Top Software Engineer Jobs in India

As a Backend Software Engineer, you'll design, develop, and implement software solutions, ensuring quality through unit testing and continuous integration while collaborating with cross-functional teams.

Lead design and development of scalable Microsoft Power Platform solutions (Dataverse, Power Apps, Power Automate) integrated with Azure services. Drive architecture, implement plugins and APIs using C# and JavaScript, troubleshoot complex issues, reduce technical debt, and mentor engineers to deliver secure, reliable enterprise automation.

Lead design, development, integration, and delivery of scalable, secure solutions on the Kortex platform using Microsoft Power Platform and Azure. Build Dataverse tables/plugins, model-driven Power Apps, Power Automate workflows, Azure Functions and API integrations; troubleshoot issues, manage technical debt and third-party currency, and mentor engineers through the agile lifecycle.

Lead design, build, operate, and integrate Nike's multi-cloud infrastructure platforms. Drive technical priorities, define best practices, mentor engineers, and deliver observability, Kubernetes-based control plane solutions, and cloud integration for partners and applications.

Lead and manage engineering teams to deliver high-quality mobile software solutions. Oversee timelines, risk, and resource allocation; mentor staff; improve engineering processes; collaborate with product and stakeholders; enforce standards, peer reviews, testing, CI/CD, and production observability.

The Software Engineer will design, build, and maintain full-stack applications, focusing on Python FastAPI backend and React/Next.js frontend, ensuring integrations and API connectivity across enterprise systems while adhering to engineering standards.

The Software Engineer II, Application SRE role involves designing resilient cloud systems, automating operations, ensuring high reliability, and collaborating on SRE best practices in a telecom environment.

Develop, maintain, and design full-stack applications using Python FastAPI for the backend and React/Next.js for the frontend, ensuring integration, testing, and collaboration across teams.

Develop and maintain full-stack applications using Python and React/Next.js, focusing on both front-end and backend services, ensuring quality and integration with enterprise systems.

The Software Engineer will translate business needs into Salesforce implementations, optimize configurations, troubleshoot issues, and maintain documentation.

As a Software Engineer, you will design end-to-end architectures, optimize testing environments, and build AI tools to enhance developer experience, focusing on automated testing and CI/CD integrations.

Manage a team of software engineers to develop AI solutions, focusing on statistical and machine learning models. Collaborate with cross-functional teams and ensure high quality in software delivery.

As a Software Engineer - L3 Support, you will resolve complex Ubuntu-related issues, collaborate with teams, and participate in upstream communities to drive bug fixes and improvements.

As a Software Engineer, you will resolve complex customer issues related to Ubuntu and open source software, participate in upstream communities, and develop and review code across multiple layers of the software stack.

You will diagnose and troubleshoot complex customer issues, develop defect fixes, and perform root cause analysis while collaborating with multiple teams.

The role involves software engineering tasks using Java within the Macro Middle Office, focusing on senior-level responsibilities.

Develop and maintain scalable full-stack web applications using .NET Core, Angular and React. Build and operate Azure cloud services (Functions, Key Vault, Storage), design APIM policies, implement RESTful microservices, participate in code reviews, CI/CD, troubleshooting, and collaborate with cross-functional teams to deliver performant, maintainable solutions.

The Software Engineer II designs and implements SAP Fiori/UI5 applications and ABAP backend solutions, collaborating with teams to enhance SAP functionalities and drive innovation in technical specifications and integrations.

Designs, builds, tests, implements, and supports multi-tier business applications. Analyzes requirements, codes and configures components, manages change control/versioning, prepares test plans, performs regression and integration testing, and collaborates with other IT teams to deliver solutions.

Design, build, test, implement and support multi-tier business applications. Analyze requirements, code and configure components, perform integration/regression testing, manage change control/versioning, produce design and test documentation, and collaborate with IT teams to ensure successful deployments and support.

As a Software Engineer, you will collaborate with teams to design and develop web applications, focusing on UI design and data visualization using real-time data.

Lead design and delivery of high-scale, resilient AI inference data plane services. Architect distributed inference systems, optimize performance (tensor/data parallelism, KV cache, routing), mentor engineers, collaborate cross-functionally, operate services with strong observability and SLOs, and support hosting large generative models on specialized hardware.

Design, build, and operate scalable, multi-tenant serverless inference services. Improve throughput, GPU utilization, reliability, observability, capacity management, and automation. Collaborate with platform and GPU teams, contribute to architecture and traffic management, participate in on-call rotations, and lead incident reduction and continuous improvement.

Lead full‑stack engineering delivery using C#/.NET backends and Angular frontends across Azure and on‑prem environments. Own SDLC from design through production support, embed security and quality-by-design, mentor engineers, and collaborate with product, QA, and DevOps to deliver scalable, compliant healthcare solutions.

Design, develop, and deploy AI/ML solutions focusing on deep learning and conversational AI, leveraging cloud-native architecture on Google and AWS platforms.