Top Software Engineer Jobs in Chennai

Design and scale cloud and Kubernetes infrastructure, distributed systems, CI/CD, observability, and deployment tooling. Build production-grade AI agents for infrastructure and engineering workflows, including tool use, evaluation, permissions, guardrails, and failure handling. Improve reliability, performance, and cloud efficiency; troubleshoot across application and infrastructure layers; mentor engineers; document architecture; and participate in on-call operations.

Build production software for automated GPU and inference cluster provisioning. Design declarative APIs, control planes, state machines, reconciliation loops, durable workflows, and self-healing systems that manage hardware from discovery through deployment, operation, repair, and decommissioning. Partner with inference and ML platform teams to model cluster topology and scheduling requirements. Own reliability, testing, CI/CD, deployment, and production operations for the platform.

Senior Software Engineer responsible for maintaining compatibility and stability of T2000/T6391 system software during Visual Studio and MSVC upgrades. Duties include build verification, compiler and runtime issue resolution, Windows compatibility testing, TPIDE test development, GUI automation, CI/CD test framework maintenance, regression testing, and process improvement. The role collaborates with international development teams and supports long-term platform quality and release efficiency.

Maintain Unix/Linux systems, build and manage CI/CD pipelines, administer artifact repositories, develop automation scripts, and support cloud and containerized environments using platforms such as AWS, Azure, Google Cloud, Docker, and Kubernetes. The role also requires familiarity with RabbitMQ and Kafka.

Build scalable, low-latency backend APIs, event-driven services, integration layers, and microservices supporting personalization and recommendation experiences. Partner with AI/ML and data engineers to deploy models, expose AI services, and develop React applications. Improve security, observability, reliability, performance, scalability, and operational efficiency while using AI-assisted engineering tools to enhance delivery and code quality.

Lead quality assurance for telecom and networking products through test planning, functional and non-functional testing, automation, API validation, release management, and defect tracking. Design testing frameworks using Playwright, JMeter, Rest Assured, TestNG, Cucumber, Java, and Python. Support CI/CD, Docker, Kubernetes, vulnerability testing, and DevOps practices while mentoring engineers and collaborating with development teams to improve test coverage and product reliability.

Build and maintain full-stack advertising features across customer-facing and internal platforms. Develop data services, visualizations, keyword-level insights, and actionable recommendations that help Merchants and Brands evaluate advertising performance and investment. Translate complex business logic into clear product experiences, integrate data workflows, run proofs of concept, improve deployment processes, and uphold testing, monitoring, reliability, and maintainability standards.

Leads the design, development, deployment, and production support of complex software systems. Makes system-level architecture decisions, ensures scalability, reliability, security, observability, and compliance, and uses AI-assisted tools responsibly. Mentors engineers, conducts design and code reviews, resolves technical blockers, improves engineering practices, and collaborates with product, architecture, security, cloud operations, and quality teams. The role requires hands-on programming, distributed-systems expertise, automated testing, CI/CD, operational readiness, and production troubleshooting.

Build and operate scalable, low-latency backend services, APIs, event-driven systems, integrations, and frontend applications supporting membership, loyalty, rewards, and consumer engagement. Configure and integrate Antavo with commerce, CRM, CDP, marketing, and data platforms. Apply secure, observable, resilient engineering practices, troubleshoot production issues, and optimize performance. The role requires strong Java and Spring Boot expertise, plus working knowledge of React, Node.js, Kafka, and SQL/NoSQL databases.

Build scalable, low-latency backend APIs, event-driven services, model-serving layers, and integrations supporting real-time and batch personalization and recommendation experiences. Design reliable, secure, observable distributed systems using Java and Spring Boot, optimize performance and operational efficiency, and integrate LLM and AI services into production applications. Collaborate with engineering leadership and use AI-assisted development tools to improve delivery and code quality.

Designs and executes functional, integration, API, automated, exploratory, and end-to-end tests for personalization, recommendation, experimentation, and consumer intelligence capabilities. Builds test suites, validates AI-driven outputs and consumer journeys, manages test data, performs cross-browser testing, partners with engineering and product teams, and improves automation coverage, regression efficiency, and defect detection.

Design, develop, and maintain high-performance consumer-facing web applications using React, TypeScript, and JavaScript. Lead frontend architecture, performance optimization, accessibility, reusable component development, API integration, experimentation, production troubleshooting, and CI/CD support. Collaborate with Product, Design, QA, Platform, and Architecture teams while mentoring engineers, conducting code reviews, supporting Agile delivery, and improving engineering quality and operational excellence.

