Top AWS Jobs in Bangalore

Join a cross-functional team to design, build and maintain automated and exploratory tests for a cloud-native Digital Signage platform. Create and maintain API, service, UI and regression test suites, support CI/CD pipelines, troubleshoot using AWS tools, analyze telemetry, and contribute to performance and reliability testing and continuous quality improvements.

Own end-to-end design and delivery of Data Services on the ServiceNow platform, leading CMDB, CSDM, ITOM, Discovery, Service Mapping, Event Management and AIOps initiatives. Define product roadmaps, integrate cloud services (AWS/Azure), create requirements and user stories, govern architecture and integrations, and mentor global delivery teams to improve platform health, security, and adoption.

Senior technical leader driving DevOps, cloud, SRE, and platform engineering strategy. Architect and deliver scalable, secure CI/CD and cloud-native platforms across Azure/AWS, lead cross-functional teams, implement observability and automation, establish IaC governance, and mentor engineers to improve reliability and delivery velocity.

Analyze and optimize performance, scalability, efficiency, and capacity across a large-scale UEM platform. Define benchmarks, KPIs, and SLOs; identify bottlenecks across application, infrastructure, and database layers; design load, stress, endurance, and performance tests; respond to incidents; and build automation for benchmarking, capacity planning, and continuous validation. The role requires expertise in software development, cloud infrastructure, observability, profiling, workload modeling, and performance engineering.

Develop cloud-based applications with strong Angular and TypeScript expertise while contributing to AWS, Kubernetes/EKS, backend services, microservices, CI/CD, infrastructure as code, and platform engineering initiatives. Build and support front-end and cloud services, troubleshoot containerized deployments, automate delivery pipelines, and collaborate across technology domains. Preferred experience includes Helm, Terraform/OpenTofu, Lambda, Node.js, Jenkins, cloud governance, event-driven systems, automated testing, and developer enablement tooling.

Lead design and delivery of scalable, cloud-native SaaS features across frontend and backend. Collaborate with cross-functional teams, mentor junior engineers, troubleshoot complex issues, and drive adoption of CI/CD, observability, and AI-driven UX practices to improve product outcomes and customer success.

Manages and mentors a team of data engineers and architects, provides technical guidance, oversees customer Databricks projects, leads reusable tooling development, handles escalations, partners with stakeholders, improves service offerings, and supports customer success throughout sales and delivery.

Lead the development of AI-powered customer support solutions, guiding a team to build scalable, reliable, and secure systems using LLMs and third-party integrations.

Build and maintain cloud-native, high-throughput, low-latency backend microservices (Java/Spring Boot). Contribute to design, implementation, testing, CI/CD, observability, and production support. Collaborate in agile teams, perform code reviews, mentor peers, and leverage GenAI tools to accelerate development and platform scalability.

Operate and maintain an Azure-based SaaS platform by monitoring infrastructure, managing patches, triaging alerts, responding to incidents, maintaining runbooks, tracking SLA and reliability metrics, and supporting CI/CD operations. The role participates in on-call rotations, post-incident reviews, automation initiatives, and infrastructure-as-code improvements while collaborating with cloud engineering teams.

Build, automate, and operate enterprise-scale data platforms using Databricks, Snowflake, Microsoft Fabric, Kubernetes, and cloud technologies. Responsibilities include Infrastructure as Code, CI/CD, GitOps, platform provisioning, reliability engineering, observability, security, governance, incident remediation, performance optimization, and FinOps. The role supports multi-environment deployments and self-service capabilities for data engineering and analytics teams.

Lead and grow a Cloud Integration engineering team delivering secure, reliable cloud-native integration solutions for Finance & Procurement. Own technical delivery across the SDLC, drive IaC, CI/CD, observability, integration patterns, data movement, enrichment, orchestration, and AI/ML integrations. Partner with Product, Architecture, Security, and Platform teams, mentor engineers, champion architectural best practices, and run agile ceremonies to ensure compliance, performance, and rapid delivery.

Design, develop, and maintain scalable data platforms, SDKs, APIs, and microservices supporting enterprise data and analytics. Build agentic AI and LLM-powered applications, implement data governance and observability practices, and ensure data quality through testing and validation. Collaborate on architecture and code reviews, troubleshoot production issues, and contribute to reliable, maintainable software and team knowledge sharing.

Lead and grow an Infrastructure Engineering team to drive SRE practices, IaC, CI/CD, identity and access management, and multi-cloud reliability. Oversee automation, security, and AI-driven employee experiences while collaborating with global support teams.

Operate and improve production data infrastructure across large-scale distributed cloud systems. Monitor performance, manage alerts, respond to incidents, perform root cause analysis, automate repetitive tasks, support CI/CD pipelines, document runbooks, and assist with capacity planning. The role requires participation in an on-call rotation and collaboration with Engineering to maintain reliability, efficiency, and uptime.

The Solutions Architect will design customized CCaaS solutions, support pre-sales, and work with technical teams to ensure effective project delivery.

The Sr Software Engineer I develops large-scale microservice applications, enhances platform features, manages teams, and ensures software engineering best practices, primarily using Go.

Design and develop scalable backend systems, manage databases, mentor engineers, collaborate with teams, and ensure data integrity while implementing best practices.

Oversees monitoring, maintenance, and support of technology systems; manages incidents, implements upgrades, and ensures alignment with business objectives through collaboration.

Lead architecture, design, and modernization of large-scale, Java-based payments systems. Drive cloud-native and microservices initiatives, mentor engineers, solve complex distributed systems problems, integrate AI/ML capabilities, and align technical strategy with business goals.

Lead architecture, design, and modernization of large-scale, secure payment systems. Drive cloud-native, microservices, and AI-enabled solutions; mentor engineers; resolve complex architectural challenges; align technology with business goals; ensure scalability, performance, and reliability.

Design, build, and support production web applications using React/Next.js frontends and Node.js backends. Develop and consume APIs, work with MySQL/Oracle databases, use AI-assisted coding tools, and deploy applications to AWS. Collaborate with product, design, QA, and engineering teams using GitHub and Agile practices.

Lead QA responsible for designing and executing manual and automated test strategies, creating test plans and cases, performing functional, integration, regression and API testing, managing defects, integrating tests into CI/CD, supporting UAT, mentoring junior testers, and collaborating with cross-functional teams to ensure release quality.

Lead technical architect responsible for creating solution architectures, mentoring engineering leads, driving technical vision and roadmaps, ensuring scalable cloud-native platform services, enforcing CI/CD and code quality practices, and collaborating with Product, Security, DevOps and Architecture to deliver microservice-based web applications.

The Automation Tester will design, maintain, and troubleshoot automated test scripts using Selenium and API testing tools. Responsibilities include developing automation frameworks, collaborating on CI/CD processes, and guiding team members while ensuring the incorporation of new technologies and best practices.