Top Software Engineer Jobs in Chennai

Lead quality engineering for membership and loyalty capabilities, designing and executing functional, integration, API, contract, automation, and end-to-end tests. Build reliable test suites, validate loyalty points and personalized recommendations, manage test data, ensure cross-browser and cross-device quality, define testing strategies, and improve coverage using AI-assisted tools. Collaborate with engineering and product teams throughout the software development lifecycle while leading quality engineers in the loyalty and personalization area.

Develop and maintain manual and automated tests for software and hardware, analyze CI test results, manage integration environments and test data, document defects, and collaborate with development teams. The role involves Python or JavaScript test automation, Jenkins-based CI integration, code reviews, AWS and VMware environments, Linux, and investigation of new testing tools and frameworks.

Develop and support scalable Java and Spring Boot backend microservices powering omnichannel inventory availability, order promising, allocation, fulfilment, and post-purchase experiences. Build event-driven processing with Kafka, integrate OMS, WMS, ERP, commerce, and fulfilment platforms, and ensure services are secure, observable, reliable, and performant. Own features from design through production, write tested code, participate in reviews, troubleshoot production issues, and improve operational efficiency.

Designs, automates, and executes functional, integration, API, contract, regression, concurrency, and performance tests for inventory, order promising, sourcing, and fulfillment platforms. Investigates defects, validates fixes, maintains regression coverage, integrates quality tests into CI/CD pipelines, and supports release readiness. The role collaborates with product and engineering teams to validate distributed commerce systems, integrations, business rules, data consistency, scalability, resilience, and consumer-impacting workflows.

Designs and develops scalable cloud-based and serverless software across the company’s platform. Builds prototypes and production services, applies AI throughout the SDLC, promotes modern Agile and Well-Architected practices, troubleshoots customer and internal issues, develops comprehensive test suites, and coaches software engineers. The role requires extensive distributed application experience and backend expertise across multiple programming languages, databases, cloud technologies, integrations, and workflow orchestration.

Designs, develops, tests, maintains, and supports full-stack features across JADE, C#/.NET, and React. Partners with product and project management, builds scalable AI-enabled workflows, integrates REST APIs, troubleshoots complex issues, and applies security, performance, scalability, and availability best practices. Owns features through their lifecycle, contributes to architectural design and peer reviews, mentors junior engineers, communicates with stakeholders, and delivers independently in Agile environments.

Develops, tests, implements, and maintains software applications and frameworks across multiple platforms. Leads application design, feature delivery, system upgrades, migrations, testing, troubleshooting, documentation, and process improvements. Provides Level 3 support, recommends architecture and security improvements, ensures code quality, collaborates with QA and technology partners, and mentors less experienced engineers.

Build and own end-to-end evaluation frameworks for LLMs and multi-step AI agents, including benchmarks, automated and human-in-the-loop evaluators, golden datasets, regression suites, production monitoring, and quality dashboards. Partner with research, product, Trust & Safety, and legal teams to define rigorous metrics and translate evaluation results into training and deployment decisions. Mentor engineers and establish evaluation best practices.

Architect and develop security platform services supporting secrets and key management, identity and access management, onchain security, policy and risk management, and vulnerability management. Define technical roadmaps, build scalable cloud systems using Go or Java, manage project deliverables, mentor engineers, review designs, and maintain backend systems. The role requires solving complex technical problems, ensuring security and operational integrity, and collaborating with engineering, product, design, and leadership teams.

Leads the design and improvement of DevOps platforms, CI/CD pipelines, infrastructure automation, cloud environments, container orchestration, observability, security controls, and SRE practices. Partners with engineering teams to improve delivery speed, reliability, deployment quality, and developer self-service. Provides technical leadership, mentoring, governance, incident response, resilience engineering, and cloud cost optimization across production and non-production workloads.

Lead hands-on modernization of a live Vue and PHP application by converting legacy jQuery pages into accessible, responsive Vue components. Establish front-end architecture, component standards, CSS and state-management patterns, performance practices, testing, and code-review quality. Collaborate with product and UX teams, integrate RESTful APIs, resolve UI bottlenecks, and use AI-assisted development tools to accelerate delivery and navigate legacy code.

Design, develop, test, review, maintain, and support software applications and components. Own features, define component architecture, contribute to product architecture, use test-driven development, and collaborate with clients post-sale on implementations. The role requires hands-on Java and SQL development, database experience, teamwork, independent execution, and the ability to learn emerging technologies.

