Top Software Engineer Jobs in India

The Sr. Software Development Engineer develops quality software, participates in Agile practices, mentors developers, and owns technical processes, ensuring performance and scalability.

Build and lead development of a high-performance analytics platform and scalable web applications. Design service-oriented architectures and microservices, implement algorithms and data processing at scale, mentor engineers, drive feature planning, and apply strong software, database, and CI/CD practices across full-stack (UI to backend) systems.

Lead design and deliver high-performance C/C++ Unix/Linux payment systems with strong cryptography and HSM expertise. Own architecture, optimize performance, drive CI/CD, mentor engineers, coordinate cross-functional teams, and ensure system reliability and security.

Design, develop, test, and maintain scalable, secure software. Contribute to architecture, ensure high test coverage, optimize performance, implement observability, perform code reviews, troubleshoot distributed systems, and ensure operational readiness and security compliance.

Lead design and implementation of full-stack web applications and scalable data pipelines. Build intuitive UIs, backend data models, performant analytics, write and review tests, mentor junior engineers, and collaborate with product and design to deliver customer-focused solutions.

The role involves designing and developing software for Mastercard's Core Payments, leading projects, coordinating with teams, and ensuring quality and performance.

Develop, integrate, validate, and optimize real-time edge road perception systems on automotive and embedded platforms. Deploy AI perception models, build benchmarking and regression testing pipelines, profile and optimize inference on SoCs (Jetson, Snapdragon, ARM), and collaborate across teams to ensure low-latency, reliable computer vision performance.

Design, build, and deploy backend services and dashboards to automate traffic data processing. Own full stack including DevOps, CI/CD, testing, and APIs. Collaborate with teams and customers to create scalable, reusable solutions for near-real-time traffic mapping and data delivery to automakers.

Lead integration and deployment of Vision Foundation and Vision-Language Models into scalable production systems. Build APIs, inference pipelines, evaluation and benchmarking frameworks, and data pipelines for large-scale image/video multimodal workloads. Collaborate with data scientists to optimize models, analyze failures, and support retrieval-augmented systems using embeddings and vector databases.

Lead design, development, and deployment of PEGA-based solutions; oversee delivery team technical direction; collaborate with distributed developers, QA, PM, and product teams; work in Agile/Scrum; perform BPM modeling and JAD workshops; troubleshoot production incidents; enforce PEGA guardrails and maintain quality with automated and manual unit tests; mentor PEGA developers and provide technical leadership.

Design, deliver, and operationalize LLM- and generative AI-driven platform services. Build scalable model-serving, orchestration, MLOps, observability, data lineage, and evaluation frameworks to productionize multi-step automated workflows.

As a Senior Software Backend Engineer, you'll design and optimize Crunchyroll's subscription and payments platform while collaborating with various teams.

Lead the development of Identity Threat Detection and Response capabilities, designing microservices, building decision engines, and preparing infrastructure for ML. Focus on operational excellence and collaboration with the Platform Engineering team.

The Sr. Software Engineer will develop feature extraction engines, collaborate with data scientists, and test software systems while working with complex file formats and reverse engineering.

The Senior Software Engineer II will build and optimize data pipelines, manage data using Snowflake, design ETL/ELT solutions, integrate CI/CD pipelines, and ensure high-quality data processing and compliance with standards.

The Principal Software Engineer will design, develop, and maintain high-performance cloud-native healthcare applications, ensuring scalability and reliability while guiding engineering teams and integrating AI/ML capabilities.

The Senior Software Engineer will build full-stack solutions, collaborate across teams, mentor engineers, enforce coding standards, and drive continuous improvement through automation and testing.

As Principal Software Engineer/Solution Architect, lead architecture for a decision management platform, focusing on API and service layers, ensuring security, scalability, and efficiency while guiding engineering teams through design and implementation.

The Senior Software Engineer - Test will lead QA and automation testing for ecommerce payment solutions, mentor junior engineers, and drive technical decisions within Agile teams.

Lead the design and development of scalable, cloud-native applications, mentor engineers, and drive the technical vision for analytics-driven products using modern technologies.

Develop and own components of a large-scale distributed system, troubleshoot technical issues, and collaborate with teams to ensure cloud infrastructure health.

The Staff Software Development Engineer will design and implement scalable backend services, mentor junior engineers, and ensure code quality while collaborating across teams in a cloud-based environment.

Lead and deliver moderately complex software initiatives; design, code, test, debug, and document solutions. Drive Spark/Python data engineering, optimize enterprise-scale data environments, tune distributed systems, guide junior staff, and support GenAI/LLM adoption.

Lead software engineering projects, resolve technical challenges, develop and maintain Adobe components, and collaborate with cross-functional teams to optimize solutions.

Lead Windows-to-cloud migrations for diverse workloads: develop and run test plans, validate functionality, externalize configuration, troubleshoot platform and network issues, create scripts/runbooks, and coach application teams to operate reliably in AWS.