Top Tech Jobs & Startup Jobs in Chennai

Leads architecture and technical governance for scalable, highly available cloud-native backend services. Responsibilities include designing distributed systems, standardizing cloud usage, conducting architecture reviews, managing cloud costs, advancing serverless and Kubernetes platforms, mentoring engineers, and communicating technical risks to business stakeholders. The role requires extensive software architecture experience, expertise in cloud infrastructure, orchestration, event-driven systems, infrastructure as code, backend development, and enterprise-scale implementations.

Own the verification and validation lifecycle for grade control platform products. Lead risk assessment, test strategy, acceptance criteria, test planning, and execution across component, HIL, API, simulation, laboratory, and physical machine testing. Develop automated API verification frameworks using Playwright and Postman, apply dSPACE, Vector, Simulink, and Stateflow, validate performance metrics, improve V&V processes, document results, and mentor validation engineers.

Supports enterprise Azure reliability and security operations across Windows virtual machines and SQL Servers. Responsibilities include patch orchestration, vulnerability scanning and CVE remediation, Azure governance, RBAC, WAF and Zero Trust controls, automation with PowerShell, Python or Terraform, incident triage, and root-cause analysis. Collaborates with global engineering teams while developing expertise in cloud security, observability, DevOps pipelines, and AI-assisted operational automation.

Develop and test machine learning models, preprocess data, engineer features, perform debugging and unit testing, and support model integration and MLOps workflows. The role involves containerization, deployment pipelines, monitoring, documentation, and collaboration with senior engineers and data scientists to build enterprise AI solutions.

Leads AI-driven SecOps strategy and cloud security architecture across a large Azure environment. Governs Windows and SQL Server security, patch orchestration, vulnerability remediation, Zero Trust, Azure policies, WAF controls, disaster recovery, and audit compliance. Establishes automation standards using PowerShell, Python, Terraform, and AI tools while mentoring global engineering teams and presenting security posture and risk metrics to executive stakeholders.

Leads a full-stack engineering team developing secure, scalable web and cloud-native platforms. Responsibilities include defining specifications and architecture, mentoring 2–5 engineers, managing agile delivery, estimating work, resolving technical issues, contributing code, conducting reviews, and collaborating with architecture and cross-functional teams. The role requires hands-on expertise with C#/.NET, React, SQL, Azure or AWS, APIs, CI/CD, testing, and secure application development.

Leads a full-stack engineering team of 2–5 developers while remaining hands-on with architecture, coding, code reviews, and complex technical issues. Owns functional specifications, user stories, high-level designs, agile planning, estimation, delivery management, and status reporting. Partners with architecture and cross-functional teams to deliver secure, reliable cloud-native web applications using .NET, React, SQL, Azure, APIs, and CI/CD practices.

Develop and fine-tune machine learning models, prepare and analyze datasets, engineer features, test and document ML code, and integrate models into enterprise applications. The role supports MLOps practices such as containerization, artifact tracking, and performance monitoring while collaborating with senior engineers and domain specialists. It is an entry-level position with mentorship and exposure to the full AI project lifecycle.

Leads enterprise AI/ML infrastructure strategy and architecture, building scalable MLOps platforms for thousands of production models and millions of predictions. Responsibilities include distributed inference, foundation model serving, generative AI pipelines, observability, drift detection, self-healing systems, Zero Trust security, governance, experimentation, and multi-cloud transformation. The role provides executive influence, technical mentorship, industry thought leadership, and oversight of advanced cloud-native infrastructure across global engineering teams.

Design, develop, and deploy production-grade Generative AI capabilities for enterprise ERP systems. Build LLM workflows with Azure OpenAI, LangChain, vector databases, prompt engineering, and retrieval augmentation. Evaluate and tune models for quality, latency, and cost, while partnering with product, UX, and engineering teams to deliver AI-driven features. Explore emerging AI, agentic, and foundation-model technologies for construction workflows.