Top Software Engineer Jobs in India

Lead design, develop, test, and deploy server-side Java applications and microservices. Implement CI/CD, write maintainable code and tests, troubleshoot production issues, review code, and improve processes while working with cross-functional squads to deliver high-quality patent data.

Lead cloud modernization and migration efforts, design and develop cloud-native solutions, build and maintain data pipelines, apply DevSecOps and CI/CD practices, collaborate cross-functionally, and ensure code quality, security, and documentation.

Design, develop, and maintain scalable on-prem and cloud-native (AWS) services and APIs for equity direct indexing. Build distributed systems, write tests, perform code reviews, and collaborate with product and investment teams to ensure integrated, regulatory-compliant solutions.

The Senior Software Engineer will design, develop, and maintain software systems in supply chain operations, lead technical direction, and enhance engineering capabilities.

This role involves designing and developing ecommerce solutions, leading architecture, and mitigating bots while ensuring scalable platform operations.

The Senior Software Engineer will design, develop, and maintain software applications, providing technical direction and ensuring high-quality solutions in collaboration with cross-functional teams.

The Lead Software Engineer will design, build, and scale e-commerce solutions, leveraging AI and bot mitigation strategies while leading technical development in a global environment.

The Lead Software Engineer oversees full-stack development, collaborating with teams to build scalable applications, ensure high-quality code, and promote best practices. This role entails mentoring, system optimization, and integration with cloud services, while utilizing microservices and APIs.

Lead the design, development, and architecture of Windows desktop applications, ensuring performance, accessibility, and maintainability. Collaborate with teams to plan features and manage the full lifecycle of software releases.

Lead the design and development of native Windows desktop applications. Ensure best practices in code architecture, performance, and accessibility, while collaborating with cross-functional teams on UI/UX planning and maintenance.

The Senior Software Engineer will build and maintain foundational services and SDKs, optimize functionality, and collaborate with product teams to enhance user experiences.

The Senior Software Engineer builds foundational services and SDKs for Speechify, focusing on API design, system optimization, and collaboration with product teams.

Lead the architecture and development of Windows desktop applications, enforce best practices, manage full feature lifecycle, and collaborate with cross-functional teams for an accessible user experience.

The Senior Software Engineer will collaborate with product teams, optimize functions for faster performance, and develop cloud services using Kotlin.

The Senior Software Engineer will collaborate with product teams to optimize and develop foundational services and SDKs, enhancing user experience through efficient APIs and systems. This role includes shipping cloud functions and backend services using Kotlin and may work with GCP.

Lead design and implementation of scalable, fault-tolerant backend systems and APIs handling millions of search requests. Architect solutions, mentor engineers, drive technical decisions, improve CI/CD and testing, and build high-performance distributed services.

Design, build, and operate high-scale distributed backend systems and microservices. Lead complex features end-to-end, optimize performance and reliability, mentor engineers, stay hands-on with coding, handle production incidents and drive architectural improvements.

Design, build, and deploy end-to-end AI/ML and generative solutions (RAG, chat/assistants, forecasting, recommendations). Engineer domain knowledge bases, handle unstructured data and OCR, implement evaluation/monitoring, ensure compliance and responsible AI, collaborate with stakeholders, and operationalize models in production across cloud platforms.

Design and deliver end-to-end AI/GenAI solutions (RAG, chat/agents, forecasting, recommendations); build domain knowledge bases and regulatory filing automation; manage unstructured data, retrieval, prompt/agent design, evaluation, monitoring, synthetic data, and MLOps integrations while ensuring compliance and stakeholder alignment.

Design and deliver end-to-end AI/ML and Generative AI solutions (RAG, chat/assistants, classification, forecasting, recommendations). Build domain knowledge bases, handle unstructured data/OCR, author prompts and agents, ensure responsible AI and compliance, operationalize models into production, monitor evaluation and drift, generate synthetic data, and collaborate with stakeholders and platform teams for scalable, secure deployments.

Design, build, and deploy end-to-end AI/ML and generative solutions (RAG, chat/assistants, classification, forecasting, recommendations). Engineer domain knowledge bases, ensure compliance and responsible AI, prepare unstructured data, design retrieval and prompt/agent systems, evaluate/monitor models, generate synthetic data, and partner across product, operations, and platform teams for scalable production integration.

Design, build, and deploy production-grade AI/ML and agentic systems (multi-agent workflows, RAG, evaluation, memory, prompt optimization). Collaborate with data science, platform, MLOps, and cloud teams to implement scalable, observable solutions and CI/CD, and mentor junior engineers.

Design, build, and deploy production-grade AI/ML and agentic AI solutions (multi-agent workflows, RAG, evaluation harnesses). Implement backend inference services, ETL/ELT pipelines, observability, and cloud deployments. Collaborate with data science, platform, and DevOps teams, mentor junior engineers, and contribute to AI architecture, SDKs, and reusable agent starter packs.

Design and deliver end-to-end AI/ML and generative solutions (RAG, chat/assistants, classification, forecasting, recommendations). Build domain knowledge bases, ensure compliance and responsible AI, handle unstructured data and retrieval, design prompts/agents, evaluate/monitor models, generate synthetic data, deploy models in enterprise environments, and collaborate with stakeholders and platform teams.

Design, build, test, release and maintain native iOS applications. Own app lifecycle, optimize performance, fix bugs, mentor peers, collaborate with product/design/QA, and evaluate new mobile technologies.