Senior Technical Lead
India
Apply now
Job Description
Senior Technical Lead
Bengaluru, Karnataka

Job Summary

Role 1 

  • 10+ years of experience in software/ cloud engineering, AI, data engineering, or application development. 3+ years serving as a lead developer on enterprise projects developing and delivering cloud-native applications and services.  

  • Experience delivering enterprise AI, or GenAI solutions into production environments.  

  • Hands-on expertise to develop and deploy applications on Azure, including services such as App Service, Azure Functions, Container Apps, Azure AI Foundry, AKS, Storage, Key Vault, API Management, or similar components  

  • Hands-on experience delivering GenAI solutions into production environments including prompt and RAG (retrieval-augmented generation) patterns, responsible AI controls & guardrails, AI orchestration, AI/ML model lifecycle management, and secure integration of AI capabilities into analytics and enterprise applications.  

  • Strong Python development skills.  

  • Experience building REST APIs, microservices and implementing cloud-native applications.  

  • Strong understanding of software architecture principles and design patterns.  

  • Experience building containerized applications using Docker and Kubernetes technologies.  

  • BS or Master's degree in Computer Science, Software Engineering, Data Science, or a related technical discipline.  

 

 

Key Responsibilities

Role 1 

  • 10+ years of experience in software/ cloud engineering, AI, data engineering, or application development. 3+ years serving as a lead developer on enterprise projects developing and delivering cloud-native applications and services.  

  • Experience delivering enterprise AI, or GenAI solutions into production environments.  

  • Hands-on expertise to develop and deploy applications on Azure, including services such as App Service, Azure Functions, Container Apps, Azure AI Foundry, AKS, Storage, Key Vault, API Management, or similar components  

  • Hands-on experience delivering GenAI solutions into production environments including prompt and RAG (retrieval-augmented generation) patterns, responsible AI controls & guardrails, AI orchestration, AI/ML model lifecycle management, and secure integration of AI capabilities into analytics and enterprise applications.  

  • Strong Python development skills.  

  • Experience building REST APIs, microservices and implementing cloud-native applications.  

  • Strong understanding of software architecture principles and design patterns.  

  • Experience building containerized applications using Docker and Kubernetes technologies.  

  • BS or Master's degree in Computer Science, Software Engineering, Data Science, or a related technical discipline.  

 

 

Skill Requirements

Role 1 

  • 10+ years of experience in software/ cloud engineering, AI, data engineering, or application development. 3+ years serving as a lead developer on enterprise projects developing and delivering cloud-native applications and services.  

  • Experience delivering enterprise AI, or GenAI solutions into production environments.  

  • Hands-on expertise to develop and deploy applications on Azure, including services such as App Service, Azure Functions, Container Apps, Azure AI Foundry, AKS, Storage, Key Vault, API Management, or similar components  

  • Hands-on experience delivering GenAI solutions into production environments including prompt and RAG (retrieval-augmented generation) patterns, responsible AI controls & guardrails, AI orchestration, AI/ML model lifecycle management, and secure integration of AI capabilities into analytics and enterprise applications.  

  • Strong Python development skills.  

  • Experience building REST APIs, microservices and implementing cloud-native applications.  

  • Strong understanding of software architecture principles and design patterns.  

  • Experience building containerized applications using Docker and Kubernetes technologies.  

  • BS or Master's degree in Computer Science, Software Engineering, Data Science, or a related technical discipline.  

 

 

Other Requirements

Role 1 

  • 10+ years of experience in software/ cloud engineering, AI, data engineering, or application development. 3+ years serving as a lead developer on enterprise projects developing and delivering cloud-native applications and services.  

  • Experience delivering enterprise AI, or GenAI solutions into production environments.  

  • Hands-on expertise to develop and deploy applications on Azure, including services such as App Service, Azure Functions, Container Apps, Azure AI Foundry, AKS, Storage, Key Vault, API Management, or similar components  

  • Hands-on experience delivering GenAI solutions into production environments including prompt and RAG (retrieval-augmented generation) patterns, responsible AI controls & guardrails, AI orchestration, AI/ML model lifecycle management, and secure integration of AI capabilities into analytics and enterprise applications.  

  • Strong Python development skills.  

  • Experience building REST APIs, microservices and implementing cloud-native applications.  

  • Strong understanding of software architecture principles and design patterns.  

  • Experience building containerized applications using Docker and Kubernetes technologies.  

  • BS or Master's degree in Computer Science, Software Engineering, Data Science, or a related technical discipline.  

 

 
Apply now
Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.