Top Software Engineer Jobs in Bengaluru

Join the SRE/team as a senior software engineer to write production-grade code, profile and optimize services, debug across the stack, improve observability, define SLIs/SLOs, build tooling and automation, participate in incident response and on-call rotations, and collaborate with US engineering teams to increase performance, reliability, and cost efficiency.

Join the AI Transformation Engineering team to build and enhance the Nora AI platform, integrating advanced AI into internal systems and creating services for operational efficiency.

Responsible for full-stack development, implementing features, fixing bugs, supporting integrations, and participating in CI/CD workflows within a property preservation platform.

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.

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, 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.

Operate and tune Kubernetes (EKS) infrastructure, design CI/CD, observability, and zero-downtime deployments. Lead data platform migration to a lakehouse (Apache Iceberg), own end-to-end data modeling, build ingestion/CDC pipelines, optimize queries, and collaborate with BizOps and stakeholders.

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, build, and maintain scalable data pipelines and enterprise data warehouse models. Develop AI-powered applications and LLM integrations, implement monitoring and guardrails, and create custom NetSuite/PLM scripts and API integrations. Triage integration issues, write tests, and document configurations to support Finance and Operations workflows.

Build and maintain scalable backend services in Python, develop and optimize REST APIs and microservices, work with MySQL, Kafka, and AWS, participate in platform migrations (Temporal, communication systems), own features end-to-end, contribute to architecture and performance optimization, and collaborate across engineering teams.

Build and maintain scalable, high-performance backend services in Golang. Design and optimize APIs, microservices, and distributed systems using MySQL, Kafka, and AWS. Contribute to platform migrations (Temporal, communication platform), troubleshoot production issues, participate in system design, and take end-to-end ownership from development to deployment and monitoring.

As a Senior Software Engineer (SRE), you will enhance system reliability and performance, solve production challenges, and collaborate with teams on system architecture and tools.

Join the SRE team to write production-grade code that improves performance, reliability, and observability across services. Profile and debug systems, tune databases, design infrastructure, build tooling and test frameworks, define SLIs/SLOs, participate in incident response and on-call rotations, and collaborate with distributed engineering teams to reduce downtime and optimize cost.

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.

Design, build, and ship core full-stack/backend features for an early-stage identity platform. Contribute to system architecture, participate in code/design reviews, collaborate with cross-functional teammates, and stay current with cloud-native technologies to deliver high-quality solutions.

Develop and maintain full-stack web applications supporting manufacturing floor operations. Collaborate with support and manufacturing teams to deliver reliable, high-performance software, focusing on backend, frontend, databases, debugging, and performance tuning. Occasional travel to manufacturing sites may be required.

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

Develop Embedded Linux-based software solutions for O-RAN Cellular base station radios, assist in product development, testing, and customer support.

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.