Top Software Engineer Jobs in Chennai

Design and build the on-prem software stack for ModelVault appliances: containerized inference engines, model integration (LLMs/vision), deployment tooling, CLIs/GUI/APIs, OS and GPU setup, remote updates, telemetry, and collaborate with customers and founding team to iterate and scale the engineering org.

Lead backend architecture and engineering: design scalable APIs and services, mentor engineers, write complex code, enforce best practices for databases, testing, observability, and integrate ML/LLM workloads.

Design, develop, and maintain scalable backend services; implement secure APIs; optimize system performance and reliability; collaborate with cross-functional teams.

Design, implement, and execute automated test scripts (Playwright + TypeScript) and test plans for enterprise software. Work within scrum teams to verify user stories, create test reports, convert manual tests to automation, develop API test frameworks, and track defects using tools like Jira/Zephyr. Advocate for product quality and collaborate across distributed teams.

Design, develop, maintain, and optimize backend and big-data systems for Binance's Web3 security domain. Build scalable, high-concurrency services, improve security tooling and threat detection, work with data teams on collection and processing, and collaborate with cross-functional and global stakeholders to deliver security-focused technical solutions.

Configure, implement and support ERP/BI solutions (PeopleSoft) as a Software Configuration Engineer. Work from Chennai (relocation acceptable except Hyderabad). Requires 5-7 years experience and participation in interviews and hiring process as requested.

Engineer III responsible for developing cloud-based network management software, integrating network devices, optimizing performance, and mentoring junior engineers.

Lead architecture and delivery of complex, multi-service features for the data connector ecosystem. Set code quality and testing standards, mentor engineers, resolve escalated customer issues, drive resilient microservices design, and champion AI-native engineering tools and governance across the organization.

Lead the technical strategy and architecture for Appian's platform: design distributed, cloud-native systems, integrate AI features, enforce architectural governance, resolve critical production incidents, build developer frameworks, and mentor senior engineers to drive platform scalability, resiliency, and developer productivity.

Lead Software Engineer driving AI-first tooling, SDLC automation, and developer productivity. Build internal tools and developer platforms, implement CI/CD and automation, and integrate generative AI into the software development lifecycle. Requires 6+ years engineering experience.

Lead redesign of Appian's Mobile Branding framework and end-to-end branding pipeline. Modernize build and provisioning systems for iOS and Android using microservices, CI/CD, AWS infrastructure, and infrastructure-as-code to automate builds, reduce manual intervention, and accelerate customer delivery while mentoring cross-functional teams.

Lead quality strategy and test automation for personalization, recommendation, experimentation and consumer intelligence. Build and maintain automated test frameworks (API, integration, contract, E2E), integrate quality into CI/CD, validate ML-driven outputs and consumer journeys, manage test data/environments, and coach engineers to improve release reliability and engineering quality.

Design, build, and maintain production-grade microservices and web applications to power personalization and recommendations. Implement model-serving and inference integrations, ensure resiliency, observability, and low-latency performance, work with event-driven and caching patterns, collaborate with AI/ML and data teams, drive technical designs, mentor engineers, and operationalize services for production readiness.

Develop embedded firmware and drivers for NCS products using Embedded C and RTOS. Work with microcontrollers and low-level interfaces (SPI, I2C, UART), toolchains (MPLAB), version control, and debugging tools through the full product lifecycle. Collaborate with teams and communicate effectively while performing independent development and troubleshooting.

Own end-to-end architecture and roadmap for a network monitoring product: API and UI, topology and dependency modeling, discovery/onboarding, alert history screens, data contracts with telemetry/classification services, performance-focused topology visualizations, cross-team technical leadership, and mentoring.

Lead test strategy and automation across UI, API, and GraphQL. Build and evolve automation frameworks, integrate AI/LLM evaluation, optimize CI/CD test pipelines, implement performance and monitoring solutions, and mentor QE engineers to embed shift-left quality practices.

No responsibilities or requirements are provided beyond the job title in the supplied description.

Design, develop, and maintain software systems for intermodal operations; produce clean, scalable code; participate in architecture decisions; collaborate with cross-functional teams and mentor junior engineers.

Design and build scalable AI developer platforms and LLM gateways, enable agentic systems and developer SDKs, integrate AI across the SDLC, implement observability and governance, optimize cost and performance, and collaborate with platform, SRE, security, and product teams to productionize AI capabilities.

Design, implement, and maintain CIAM and access management solutions (authentication, authorization, RBAC, provisioning). Integrate CIAM with applications, enforce access policies, audit controls, troubleshoot systems, and mentor junior engineers while ensuring security best practices, compliance, and clear documentation.

The Solutions Engineer will support the integration of Near Intents, assist developers, enhance product stability, and provide technical support to ecosystem partners.

Own and build large, data-intensive frontend features for an observability platform using React and TypeScript. Design complex workflows across dashboards, traces, logs, metrics, and alerts; optimize UI performance with virtualization, caching, and selective rendering; profile slow interactions; contribute to frontend architecture, design system, and cross-functional product decisions.

Design, build, and operate end-to-end features across a React/Vite frontend, Node.js/Express/Apollo GraphQL backend, and MongoDB/Elasticsearch data layer. Work with HL7 v2/FHIR immunization pipelines and Kafka ingestion. Use AI coding tools for development and reviews. Instrument services with OpenTelemetry, Pino, and Prometheus; debug via Grafana/Tempo/Loki/Pyroscope. Ensure secure handling of PHI, participate in code review, troubleshoot consumers and deployments, and manage Kubernetes/Helm/ArgoCD/Kargo pipelines.

Design, build, test, and debug complex applications following SDLC and QMS standards. Estimate effort, resolve high-complexity issues, recommend process improvements, enforce schedules, mentor junior staff, and ensure regulatory/QMS procedure compliance.

Design and implement macOS endpoint security systems, ensuring performance and reliability while processing data securely and communicating with backends.