Top Software Engineer Jobs in Chennai

Design, develop, test, maintain, and support secure, scalable Java and Angular software applications. Translate business requirements into technical solutions, collaborate with Product and QA teams, participate in Agile delivery, and support CI/CD, deployment, monitoring, and production activities.

Designs portions of engineering solutions for software, products, systems, and integrated solutions. Executes test plans, validates engineering specifications, and collaborates with internal and external development partners. Works cross-functionally to deliver reliable, cost-effective, high-quality solutions for low- to moderately complex products. Requires an engineering or computer science degree, 0–2 years of experience, familiarity with engineering design tools, and foundational hardware and electrical knowledge.

Build scalable full-stack applications, AI-powered solutions, automation workflows, and software agents using Java and Python. Translate business requirements into secure technical solutions, develop CI/CD pipelines, test and troubleshoot applications, monitor performance, and collaborate with stakeholders on agile delivery. The role also involves Kubernetes, distributed systems, agent orchestration, enterprise integrations, and adherence to security and quality standards.

Design, develop, and deliver scalable front-end applications, services, APIs, and reusable UI components. Write clean, maintainable code; build proofs of concept; ensure software quality and maintainability; and collaborate within an agile team using Angular, TypeScript, JavaScript, testing tools, GitHub, JIRA, and Figma.

Design, develop, integrate, test, and deploy distributed software platforms for semiconductor test solutions. Build C#/.NET applications, APIs, SDKs, services, messaging systems, and data pipelines using Kafka or Pulsar and PostgreSQL. Apply TDD and BDD, debug multi-component systems, integrate with equipment and hardware, and collaborate with global engineering teams while owning features through production.

Build production-grade generative AI applications and scalable Python pipelines using LangChain, LangGraph, and MCP. Architect distributed systems and modular Angular microfrontend applications, deploy workloads on Azure, and implement observability with Coralogix and LangSmith. Collaborate with cross-functional teams to deliver enterprise AI solutions. Preferred experience includes LLM fine-tuning, prompt engineering, Docker, Kubernetes, MLOps, and automated deployment pipelines.

Build and maintain backend services and APIs for a media assets platform, including permissions, CDN delivery, image and video processing, usage tracking, and AI-powered media features. Use AI tools and agents throughout the software development lifecycle, while owning design, testing, code review, debugging, documentation, production operations, and incident response. Collaborate across teams and mentor engineers on responsible AI-assisted development.

Design and implement full-stack features with minimal guidance. Collaborate with PMs, UX, QA, and engineers. Build frontend components (React/Angular) and backend services (Java/Kotlin/.NET). Develop and consume RESTful APIs, use Git, Gradle/Maven, and troubleshoot production issues. Participate in code reviews, follow architectural patterns, and support delivery during critical phases.

Design, develop, and maintain scalable RESTful APIs, integrate with backend systems, and collaborate with teams to deliver solutions. Enhance API performance and documentation, while ensuring security and compliance.

Develop and enhance custom software components using Informatica PowerExchange, data integration techniques, real-time processing, and complex workflows. Collaborate across teams, make technical decisions, improve processes, troubleshoot data exchange systems, and mentor junior engineers while ensuring scalable, reliable, and high-performing solutions.

Develop and enhance custom software solutions using Java and Spring Boot. Design scalable applications, build RESTful APIs, optimize database queries, troubleshoot software issues, and participate in agile development. Collaborate with cross-functional teams to gather requirements, document technical processes, contribute to solution design, and support junior team members through guidance and best practices.

Develop and enhance custom software components using Spring Boot, RESTful APIs, agile practices, and scalable application design. Collaborate across teams, make technical decisions, troubleshoot performance issues, improve development processes, and mentor junior engineers. The role requires software development lifecycle knowledge, version control, continuous integration experience, and at least five years of Spring Boot experience.

Develop full-stack enterprise applications using Java and modern frameworks, including front-end and back-end components, APIs, databases, cloud-native technologies, and CI/CD pipelines. Use AI copilots and LLM tools for coding, debugging, testing, documentation, and RAG feature integration. Collaborate with architects and AI specialists to deliver scalable, high-quality software using agile and enterprise engineering practices.

