Top Software Engineer Jobs in Mumbai

Lead backend engineer for Conversational AI LLM platform and Copilot products. Design and implement high‑volume, low‑latency distributed services, debug production issues, participate in on‑call rotations, mentor engineers, and drive operational excellence and system architecture.

Design, build, and operate high-throughput backend services for an ad-serving platform. Work on distributed systems, concurrency, performance tuning, caching/streaming/storage integration, CI/CD pipelines, observability, and root-cause debugging. Ship incremental changes and own services end-to-end.

Build and maintain user-centric web apps using TypeScript, React/Next.js, and Python. Collaborate to ship features efficiently while optimizing performance and ensuring a seamless user experience.

The Software Engineer Frontend will design and implement user interface components, optimize performance, and collaborate with teams, ensuring a robust application.

Develop and maintain back-end web applications, ensuring efficient integration with front-end systems, optimizing performance, and collaborating with QA for testing.

As a Data Engineer, you'll build and monitor large-scale data pipelines, develop the DBT setup for data transformation and solve customer problems using your SQL skills.

Work on SingleStore's database engine in small teams, building and testing production features. Projects may include query optimizer, SQL performance, fault tolerance, SIMD/LLVM codegen, and LLM/vector index integrations. Collaborate cross-functionally and own features end-to-end.

As a .NET Developer at Eptura, you will design, build, and maintain cloud-ready applications, driving quality through CI/CD while collaborating in a fast-paced Agile environment.

Design, develop, maintain, and operate cloud-based Zero Trust security services and web applications. Build backend microservices in Python and Go, design REST APIs, own features from design to deployment, produce technical documentation, contribute to system architecture, and mentor junior engineers.

Design, develop, and maintain scalable Java/Spring Boot backend services on Unix. Lead architecture, perform code reviews, debug and optimize applications, mentor junior engineers, participate in Agile ceremonies, and collaborate with cross-functional teams.

Design, build, and lead delivery of scalable cloud-native SaaS features across frontend and backend. Mentor engineers, troubleshoot complex issues, collaborate cross-functionally, adopt AI-driven tools, ensure observability and operational excellence, and drive continuous improvement.

Join an agile Scrum team to design, develop, test, and deliver Windows desktop and distributed enterprise software. Mentor junior engineers, write unit/integration tests, collaborate with product owners, estimate work, and use Azure DevOps. Continuously expand technical and domain knowledge while supporting QA and project planning.

As a Verification Specialist, you'll design and execute integration and automation test strategies for Nokia's network products, requiring extensive 4G/5G core testing experience and strong scripting skills.

Optimize and tune complex T-SQL queries, troubleshoot blocking/deadlocks and IO bottlenecks, analyze execution plans, implement indexing/partitioning, maintain HA/DR (Always On, clustering, replication), monitor database health and automation, and collaborate with developers on schema and query design.

Design, build, and maintain secure, scalable blockchain infrastructure powering wallet operations, deposits/withdrawals, transaction signing, node upgrades, custody integrations, audits, compliance, and automated funds sweeping.

Design, develop, and maintain scalable backend services and REST APIs using Java and Spring Boot. Own end-to-end implementations, troubleshoot production issues, optimize databases and performance, enforce security and testing best practices, collaborate with cross-functional teams, and drive system reliability and scalability.

Design, develop, and optimize SQL Server databases and ETL processes; troubleshoot and tune queries; ensure high availability, backups, deployments, and enforce database standards and documentation while collaborating with application and infrastructure teams.

The Senior Software Engineer will work on building and operating scalable backend services, APIs, and infrastructure while collaborating closely with customer engineering teams to resolve real-world challenges in enterprise data systems.

Build and maintain Python backend services and internal tools for AI/LLM applications. Integrate LLM APIs, design scalable REST APIs and async workflows, handle prompt management and model routing, monitor performance, debug distributed systems, automate data workflows, and collaborate to productionize AI features with emphasis on scalability, reliability, and safety.

As a Backend Engineer, design and maintain APIs and services, develop new features collaboratively, and ensure high engineering standards in a remote team environment.

Lead architecture and delivery of Confluent Platform features (notably Unified Stream Manager) for hybrid/on‑prem/cloud deployments. Drive design, code, reviews, and reliability for large-scale distributed systems, mentor senior engineers, collaborate cross-org, handle high-severity production incidents, and shape long-term platform roadmap.

The SDET/Senior SDET will develop and refine quality strategies, mentor team members, and enhance automation frameworks using Python and Javascript.

As an SDE III in MLOps, you'll enhance ML asset management, design infrastructure for ML model deployment, and optimize CI/CD pipelines for efficient performance.

Build and scale core platform systems for a global eSIM consumer product. Own end-to-end features, optimize API performance, caching, data access, observability, and event pipelines. Create internal tooling and AI-assisted engineering workflows to improve developer velocity, reliability, and performance across global markets.

Design and implement comprehensive test procedures and automation (functional, integration, system, regression, performance, AI-driven). Define test strategy, estimate schedules, own defect lifecycle, integrate Agentic AI for test generation/execution, and drive continuous quality improvements across assigned applications.