Design, build, and own end-to-end web application modules across backend, frontend, and infrastructure. Integrate LLM-powered features (RAG, embeddings, prompt engineering), ensure code quality with tests and CI/CD, optimize performance and databases, participate in architecture and client discussions, and mentor peers while driving reliable delivery and technical vision.

Design, build, and maintain scalable data pipelines, ETL/ELT processes, data warehouses, data lakes, and analytics infrastructure on GCP. Develop data models and schemas for marketing attribution and campaign analytics, while ensuring data quality, security, privacy, governance, and regulatory compliance. Implement monitoring, alerting, troubleshooting, performance tuning, and capacity planning. Collaborate with data scientists, analysts, product teams, and business stakeholders to deliver reliable marketing data solutions.

Build scalable, responsive React interfaces using JavaScript, HTML, and CSS. Develop reusable components, optimize rendering and Core Web Vitals, ensure cross-browser compatibility, write unit and end-to-end tests, debug browser issues, and implement PWA features using Web APIs, caching, and service workers. Collaborate with Product, Design, and Backend teams to deliver reliable, high-quality web experiences.

Develop, test, deploy, integrate, and maintain backend systems using Python and Django. Follow SDLC practices, coding standards, documentation, and structured development approaches. Create unit and integration verification plans, improve system stability through user feedback, and prepare technical onboarding materials. Collaborate with engineering teams to deliver maintainable web applications and business-focused features.

Design, build, and maintain scalable Workato integrations and custom connectors. Architect automation frameworks, integrate AI/LLM services, build ETL/ELT pipelines, and ensure governance, reliability, and performance across enterprise integrations. Collaborate with business and engineering teams, manage deployments, troubleshoot production issues, and mentor stakeholders.

Build and scale HighLevel’s Labs platform for feature flags, staged rollouts, experimentation, and customer feedback. Develop reliable backend services, APIs, frontend workflows, data models, caching, and distributed systems using modern technologies. Own complex features from design through production, contribute to architecture and technical decisions, implement observability and testing, support incident resolution, and collaborate with product, design, and engineering teams. The role also involves AI-assisted development, production support, code reviews, and mentoring.

Design and build distributed systems for a high-performance CI/CD execution platform. Responsibilities include orchestrating Supabase Branch lifecycle operations, provisioning ephemeral sandboxed environments on AWS, scheduling concurrent builds, optimizing pipelines through caching and artifact reuse, handling retries and failures, instrumenting observability, and developing configuration and infrastructure integrations. The role requires strong Go and TypeScript skills, cloud infrastructure experience, and a production operations mindset.

Lead QA strategy and roadmap for AI and SaaS platforms. Design and implement scalable automation frameworks, validate AI/ML workflows, perform performance/security/regression testing, ensure end-to-end coverage across microservices, APIs, mobile and web in multi-tenant cloud, and document QA processes while partnering with engineering and data science teams.

Implement and support enterprise content management products in customer environments. Responsibilities include system implementations, business rule analysis, custom batch-job development, large-scale file migrations, requirements analysis, process documentation, system configuration, and customer consultation. The engineer will work with Documentum, Kofax Tungsten Capture, KTM, Java, VB.NET, and related ECM technologies, while providing occasional afternoon, evening, and weekend support based on business urgency.

Develop scalable backend services and APIs, create coding tasks and deterministic verifiers for AI systems, debug complex codebases, optimize performance, refactor legacy systems, implement features, and provide technical reviews and reasoning. The role is remote, contract-based, and part-time at 15–20 hours per week.

Own end-to-end machine learning for ecommerce discovery, including recommendation and ranking models, low-latency Python serving, batch pipelines, A/B testing, and production deployments. Operate containerized services on Kubernetes, monitor systems, and extend LLM-powered shopping and catalog applications. The role requires strong recommender systems, search ranking, embeddings, vector databases, streaming, and production ML experience.

Develop and optimize database solutions using MS SQL Server and PostgreSQL. Involves ETL processes, data warehousing, reporting, and performance tuning within a collaborative environment.

Design, develop, and implement scalable Salesforce solutions with emphasis on Agentforce and AI-driven automation. Build Apex, LWC, Flows, and integrations (REST/SOAP), ensure data quality and security, optimize AI agent behavior, and support deployment via CI/CD and Salesforce DX while monitoring and improving agent performance.