Top AWS Jobs in Bangalore

Design, build, test, and maintain scalable backend services and PostgreSQL-backed data models. Optimize database performance, manage production PostgreSQL clusters, troubleshoot reliability issues, and support backup, replication, high availability, and capacity planning. Participate throughout the software development lifecycle, including design, coding, test automation, debugging, and code reviews. Collaborate with product, security, architecture, engineering, and external teams while contributing to DevOps practices and CI/CD pipelines.

Lead the Platform Services engineering team responsible for shared infrastructure, internal tooling, and core services. Own distributed systems architecture, cloud reliability, observability, cost optimization, roadmap delivery, and incident management while remaining hands-on with code and production systems. Hire, mentor, and develop engineers; establish technical standards; and collaborate with product engineering, SRE, security, and leadership. Drive AI-assisted engineering practices and platform automation.

Designs, builds, secures, automates, and operates enterprise Databricks platforms across development, testing, and production. Responsibilities include data pipeline integration, ML and generative AI enablement, CI/CD, Infrastructure as Code, governance, monitoring, reliability, cost optimization, and platform support. The role collaborates with engineering, security, architecture, and business teams while mentoring junior engineers and shaping platform standards and roadmaps.

Design, develop, and test system and embedded software for WLAN controller infrastructure across on-prem and cloud platforms. Perform feasibility studies, debug complex issues, contribute to architecture reviews, mentor engineers, and drive CI/CD-based delivery for virtualized networking solutions.

Build and lead development of scalable, high-performance software systems, primarily using Golang for backend services. Responsibilities include architecture, coding, debugging, performance optimization, API and microservices development, cloud-based engineering, cross-functional collaboration, mentoring junior developers, conducting code reviews, and coordinating technical project execution.

Develop and optimize high-throughput, resilient risk metrics engines and workflows. Implement cloud-first, AI-enabled architecture, write production-grade code, follow modern SDLC (CI/CD, automated testing), and collaborate with quantitative engineers and product stakeholders to scale risk measurement systems.

Develop and modernize highly available, scalable Java microservices for a cloud-based SaaS platform on Google Cloud. Responsibilities include software design, development, production support, troubleshooting, distributed-systems problem solving, cloud architecture, and collaboration across engineering teams.

Build and lead CI/CD platforms, infrastructure automation, Kubernetes deployments, and containerized testing environments across on-premises and cloud platforms. Develop deployment templates, monitor system health, support critical incidents, document architectures, and improve operational processes. The role mentors engineers, coordinates with stakeholders, and serves as a hands-on technical DevOps expert.

Lead enterprise Java architecture and development for scalable, resilient cloud-native applications. Design microservices, distributed systems, event-driven solutions, APIs, and CI/CD pipelines. Deploy applications using Kubernetes, Docker, Helm, and major cloud platforms. Guide architectural decisions, code reviews, security, performance, and compliance while mentoring engineers and collaborating across product, QA, DevOps, and Agile teams. Apply GenAI tools and LLM integrations to improve development productivity.

Leads technical support and sustenance of healthcare software products, resolving install-base issues, identifying root causes, updating code and procedures, and coordinating escalations across engineering, product, operations, customers, and field teams. Provides technical leadership, manages L4 operations, coordinates migrations and cloud rollouts, develops KPIs and dashboards, drives corrective actions, maintains troubleshooting documentation, and ensures process quality and audit readiness.

Design, build, and maintain scalable backend systems and AI-powered clinical agents. Develop LangGraph.js workflows, integrate LangSmith observability and evaluation, and support LLM-based applications using AWS Bedrock. Contribute to knowledge graphs, RAG systems, distributed architectures, production operations, technical strategy, incident resolution, code reviews, mentoring, and cross-functional delivery within a healthcare-focused DevOps environment.

Leads the design and maintenance of CI/CD pipelines, infrastructure-as-code, deployment tooling, and DevSecOps controls for cloud, on-premises, and hybrid customer environments. Automates provisioning, upgrades, monitoring, reporting, and change management while improving deployment reliability and reducing operational toil. Collaborates with Systems Engineering and SRE teams, supports customer deployments, tracks delivery metrics, and maintains documentation and reusable playbooks.

Designs, develops, maintains, and troubleshoots full-stack web applications using .NET, C#, Angular or React, SQL and NoSQL databases, and Microsoft Azure services. Responsibilities include backend API development, cloud deployment and monitoring, testing, code reviews, documentation, CI/CD, and cross-functional collaboration. The role also involves applying coding best practices, resolving technical issues, and staying current with industry technologies.

