Top Software Engineer Jobs in Bengaluru

Develop and troubleshoot software components for Alkira's packet forwarding engine, collaborate with teams, and ensure high-quality code through testing.

Designing and developing proprietary software for low-latency trading systems, collaborating with teams, and solving complex problems.

The Senior Fullstack Software Engineer will design, implement functionalities, provide support to developers, ensure quality standards, and participate in agile team activities.

The role involves developing firmware for SPAN's hardware products, working with microcontrollers, and collaborating with cross-functional teams to implement new features effectively.

Develop backend systems for healthcare applications, design system architecture, and collaborate with cross-functional teams to ensure seamless integration.

Join Revefi as a Graduate Software Engineer to build and enhance backend systems for a cloud-native SaaS platform, collaborating with teams and learning modern engineering practices.

The DevOps Engineer will design and maintain CI/CD pipelines, automate infrastructure management, and ensure secure, scalable cloud systems while collaborating with teams for efficient software deployment and monitoring.

As a Senior Java Software Engineer, you will develop scalable application components, lead junior developers, optimize performance, and ensure project delivery.

Design and build backend services for security products, participate in feature development, ensure system reliability, and mentor junior engineers.

The Software Engineer will own the observability stack, design developer tooling, manage platform features, and ensure system reliability through monitoring and automation.

Design and build backend services for cloud email security. Collaborate with teams, ensure system reliability, and mentor junior engineers while utilizing AI tools.

The Software Engineer will design REST/GraphQL endpoints, implement microservices, optimize backend performance, manage cloud operations, and develop large-scale platform features.

As a Software Engineer II, you will develop AI-driven applications, combat cybersecurity threats, and build scalable backend systems within a collaborative team.

The SDET will automate and manually test software products, define test plans, build test frameworks, and ensure software meets business requirements.

As a Software Engineer II - Backend, you will enhance customer onboarding through backend system development, implementing AI tools, and collaborating with teams.

Giga is seeking a Software Engineer II to build AI-driven customer experience solutions. Responsibilities include developing backend systems and creating self-learning agents to optimize performance and scalability.

The role involves managing and troubleshooting cloud networking infrastructure, providing 24x7 coverage, automating deployments, and developing test plans.

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

The Data Software Engineer will integrate Selector's platform, deploy solutions, enable customer use, collaborate with sales, and improve product quality.

As a Ruby on Rails Engineer, you'll design and implement frameworks, build APIs, collaborate with a team, and propose solutions to improve processes.

The Front-End Software Engineer will design and build scalable user-facing systems, develop high-performance UIs, manage data flows, and collaborate across teams to enhance the Doxel AI-driven construction platform.

Develop robust systems for video conferencing, optimize for high scale, and collaborate on cross-functional teams while enhancing user experience.

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

The Software Engineer will optimize AI inference processes for robotic systems, ensuring high performance under varying constraints and building infrastructure for model integration.

Develop and optimize AI training pipelines, collaborate with researchers, ensure reliability and performance of training systems, and integrate advanced algorithms.