Top Software Engineer Jobs in India

Design, develop, and optimize web-based sales trading applications using Core Java and modern web frameworks. Build UI automated test frameworks, collaborate with global cross-functional teams, participate in code reviews, and recommend architecture and workflow improvements to meet deadlines and performance goals.

Deliver and maintain front-office trading UI applications: implement features, unit/functional test code, collaborate with business analysts and distributed GUI teams, ensure performance, memory tuning, security controls, and regulatory compliance.

Design, develop, validate, and troubleshoot network solutions spanning wireless (WLAN), switching, and network software/automation. Implement test plans, perform packet-level diagnostics and RCAs, collaborate with internal and outsourced partners, and ensure high-availability and security of switching and WLAN infrastructures.

Develop and optimize machine learning infrastructure and models for ad technology. Collaborate with teams for data analysis and engineering.

Design, develop and maintain Oracle-based applications: translate low-level designs into PL/SQL code, write packages/procedures/functions/triggers, produce unit tests and technical specifications, perform peer reviews, assist testing and product teams, and support performance tuning and release/configuration management.

Design, implement, and optimize ultra-low-latency equities trading systems in Rust and C++. Lead migration of C++ components to Rust, apply low-latency techniques (CPU pinning, lock-free structures, kernel bypass), ensure concurrency, reliability, and sub-microsecond performance, and provide L3 production support and telemetry for trading systems.

Design, architect, code, test, and debug Linux-based software solutions; develop prototypes; investigate and root-cause field issues; champion software best practices; support CI/CD deployments and containerization; collaborate with cross-functional teams while ensuring compliance with regulated standards.

Lead and mentor a development team, participate in technical design and delivery, resolve technical issues, evaluate new technologies (including AI-assisted tools), collaborate with PMs and cross-functional teams, ensure on-time, on-budget delivery, maintain documentation and compliance controls.

Designs and builds application components and backend systems for the dCDTS platform. Provides full lifecycle development-to-production support, performance tuning, security implementation, data modeling, environment setup with infrastructure, and collaborates with QA and Product to deliver reliable, maintainable, and scalable solutions.

Design, develop, and maintain scalable SAP Commerce Cloud e-commerce applications. Implement CI/CD and automated tests, contribute to architecture, perform code reviews, collaborate with cross-functional teams, and mentor junior developers to deliver high-quality digital commerce solutions.

Architect and build a greenfield backend microservice module using Java and Spring Boot. Design RESTful APIs, data models, and persistence with Hibernate and MySQL/Snowflake. Ensure production-grade security (Azure AD, WAF), containerize with Docker/Kubernetes on Azure, lead code reviews, mentor engineers, and manage delivery of product milestones.

Develop and maintain automated API tests and frameworks using Postman and API automation tools. Integrate tests into CI/CD pipelines, perform API functional and regression testing, debug issues with developers, and follow Agile SDLC practices to ensure reliable, scalable web services.

As a Senior Software Engineer - Generative AI, you'll architect and build AI systems, design platforms for AI agents, and lead development efforts, ensuring enterprise reliability.

As a Sr. Principal Software Engineer, you will work on Virtuoso Electrically Aware Design (EAD), debug complex problems, produce innovative solutions, and mentor junior members.

Design and implement verification environments for pre-silicon, create test plans, debug issues, and develop tools for testing Digital Design and SoCs.

The Lead Software Engineer at Cadence will support R&D for application engineers, analyze/debug problems, and develop features for electronic design software.

The Lead Software Engineer will design, develop, troubleshoot, and debug complex software while collaborating within a team oriented environment. Strong communication skills and ability to learn new technologies quickly are essential.

The Senior Software Engineer will develop mobile applications, perform impact analysis, manage change control, and ensure deliverable quality while working in Agile projects.

Design, build, and lead development of scalable Java-based cybersecurity services incorporating agentic AI. Mentor engineers, collaborate with product and security stakeholders, maintain CI/CD, testing, microservices, and cloud deployments, and produce technical documentation.

Lead end-to-end technical implementations for enterprise customers: develop Python microservices and APIs, build data ingestion and validation pipelines, integrate LLM/NLP and ML components (RAG/embeddings), deploy services to cloud, ensure reliability and observability, troubleshoot production issues, and collaborate with Customer Success and ML teams while mentoring junior engineers.

Manage a team of developers while designing and deploying scalable applications on Cloud, optimizing performance, and leading software architecture decisions.

The Principal Software Engineer will lead architectural development, mentor teams, integrate AI/ML tools, and align technical strategy with business outcomes.

The Lead Software Engineer will oversee software development projects, lead technical direction, enhance coding standards, and implement CI/CD practices.

The role involves designing, developing, and deploying applications using Microsoft technologies. Responsibilities include collaborating with teams, managing databases, mentoring junior developers, and engaging with clients.

The Staff Data Engineer will develop real-time data ingestion systems, manage production data pipelines using PySpark, and collaborate with a team to create scalable data solutions.