Manage and optimize SAP environments in the RISE with SAP managed-service model. Responsibilities include L3 incident resolution, root-cause analysis, system administration, upgrades, migrations, monitoring, security, performance tuning, disaster recovery, backups, documentation, and technical guidance for support teams. The role serves as the final escalation point for critical SAP issues and coordinates with customers, SAP, infrastructure, cloud, and vendor teams.

Designs, develops, and maintains full-stack web applications using .NET, C#, Angular or React, SQL and NoSQL databases. Builds backend services and APIs, deploys and monitors solutions on Azure, and works with containerization, CI/CD, testing, code reviews, and troubleshooting. Collaborates with product, design, and QA teams while ensuring scalable, well-documented code and staying current with technology trends.

Build, operate, and improve production systems across Kubernetes, AWS, Azure, Linux, and database environments. Responsibilities include infrastructure automation with Terraform, scripting, observability, incident response, on-call support, reliability engineering, capacity planning, performance optimization, upgrades, disaster recovery, and maintaining operational documentation. The role partners with engineering and platform teams to deliver scalable, highly available services.

Design, build, operate, and lead delivery of highly available distributed systems for managed cloud and serverless API gateways. Develop microservices and control-plane components, ensure 99.99% uptime, participate in on-call rotations, improve observability and reliability, and mentor engineers. Collaborate across product and engineering teams to shape technical direction, deliver scalable API infrastructure, and support hiring and technical roadmap development.

Manage and optimize SAP infrastructure, applications, and databases on AWS across development, QA, UAT, and production environments. Administer Linux/RHEL and Windows servers, implement SAP high-availability solutions with Pacemaker, support HANA and Sybase databases, and manage backup, recovery, monitoring, and performance. Develop Python and Bash automation, provision infrastructure with Terraform and IaC practices, and collaborate with Basis, database, cloud, DevOps, security, and application teams.

Lead engineering teams to design and deliver cloud-native, large-scale full-stack and microservices solutions on AWS/Azure/GCP; collaborate with product and analytics to build intelligent data products; mentor engineers, evaluate code, and drive technical strategy using Kubernetes and serverless infrastructure.

Lead reliability, scalability, observability, automation, and incident response for a globally distributed, multi-cloud application platform. Build infrastructure-as-code solutions, optimize CI/CD pipelines, establish SLOs, troubleshoot Linux systems, and guide cross-functional teams in adopting SRE practices. The role requires hands-on engineering, technical ownership, and participation in an on-call rotation.

Develops enterprise system software, features, and troubleshooting tools for NVIDIA DGX platforms, containers, deep learning frameworks, GPUs, and cloud deployments. The role resolves customer software, hardware, and operating-system issues; improves platform reliability; researches GPU use cases; collaborates with customers and engineers; and provides occasional Sev1 on-call support.

Designs and develops scalable cloud-based and serverless software across the company’s platform. Builds prototypes and production services, applies AI throughout the SDLC, promotes modern Agile and Well-Architected practices, troubleshoots customer and internal issues, develops comprehensive test suites, and coaches software engineers. The role requires extensive distributed application experience and backend expertise across multiple programming languages, databases, cloud technologies, integrations, and workflow orchestration.

Develop and own highly scalable backend services for IoT, order, and payment systems. Responsibilities include Java and Python development, distributed systems design, database and cache optimization, event-driven architectures, production troubleshooting, observability, incident response, reliability improvements, and collaboration with Infrastructure, QA, and Product teams.

Leads enterprise architecture for scalable, multi-tenant SaaS systems and cloud-native platforms. Owns AWS architecture, distributed data pipelines, cost optimization, security, governance, and architectural standards. Drives GenAI and machine learning adoption across the software development lifecycle, builds self-service capabilities, guides engineering teams, conducts prototypes, and leads architecture reviews. Requires deep hands-on cloud, distributed systems, coding, infrastructure automation, AI/ML, and strategic technology leadership experience.

Develop Mendix applications within Agile Scrum teams, translating user stories into quality solutions. Responsibilities include solution design, architecture recommendations, coding, testing, documentation, CI/CD, configuration management, customer technical support, demonstrations, and continuous learning. The role requires strong Mendix expertise, web and UI technologies, databases, programming fundamentals, cloud operations, containerization, and collaboration skills.