Designs and delivers scalable, secure, distributed multi-tenant software systems across multiple services. Owns end-to-end technical delivery, translates complex business requirements into pragmatic solutions, drives coding and testing standards, and supports reliability, monitoring, and incident management. Collaborates with product and global stakeholders, identifies delivery risks, mentors engineers, and contributes to engineering excellence, operational performance, and architectural decisions.

Provides technical leadership and mentorship while designing, developing, and supporting full-stack enterprise applications. Builds Svelte and Vite front ends, Python and Django backend services, REST APIs, relational database integrations, and data pipelines. Responsibilities include architecture, secure application design, SQL optimization, legacy modernization, CI/CD support, production troubleshooting, documentation, and collaboration with distributed engineering, analytics, and business teams.

Administers and develops ServiceNow applications, including Incident, Change, Problem, Service Catalogue, CMDB, Discovery, portals, workflows, integrations, and automation. Builds and maintains scripts, business rules, UI policies, catalog artifacts, data imports, and REST/SOAP integrations. Monitors platform performance, manages security and access controls, supports compliance, collaborates with stakeholders, mentors junior staff, and contributes to Agile/Scrum/SAFe delivery and ServiceNow best practices.

Design, build, and operate scalable systems for coding evaluations, AI-generated code analysis, data generation, and agentic development workflows. Develop execution, testing, benchmarking, and quality measurement pipelines; make architectural and operational decisions; improve developer tooling; lead projects from concept through launch; and mentor engineers while maintaining high standards for reliability, security, and maintainability.

Develop a Java-based desktop IDE, coordination server, and relational data backend for a semiconductor test engineering DSL. Responsibilities include architecture, data modeling, versioning, synchronization, language editing and validation, debugging, automated testing, and platform quality. Collaborate with international engineering teams and domain experts to build a reliable, extensible development environment.

Develop a Java-based desktop IDE, coordination server, and relational data backend for a semiconductor test engineering DSL. Responsibilities include desktop UI development, data modeling, client-server synchronization, language editing and validation, architecture, debugging, automated testing, and platform quality. The role involves shaping a modular development environment and collaborating with international engineering teams and domain experts.

Develop and maintain full-stack Java/J2EE and Angular applications, APIs, microservices, and front-end/back-end components. Perform unit, integration, BDD, and UAT testing; follow TDD, Agile practices, coding standards, and SonarQube quality requirements. Refactor code, resolve defects, troubleshoot system and integration issues, and contribute across architecture, development, deployment, maintenance, and Agile ceremonies.

Designs, builds, and configures scalable data solutions using Databricks. Responsibilities include developing robust data pipelines, optimizing data workflows, supporting large-scale data processing, integrating data, managing data quality, troubleshooting technical issues, and delivering enterprise-grade analytics solutions. The role also requires collaboration with teams and stakeholders while serving at a team lead or consultant level.

Designs, develops, and maintains automated UI, API, and integration test suites and scalable QA frameworks. Integrates testing into CI/CD pipelines and applies AI-assisted tools such as GitHub Copilot to accelerate test creation and reduce flaky tests. Collaborates with developers and product teams in Agile environments. The role may also involve web, mobile, cloud, BDD, performance, and security testing.

Develop and implement complex numerical algorithms and medium-scale scientific, engineering, or simulation software using C++. Collaborate remotely with teams in the GMT time zone while communicating fluently in Russian and English. Preferred experience includes petroleum engineering, oil and gas applications, optimization, physics-based modeling, modern C++ standards, software architecture, and Java.

Develop production-grade AI-enabled platform capabilities, APIs, backend services, integrations, and reusable software enhancements. Build model integrations, prompt and retrieval workflows, extraction logic, and agent configurations while ensuring scalability, security, reliability, testing, observability, and maintainability. Collaborate with Product, Solution Engineering, Application Engineering, Platform Reliability, and Architecture teams to translate requirements into customer-facing platform solutions. Contribute to CI/CD, automated testing, deployment, documentation, and responsible AI practices.

Develop coding tasks and reference solutions for evaluating AI systems. Build deterministic verifiers, test suites, scalable backend services, and APIs. Debug complex defects, assess code quality, refactor legacy implementations, optimize performance, and evaluate AI-generated technical reasoning. Document requirements and verification criteria while independently applying software engineering judgment across algorithms, system design, testing, and reliability.

Evaluates AI-generated software for correctness, quality, efficiency, security, and maintainability. Designs programming challenges, reference solutions, test cases, and evaluation criteria. Reviews technical reasoning related to debugging, architecture, and system design, then provides structured feedback and documentation. The role requires strong programming fundamentals, software testing and code review experience, analytical problem-solving ability, and clear technical communication.