Top AWS Jobs in Bangalore

Designs, implements, supports, upgrades, and optimizes middleware and systems infrastructure using IBM DataPower or IBM MQ. Responsibilities include high-availability configuration, virtualization, storage, data protection, automation, patching, disaster recovery planning, vulnerability remediation, monitoring, capacity reporting, and systems management. The role also mentors technical staff, manages multiple projects, and supports 24/7 rotational operations.

Provides senior technical support for enterprise infrastructure customers, troubleshooting complex hardware, networking, distributed storage, cloud, and Linux-based systems. Acts as the liaison between customers and Engineering, resolves and documents support cases, monitors systems, assists pre-sales teams, creates technical documentation, and manages multiple customer issues. The role includes on-call rotations, night-shift availability, and potential regional or international travel.

Lead the design, development, and maintenance of scalable cybersecurity software. Mentor development teams, guide architecture and technical decisions, review code, resolve defects, collaborate with product and security stakeholders, and ensure secure, reliable, high-quality delivery. The role requires advanced Java and microservices expertise, cloud and containerization experience, Agile and DevOps knowledge, CI/CD proficiency, and familiarity with agentic AI integrations.

Build and evolve scalable cloud foundation services for Esko’s SaaS products. Responsibilities include detailed technical design, hands-on backend development, distributed systems engineering, API and database development, reliability and performance improvements, production troubleshooting, testing, code reviews, architectural collaboration, and mentoring engineers. The role owns complex platform capabilities from requirements through production and helps improve engineering standards and operational readiness.

Design and lead scalable, secure cloud-based SaaS architectures for media-centric platforms. Translate client and business requirements into technical solutions, establish architecture standards, evaluate technologies, and oversee performance optimization. Provide technical leadership across pre-sales and implementation, collaborate with product and engineering teams, ensure compliance, and mentor junior architects and engineers.

Build scalable fullstack systems for generative AI applications, with a strong backend focus. Responsibilities include designing APIs, microservices, data pipelines, databases, caching, security, monitoring, and low-latency inference infrastructure. Develop intuitive frontend interfaces, integrate ML training and serving pipelines, optimize high-throughput media processing, and collaborate cross-functionally with ML, product, research, and creative teams. The role also involves setting engineering standards, communicating with stakeholders, and mentoring peers.

Build and evolve scalable Java platform services, APIs, data pipelines, and distributed systems supporting AI applications and user experiences. Responsibilities include integrating AI inference systems, developing REST and GraphQL APIs, managing event-driven workloads, optimizing performance and concurrency, and deploying cloud-native services with Kubernetes and AWS. The role also involves observability, fault tolerance, technical design reviews, mentoring, and cross-functional collaboration with AI, UI, and DevOps teams.

Lead the development of scalable React and full-stack applications for video and media platforms. Architect microfrontend systems, implement authentication and media workflows, optimize performance, and support cloud deployments. Collaborate across Node.js, Python, and PHP integrations while maintaining testing, security, and reliability standards. Own modules end to end, contribute to architectural decisions, mentor engineers, and establish frontend best practices for AI-driven media products.

Lead architecture and full-stack development for a scalable, cloud-hosted video streaming platform. Build streaming workflows using HLS, DASH, WebRTC, adaptive bitrate, and CDN integrations. Drive test automation, CI/CD, Dockerized and serverless deployments, observability, performance optimization, and high availability across cloud environments. Mentor engineers, conduct design and code reviews, and establish engineering best practices for AI-driven media workflows.

Leads architecture and full-stack development for a scalable, cloud-native video streaming platform. Designs streaming workflows, automation, CI/CD pipelines, Dockerized and serverless deployments, and highly available systems across frontend and backend technologies. Optimizes performance, caching, observability, and reliability while mentoring engineers, conducting reviews, and establishing engineering best practices.

Develop and maintain scalable Python and Golang microservices; deploy and manage applications across AWS and Azure; optimize Kubernetes and Docker workloads; automate infrastructure with Terraform; implement testing, messaging, security, and observability practices; and use AI coding assistants to improve development, reviews, and testing. Collaborate cross-functionally to enhance system performance, security, and scalability.

Design and develop high-performance C++ execution engines, real-time simulations, medical imaging and 3D visualization systems. Build React and JavaScript web interfaces supported by service-oriented, microservice, cloud, and database architectures. Ensure medical-device regulatory compliance, data integrity, and traceability. Provide technical leadership, architecture guidance, mentoring, sprint estimation, root-cause analysis, and production defect resolution.

