing, deploying, and maintaining services; mentoring engineers; leading Scrum teams; improving processes; shaping service vision and roadmaps; and building scalable, observable software. The role requires full-stack development experience, strong web and software engineering fundamentals, modern architecture knowledge, Agile delivery, automated testing, and expertise across JavaScript or Java technologies.

Supports CI/CD pipeline automation, application deployments, DevOps and SRE operations, Windows/Linux infrastructure, cloud platforms, containerized microservices, and BI platform administration. Automates operational tasks with scripting, manages Git-based configurations, supports releases across environments, monitors and troubleshoots platform issues, maintains runbooks, and improves reliability, standardization, and audit compliance.

Supports CI/CD pipeline automation, application deployments, DevOps and SRE operations, Windows/Linux infrastructure, cloud platforms, monitoring, and BI platform administration. Automates operational tasks with scripting, manages Git-based configurations, supports releases across development, UAT, and production, troubleshoots platform issues, and improves reliability through containerization, orchestration, standardization, documentation, and audit remediation.

Lead quality engineering for a large-scale SaaS digital signage platform. Validate APIs, data workflows, services, and UIs; troubleshoot in AWS; build automation and telemetry-driven testing; introduce AI-assisted quality practices; coach teams on whole-team quality, non-functional testing, and CI/CD-driven delivery.

Designs and leads enterprise CI/CD, release management, cloud infrastructure, and platform engineering across multiple environments. Builds automated pipelines, provisions infrastructure with IaC, manages Kubernetes and container platforms, implements GitOps and DevSecOps, and develops observability, testing, rollback, and disaster recovery solutions. Partners across engineering, security, QA, and operations to improve platform reliability, modernize cloud environments, optimize costs, and accelerate secure software delivery.

Designs, deploys, and manages VMware vSphere/ESXi infrastructure, compute, storage, networking, and Ubuntu Linux environments. Responsibilities include virtualization, system hardening, patching, DNS, routing, firewalls, NAT, access controls, and troubleshooting. Provides infrastructure engineering support to software development and testing teams. Preferred experience includes Ansible or Terraform, scripting, CI/CD, source control, cloud platforms, and enterprise monitoring and logging tools.

Designs and delivers scalable backend features and services for Cisco Cloud Control. Responsibilities include building product integrations and AI-native solutions, collaborating with frontend and infrastructure teams, maintaining high-performance global services, mentoring teammates, and applying AWS, observability, CI/CD, and DevOps practices.

Develop and execute performance tests for complex, containerized, distributed software products. Deploy test environments across Linux, cloud, Docker, Kubernetes, and databases; troubleshoot deployment and product issues; analyze logs, monitoring data, and database queries to identify bottlenecks; automate testing; and collaborate with engineering teams to resolve defects tracked in Jira.

Own performance, scalability, stability, and capacity testing for enterprise Java web applications and APIs. Design realistic workload models and JMeter frameworks, analyze statistical and cross-layer performance data, diagnose JVM, database, search, and infrastructure bottlenecks, and validate improvements. Integrate performance testing into CI/CD, maintain controlled environments and test assets, document findings, and collaborate with development and infrastructure teams on prioritized recommendations.

Build and operate scalable backend services for SAP’s prompt evaluation, optimization, and metering platform. Responsibilities include developing reliable microservices, resolving data and billing inconsistencies, implementing observability and fault tolerance, automating testing and operational workflows, and collaborating in agile teams. The role requires cloud, Kubernetes, CI/CD, DevOps, backend development, and AI platform expertise.

Leads the global Solution Test Engineering organization, defining strategy and building teams responsible for end-to-end validation of Cohesity solutions in complex enterprise environments. Oversees automation, interoperability, deployment, upgrade, recovery, security, scalability, and resiliency testing across hybrid and multi-cloud platforms. Partners with engineering, product, customer-facing, executive, and technology partner teams to improve release quality, deployment success, customer adoption, and solution readiness.

Build and evolve Kong's API Operations toolset (starting with deck), design CLIs and SDKs, enable API features across Kong runtimes, integrate IaC and CI/CD workflows, collaborate on roadmap, and mentor/hire teammates.

Own and improve AWS cloud infrastructure, including multi-region customer-facing architecture, deployment pipelines, reliability, monitoring, alerting, security, and cost optimization. Build development, testing, and staging environments using infrastructure as code and automation. Apply Kubernetes, ECS, EKS, Docker, Terraform, scripting, observability, production troubleshooting, AI-driven infrastructure automation, and cloud security practices.

Designs and executes performance, load, stress, endurance, scalability, and capacity tests for web applications, APIs, and backend services. Analyzes results, identifies bottlenecks, establishes benchmarks, monitors regressions, and supports performance tuning and incident root-cause analysis. Integrates performance testing into CI/CD pipelines and collaborates with development, DevOps, product, infrastructure, and business teams on non-functional requirements.

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.