Top Software Engineer Jobs in India

The role involves designing and developing the MobiFin Elite platform, mentoring team members, ensuring compliance with specifications, and handling technical implementations using Java and related technologies.

Lead development and operation of Nike's multi-cloud access, entitlement, governance, and cost-optimization platform. Drive architecture, roadmap, squad leadership, SLO-driven operations, AI-assisted automation, and cross-region co-ownership while mentoring engineers and ensuring reliable, secure management plane services.

Design, build, and maintain secure, highly available platform services. Contribute to product security, platform management, and data integration. Mentor junior engineers, participate in technical planning, incident retrospectives, and collaborate with product and cross-functional teams to deliver scalable cloud-native solutions.

Design, build, and maintain scalable test automation frameworks for web and API testing. Create and run automated test suites (functional, regression, integration, end-to-end), integrate tests into CI/CD, track defects, analyze and debug issues, and collaborate with development and product teams to improve quality and release velocity.

The Software Product Support Engineer provides technical support for Quantum's data storage technologies, addressing complex issues, and training team members while communicating with customers and development teams.

Design, build, deliver, and maintain software applications across cloud, platform, and application layers. Provide technical leadership for a 3–4 person team, participate in design reviews, ensure code quality and testing, optimize performance, implement scalable distributed systems, and work within Agile/SCRUM processes while collaborating with product leaders.

Lead design and implementation of components and features in an Agile environment. Write high-quality, tested C#/.NET and React code, design scalable distributed systems, optimize performance, define interfaces, mentor a small team, and collaborate with product leaders to deliver solutions.

As a Senior Software Engineer - AI, you will design, build, and operate AI/ML platforms and services while collaborating with multiple teams to ensure security and performance standards.

As a Senior Software Engineer in AI, you'll design and implement AI/ML platforms, optimize data pipelines and collaborate with various teams to enhance services for P&C insurers.

The Lead Software Engineer will design and maintain backend services, develop APIs, integrate AI components, and collaborate with teams to deliver production-ready features.

Design, configure, and develop ServiceNow solutions across ITOM (Cloud Discovery), CMDB, ITSM, HAM, and SAM. Build integrations, UI policies, business rules, Flow Designer flows, scripts, and AI-driven workflows. Participate in code reviews, platform upgrades, sprint planning, production support, and mentor junior developers.

The Front-End Developer will work on building responsive UI features using Angular, collaborate with teams, and maintain best practices.

The role involves software development, primarily focusing on front-end using NodeJS and Java, employing various frameworks and tools for application security, testing, and performance monitoring.

Develop and maintain a SharePoint intranet portal, implement site designs, migrate data, and produce technical documentation while collaborating with teams to ensure customer satisfaction.

As a Senior Software Engineer at Zendesk, you will develop backend solutions, collaborate with teams, ensure code quality, and mentor junior developers.

The Staff Software Engineer will lead backend system design and optimization for Ads, mentor engineers, and enhance performance and scalability through AI-driven solutions.

Design, build, and operate scalable, highly available infrastructure and services (Trino, Spark, Kubernetes). Mentor engineers, own systems, write production code, improve reliability, automation, and observability.

Design, develop, and deploy production-ready AI/ML solutions focused on RAG, Agentic AI, and MCP. Build and optimize models, scalable data pipelines, and REST APIs (Python). Integrate LLMs, vector databases, and embeddings; ensure reliability via testing, CI/CD, and cloud services. Collaborate cross-functionally and document designs and research.

Design, implement, and scale full‑stack web applications and backend services (.NET Core, React/TypeScript). Build data pipelines, analytics integrations, CI/CD, and tests. Collaborate with Product, Design, and Data; use AI/LLMs and developer tooling; participate in code reviews, incident response, and architectural design for high‑traffic, observable systems.

As a Software Development Engineer II, you will develop solutions for F5's BIG-IP BNK/CNF, focusing on telemetry, observability, and analytics. Responsibilities include providing technical solutions, analysis for design requirements, guiding junior engineers, and assisting in customer solutions.

Build and evolve platform-grade frontend UI components, design systems, and reusable component libraries. Drive frontend architecture, standards, accessibility (WCAG), performance, and multi-team reuse while mentoring engineers and enabling product teams with documentation and extensibility.

Work as a Machine Learning Engineer on innovative products, utilizing frameworks like Pytorch and PySpark, researching models, and developing scalable solutions.

Hands-on lead full‑stack engineer responsible for designing, building, and delivering scalable customer‑facing applications. Own backend (Java/Spring Boot), frontend (React/Angular), cloud deployments (AWS/Azure), databases (PostgreSQL), APIs, incident response, and mentoring while driving engineering best practices and reliable releases.

Design, develop, test, operate, and maintain production-grade software with full-stack ownership. Ensure scalable, reliable architectures, enforce security and compliance, conduct and act on code reviews, mentor junior engineers, and embed SRE and DevOps practices. Contribute to AI/LLM initiatives and continuous improvement across the product lifecycle.

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.