Top Software Engineer Jobs in India

The Staff Software Engineer - AI will lead the development of enterprise-scale AI systems, enhance technical strategies, oversee AI technologies, mentor other engineers, and ensure compliance with security and operational standards.

Own design, implementation, testing, and releases of software platform features for MRWH. Collaborate with product management, architects, and global engineering to deliver reliable, high-performance microservices-based applications using Agile and CI practices.

Senior Software Engineer to design, develop, test, and maintain scalable enterprise solutions on the NiCE CXone platform, focusing on complex reporting. Build backend services, APIs, frontend integrations, resolve QA/production issues, contribute to architecture/POCs, improve performance and security, and mentor teammates in an Agile, cloud-native environment.

Senior Software Engineer responsible for designing, developing, testing, and supporting NICE CXone platform components. Lead complex reporting projects, build scalable microservices and responsive front-ends, enforce security and best practices, mentor teammates, and collaborate across global agile teams to deliver enterprise-grade software solutions.

The Senior Software Engineer will design, build, and maintain software, collaborate with teams, solve complex problems, and uphold code quality standards.

Design, build, and maintain test automation frameworks and scripts. Execute and analyze automated tests, perform regression testing, document issues, and collaborate with developers and cross-functional teams to improve testability and quality in an Agile environment.

Validate and verify firmware and related software by defining test scope, designing and executing test scenarios, optimizing tests, and increasing test automation coverage to ensure product quality.

Design, implement, and scale AI-augmented test automation frameworks for UI, API, performance, and reliability testing. Own automated test coverage, integrate intelligent test capabilities, build scalable test infrastructure, evaluate automation feasibility, collaborate with cross-functional teams, participate in deployment and customer troubleshooting, and travel to customer fabs to deploy and validate software.

Build and scale AI-augmented test automation frameworks for UI, API, performance, and reliability testing. Design test suites, integrate intelligent/self-healing capabilities, collaborate cross-functionally, deploy and troubleshoot software at customer sites, and drive automation coverage and infrastructure excellence.

Design, develop, and maintain scalable software to support clinical trial operations and data management. Collaborate with product, design, and engineering teams to translate requirements into technical solutions, perform code reviews, troubleshoot complex issues, and improve development processes while keeping up with emerging technologies.

Technical lead for enterprise data platform ingestion and integration. Own and govern scalable, production-grade ingestion frameworks (batch, streaming, API, event-driven), define standards for schemas and APIs, guide engineers, ensure reliability/observability/CI-CD, collaborate with security and infrastructure, and enable advanced use cases for data science, ML and LLMs while maintaining reusable libraries and cost-efficient platform designs.

Build and support scalable, low-latency search platform and ML infrastructure for query understanding, autocomplete, candidate retrieval, ranking, and personalization. Optimize reliability, latency, cost, and manage projects with limited supervision.

Lead backend design and delivery of scalable, reliable services. Hands-on Go development, API design (OpenAPI/REST), cloud-native deployments (AWS/Azure), containers (Docker/Kubernetes), observability, CI/CD and DevSecOps. Mentor engineers, guide architecture and modernization, reduce technical debt, support production incidents, and collaborate with product and stakeholders to shape roadmaps and technical direction.

Design, develop, and maintain cloud-native, multi-tenant SaaS applications across frontend and backend. Build backend services with .NET/.NET Core and C#, create responsive UIs with React or Angular, and implement microservices deployed with Docker and Kubernetes on cloud platforms. Collaborate with product, UI, platform, and DevOps teams while applying CI/CD, testing, security, and performance best practices.

Lead design and delivery of cloud-native, enterprise-grade apps: build RESTful APIs and microservices with .NET/ASP.NET Core and EF, develop React front-ends, ensure testing, security, observability, containerize with Docker, deploy to cloud (AWS/Azure), optimize databases, mentor engineers, and integrate AI capabilities where appropriate.

The Senior Software Test Engineer ensures software quality assurance for life sciences devices, overseeing test plans, test cases, and automation, while supporting development activities and facilitating continuous improvement.

Develop and maintain backend services in Python and C#/.NET, contributing to AI and ML capabilities in industrial systems while collaborating with a global team.

Lead software verification for life-sciences devices: write and review verification plans, define test strategies and plans, create and execute manual and automated tests (Reqnroll/TestComplete), investigate and root-cause issues, and support iterative product releases with a focus on quality and continuous improvement.

Lead the development of embedded software solutions by designing complex systems, mentoring junior engineers, and driving technical projects while optimizing code for performance and reliability.

Lead architecture and design of complex embedded software systems for SoC-based products. Drive technical strategy, performance optimization, hardware-software integration, and CI/CD practices. Provide technical leadership across teams, mentor engineers, influence cross-functional decisions, and collaborate with business units to align solutions with market needs.

Support, maintain, and enhance BizTalk applications across environments; troubleshoot incidents, fix bugs, perform deployments, testing, migrations, monitoring, and coordinate with cross-functional teams. Provide documentation, knowledge transfer, and on-call production support.

Design, train, evaluate, and optimize computer vision models for live multi-camera monitoring; align models to deployment constraints and maintain them in production. Build and ship a native Android app (Kotlin, Jetpack Compose, MVVM) with secure cloud integration, CI/testing, Play Store releases, and robust BLE/Wi‑Fi IoT connectivity. Collaborate with deployment and operations teams to benchmark, instrument, and iterate models and apps.

Design, build, and deploy scalable, reliable zero-trust security and API-based solutions. Implement features from design through testing and deployment, optimize distributed system performance, fix bugs, and collaborate across teams in an agile environment.

The role involves designing and building scalable backend services and APIs, ensuring code quality, and providing technical mentorship while integrating AI/ML solutions. Requires extensive experience in software development and strong collaboration skills.

Design, implement, test, and maintain microservices for a confidential computing platform (including SGX/Rust Runtime Encryption). Deploy, monitor, tune performance, participate in code reviews, and follow security best practices.