Build agentic AI applications and production-ready software using LLM tooling, RAG pipelines, vector databases, API integrations, and modern development practices. Responsibilities include implementing agents, prompts, memory, evaluation loops, ingestion and embedding services, enterprise integrations, testing, observability, safety controls, CI/CD, rapid prototyping, and stakeholder communication. The role requires strong software engineering fundamentals, hands-on AI development experience, an AI project portfolio, and at least 7.5 years of Java full-stack development experience.

Develop and enhance scalable full-stack enterprise applications using Java and modern frameworks. Build frontend and backend components, integrate AI services and APIs, implement RAG features, and use AI-assisted development tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while applying software engineering, SDLC, agile, quality, and CI/CD practices.

Develop full-stack enterprise applications using Java and modern frameworks, with front-end and back-end integration, AI-assisted development tools, and scalable engineering practices. Build and enhance software components, integrate AI services and APIs, implement RAG features, and collaborate with architects and AI specialists. The role requires strong SDLC and enterprise engineering knowledge, full-stack development experience, and the ability to use copilots and LLM-based coding assistants while maintaining quality.

Develop, design, code, and enhance custom software components using modern frameworks and agile practices. Translate complex business requirements into scalable technical solutions, apply data modeling and database design techniques, optimize performance, and coordinate cross-functional delivery. Serve as a subject matter expert, make team-level decisions, establish development best practices, collaborate across teams, and mentor junior engineers.

Develop full-stack enterprise applications using Java and modern frameworks, including front-end and back-end components, APIs, databases, cloud-native technologies, and CI/CD pipelines. Use AI copilots, LLM-based coding tools, and pre-built AI services to accelerate coding, testing, debugging, documentation, and integration. Collaborate with architects and AI specialists while delivering scalable, high-quality software solutions.

Build and productionize agentic AI applications using LLM tooling, RAG pipelines, vector search, AI APIs, and enterprise integrations. Develop agents, prompts, memory, evaluation loops, observability, guardrails, and CI/CD pipelines. Create prototypes, write automated tests, implement safety controls, and integrate APIs, event streams, and data sources. Communicate tradeoffs and iterate rapidly with stakeholders. The role requires Java full-stack experience alongside hands-on AI application development.

Build and integrate agentic AI applications using LLMs, RAG pipelines, vector databases, AI APIs, enterprise integrations, and evaluation frameworks. Develop clean, testable software, CI/CD pipelines, safety controls, observability, and robust error handling. Prototype rapidly, demonstrate solutions, communicate tradeoffs, and evolve experimental systems into production applications. The role requires strong Java full-stack experience, hands-on AI development, and a portfolio of AI projects.

Develop and optimize enterprise Smartsheet solutions and Power BI analytics platforms. Build dashboards, semantic models, DAX measures, automated workflows, integrations, data pipelines, governance standards, and executive reporting. Collaborate with stakeholders, troubleshoot performance and refresh issues, provide training, and support solution adoption. The role requires mandatory five-day office attendance from designated Indian locations and support availability until 11 AM PST.

Develop, enhance, test, and maintain custom software components for multiple clients. Analyze requirements, design scalable solutions, write and review code, troubleshoot issues, and collaborate with cross-functional teams. The role requires expertise in payments fundamentals, software development lifecycle methodologies, APIs, integrations, and Git, along with independent ownership and contribution to technical discussions.

Develop and enhance full-stack enterprise applications using Java and modern frontend frameworks. Build backend and frontend components, integrate AI services and APIs, implement RAG features, and use AI-assisted coding tools for development, debugging, testing, and documentation. Collaborate with architects and AI specialists while following enterprise engineering, SDLC, agile, scalability, quality, and CI/CD practices.

Develop and deploy scalable full-stack enterprise applications using .NET, C#, Python, React or Angular, and multi-cloud platforms. Design APIs, microservices, event-driven integrations, and practical AI features using Generative and Agentic AI frameworks. Support containerization, infrastructure as code, CI/CD, performance, security, testing, and cloud-native implementation across AWS, Azure, and Google Cloud. Collaborate with architects, DevOps, product, and infrastructure teams while contributing to solution design, mentoring, and hands-on coding.

Develop and enhance custom SAP software solutions using ABAP for HANA. Design scalable applications, optimize performance, integrate SAP with enterprise systems, translate business requirements into technical specifications, and work within agile and continuous integration processes. Serve as a subject matter expert, make team decisions, collaborate across teams, improve development processes, and mentor junior engineers.