Top Software Engineer Jobs in Bengaluru

Develop, test, and deploy microservices for a cloud-native SaaS platform. Write clean Go/Java code, participate in code reviews, improve reliability and observability with Kubernetes, Prometheus and TimeScale, and contribute to automation, open-source, and small projects.

Develop and integrate OCP SAI with SONiC, enhance control plane stack, ensure optimal SDK performance, and create automated test tools.

Design and develop Linux-based BSP for hardware platforms, focusing on secure boot, hardware initialization, and integration with platform services. Collaborate across teams to optimize performance and support production readiness.

Develop SDK bridging hardware and software for networking. Ensure performance of switch ASICs with a focus on L2/L3 protocols and embedded systems.

Build and maintain production-quality backend and full-stack software: implement features from design to deployment, write tested maintainable code, debug production issues, participate in design/code reviews, and collaborate with product, design, and engineering teams while using AI coding agents to accelerate development.

Design, build, test, deploy and maintain OutSystems web and mobile applications (including offline-capable mobile apps) integrated with REST/SOAP services. Create reusable application objects, optimize performance, troubleshoot production issues, and collaborate with global teams to define standards and CI/CD practices supporting field operations.

Build and maintain scalable, production-grade systems; own end-to-end feature delivery; influence architecture; improve reliability, performance, and code quality; collaborate with product; participate in on-call and incident response; follow security best practices for sensitive data.

Lead design, develop, and deploy secure, scalable, cloud-agnostic backend systems powering generative/agentic AI legal workflows. Define architecture, enforce code quality, mentor engineers, and collaborate cross-functionally to deliver enterprise-grade AI products while meeting security and compliance requirements.

Design and build distributed systems while mentoring junior engineers. Own platform reliability and contribute to the development of key software features.

Build and maintain highly scalable backend microservices in Go and Python, integrate LLM-powered features (RAG, agents, tool-calling), ensure performance and reliability, collaborate with cross-functional teams, and productionize AI capabilities with attention to latency, cost, and safety.

Design, implement, test, and deploy backend and DevOps features and infrastructure. Build robust systems for rapid development and automated testing. Use usage data to iterate on product features for a PowerPoint-integrated AI assistant in a fast-paced startup environment.

Design, build, and maintain scalable backend services and microservices in Python. Develop cloud-native applications on AWS, containerize with Docker and Kubernetes, implement CI/CD, automation, testing (TDD), and collaborate on system design and code reviews within a global engineering team.

Build and maintain backend services and full-stack features for a healthcare orchestration platform. Design testable code, implement automated tests, work with SQL/NoSQL databases, participate in on-call rotation, and collaborate on technical designs and deployments (AWS, Kubernetes, Docker).

Design and execute automated functional and integration tests, extend the automation framework, create test plans/cases, perform gray/white-box testing, run CI/CD pipelines, do code and architecture reviews, participate in on-call rotation, and validate agentic AI/LLM-driven workflows and integrations.

Develop system software and optimization algorithms, collaborate with hardware teams, and execute software verification tests.

Develop high-quality open-source software to simplify distributed programming while working on architectural improvements and enhancing testing processes for the Ray core.

Develop high-quality software for distributed programming, optimize Ray's Datasets library, and improve testing processes. Communicate work through tutorials and talks.

Design and implement scalable cloud infrastructure for distributed AI applications, focusing on control and data planes, optimizing performance and reliability of services, and integrating with existing tools.

Develop and scale multi-tenant SaaS applications on the AWS platform, collaborate with teams, conduct code reviews, and troubleshoot issues.

Develop and scale multi-tenant SaaS applications on AWS. Collaborate with teams for software design, integration, and troubleshooting. Conduct proof of concepts for AWS services.

Design and develop large-scale SaaS applications on AWS, collaborate with teams, perform integration research, and ensure security in product development.

Design and build low-latency, scalable model inference and serving stacks, data processing and evaluation infrastructure, and translate research into production. Collaborate with research and product teams, deliver high-performance distributed systems, and provide technical leadership to ship ML platform features.

The Software Engineer will design, develop, and maintain backend services like payments and analytics, ensuring API performance and scalability while collaborating with cross-functional teams and focusing on B2B solutions.

The role involves data collection for AI model training, operating cloud infrastructure on GCP, and collaborating with the AI team to enhance data quality and scale.

The Software Engineer I (Backend) role involves developing APIs, ensuring performance and scalability, and managing software in a distributed environment.