Design and develop high-performance C++ execution engines, real-time simulations, 3D medical imaging and visualization systems, and modern web interfaces. Build distributed architectures using microservices and Web APIs, integrate cloud and database platforms, ensure medical-device regulatory compliance and data security, guide technical architecture, estimate Agile work, mentor engineers, and resolve complex production defects.

Administer and optimize cloud-based data platforms, including Databricks workspaces, clusters, pools, and jobs. Configure RBAC, audit logging, governance, and security controls. Build CI/CD pipelines and Terraform-based automation for notebooks, libraries, jobs, and cluster lifecycles. Troubleshoot performance and integration issues, support data teams, and integrate platforms with Azure Data Lake, Power BI, Dataverse, and other enterprise systems.

Own system-level quality for Portworx Enterprise across Kubernetes, storage, and virtualization environments. Develop test strategies and Golang-based automation, validate high availability, resiliency, disaster recovery, upgrades, scale, and failure scenarios, and improve CI/CD test infrastructure. Troubleshoot complex distributed-system issues, identify coverage gaps, collaborate across engineering teams, support releases, and mentor engineers through code reviews and automation practices.

As an Engineering Manager at Celonis, you will lead engineering teams, guide project performance, and collaborate with cross-functional stakeholders while overseeing end-to-end system reliability and availability.

The Principal Enterprise Architect will design solution architectures, engage with technical teams and customers, and support sales goals through integration strategies and architecture development.

As a Senior Software Engineer, you will design and maintain full-stack applications, integrate AI tools, and drive a quality-first development culture while collaborating with cross-functional teams.

Develop and maintain scalable full-stack applications using React, TypeScript, Java, Spring Boot, and cloud services across AWS and Azure. Design APIs, microservices, event-driven systems, CI/CD pipelines, infrastructure as code, and containerized deployments. Implement testing, monitoring, security, and production support practices. Translate business requirements into reliable technical solutions, collaborate with architects and Agile teams, document designs, and incorporate AI-driven capabilities into products.

Own and architect scalable test infrastructure, establish quality strategies, optimize test suites and CI/CD performance, manage AWS-based test environments, develop reporting and testing tools, and mentor junior SDET engineers. The role requires advanced TypeScript, Playwright framework expertise, API/UI test orchestration, software design patterns, AWS, Docker, Git, reporting tools, and performance optimization experience.

The Site Reliability Engineer will design scalable infrastructure, automated deployment pipelines, monitoring, and alerting systems. Responsibilities include troubleshooting production incidents, participating in on-call rotations, maintaining systems, improving security and compliance, optimizing reliability and efficiency, and mentoring junior engineers. The role requires collaboration with development and cross-functional teams, technical communication, infrastructure automation, and expertise in distributed systems, cloud platforms, and networking.

Develop and maintain scalable Java backend applications, REST APIs, and microservices. Integrate backend services with frontend systems and third-party platforms, write efficient code, conduct reviews, troubleshoot issues, optimize performance, and implement security measures. Collaborate with QA, product, and frontend teams while participating in Agile ceremonies, testing, documentation, and service improvements.

Build and support AI and DevOps platforms using production-grade Python, LLM orchestration, agent loops, prompt evaluation, CI/CD automation, GitLab pipelines, and REST/OpenAPI services. The role emphasizes infrastructure engineering, deployment environments, security automation, monitoring, source control, containers, Kubernetes, and infrastructure as code.

Develops and maintains scalable healthcare software across front-end and back-end systems. Designs APIs, microservices, databases, cloud deployments, CI/CD pipelines, and containerized applications while ensuring healthcare data security and compliance. Collaborates with Agile teams, troubleshoots performance and data issues, participates in Scrum ceremonies, architects technical solutions, and mentors junior developers. The hybrid role may require up to 5% domestic or international travel and occasional off-hours migration work.

Lead production software development across microservices, APIs, integrations, event-driven workflows, and AI-enabled agentic systems. Design reliable LLM workflows with tool calling, retrieval, orchestration, validation, observability, and human review. Lead technical delivery, modernize legacy components, mentor engineers, and establish safe AI-assisted development practices. Build containerized SaaS applications using Docker and Kubernetes, work with relational and NoSQL databases, and support cloud deployments, CI/CD, testing, security, and production operations.