Track Lead - Azure DevOps, Terraform

Job Description

Track Lead - Azure DevOps, Terraform

Trivandrum, Kerala

Job Summary

Good working knowledge of Data Center, IT Infrastructure and Operations Minimum of 7 to 10 years of experience in IT Automation and AI, with a proven track record of leading successful automation initiatives within a complex infrastructure environment. Proven leadership experience managing cross-functional teams, with the ability to drive results through collaboration and motivation. Good understanding of ITIL and Devops framework. Strong experience with cloud automation tools and on-premise solutions, preferably in a data center or IT operations context. Good infrastructure knowledge in data centre operations to automate in Operating System, Compute, Storage, Backup, Network, etc @ on-prem and Cloud Technologies. Good Knowledge of Cognitive Services, Machine Learning and familiar with GenAI framework. Experience with continuous integration and continuous deployment (CI/CD) pipelines. Ability to assess and mitigate security vulnerabilities in automated workflows. Industry certifications related to cloud technologies, automation, AI (AWS and Azure). Familiarity with MLOps practices (e.g., model monitoring, CI/CD for ML pipelines). Experience integrating automation with enterprise systems Strong programming/scripting skills (e.g., Python, Java, JavaScript). Knowledge of APIs, data integration (REST, etc). Understanding of AI/automation risks, data privacy, and regulatory compliance (e.g., GDPR, HIPAA). Ability to manage multiple priorities, handle escalations, and make decisions in high-pressure situations. Strong problem-solving skills and the ability to navigate complex and ambiguous scenarios. Vendor Management Agile mindset and result oriented attitude. Good knowledge of the customer, market and competitors. Living the four Allianz People Attributes: Customer & Market Excellence, Collaborative Leadership, Entrepreneurship and Trust

Key Responsibilities

Good working knowledge of Data Center, IT Infrastructure and Operations Minimum of 7 to 10 years of experience in IT Automation and AI, with a proven track record of leading successful automation initiatives within a complex infrastructure environment. Proven leadership experience managing cross-functional teams, with the ability to drive results through collaboration and motivation. Good understanding of ITIL and Devops framework. Strong experience with cloud automation tools and on-premise solutions, preferably in a data center or IT operations context. Good infrastructure knowledge in data centre operations to automate in Operating System, Compute, Storage, Backup, Network, etc @ on-prem and Cloud Technologies. Good Knowledge of Cognitive Services, Machine Learning and familiar with GenAI framework. Experience with continuous integration and continuous deployment (CI/CD) pipelines. Ability to assess and mitigate security vulnerabilities in automated workflows. Industry certifications related to cloud technologies, automation, AI (AWS and Azure). Familiarity with MLOps practices (e.g., model monitoring, CI/CD for ML pipelines). Experience integrating automation with enterprise systems Strong programming/scripting skills (e.g., Python, Java, JavaScript). Knowledge of APIs, data integration (REST, etc). Understanding of AI/automation risks, data privacy, and regulatory compliance (e.g., GDPR, HIPAA). Ability to manage multiple priorities, handle escalations, and make decisions in high-pressure situations. Strong problem-solving skills and the ability to navigate complex and ambiguous scenarios. Vendor Management Agile mindset and result oriented attitude. Good knowledge of the customer, market and competitors. Living the four Allianz People Attributes: Customer & Market Excellence, Collaborative Leadership, Entrepreneurship and Trust

Skill Requirements

Good working knowledge of Data Center, IT Infrastructure and Operations Minimum of 7 to 10 years of experience in IT Automation and AI, with a proven track record of leading successful automation initiatives within a complex infrastructure environment. Proven leadership experience managing cross-functional teams, with the ability to drive results through collaboration and motivation. Good understanding of ITIL and Devops framework. Strong experience with cloud automation tools and on-premise solutions, preferably in a data center or IT operations context. Good infrastructure knowledge in data centre operations to automate in Operating System, Compute, Storage, Backup, Network, etc @ on-prem and Cloud Technologies. Good Knowledge of Cognitive Services, Machine Learning and familiar with GenAI framework. Experience with continuous integration and continuous deployment (CI/CD) pipelines. Ability to assess and mitigate security vulnerabilities in automated workflows. Industry certifications related to cloud technologies, automation, AI (AWS and Azure). Familiarity with MLOps practices (e.g., model monitoring, CI/CD for ML pipelines). Experience integrating automation with enterprise systems Strong programming/scripting skills (e.g., Python, Java, JavaScript). Knowledge of APIs, data integration (REST, etc). Understanding of AI/automation risks, data privacy, and regulatory compliance (e.g., GDPR, HIPAA). Ability to manage multiple priorities, handle escalations, and make decisions in high-pressure situations. Strong problem-solving skills and the ability to navigate complex and ambiguous scenarios. Vendor Management Agile mindset and result oriented attitude. Good knowledge of the customer, market and competitors. Living the four Allianz People Attributes: Customer & Market Excellence, Collaborative Leadership, Entrepreneurship and Trust

Other Requirements

Good working knowledge of Data Center, IT Infrastructure and Operations Minimum of 7 to 10 years of experience in IT Automation and AI, with a proven track record of leading successful automation initiatives within a complex infrastructure environment. Proven leadership experience managing cross-functional teams, with the ability to drive results through collaboration and motivation. Good understanding of ITIL and Devops framework. Strong experience with cloud automation tools and on-premise solutions, preferably in a data center or IT operations context. Good infrastructure knowledge in data centre operations to automate in Operating System, Compute, Storage, Backup, Network, etc @ on-prem and Cloud Technologies. Good Knowledge of Cognitive Services, Machine Learning and familiar with GenAI framework. Experience with continuous integration and continuous deployment (CI/CD) pipelines. Ability to assess and mitigate security vulnerabilities in automated workflows. Industry certifications related to cloud technologies, automation, AI (AWS and Azure). Familiarity with MLOps practices (e.g., model monitoring, CI/CD for ML pipelines). Experience integrating automation with enterprise systems Strong programming/scripting skills (e.g., Python, Java, JavaScript). Knowledge of APIs, data integration (REST, etc). Understanding of AI/automation risks, data privacy, and regulatory compliance (e.g., GDPR, HIPAA). Ability to manage multiple priorities, handle escalations, and make decisions in high-pressure situations. Strong problem-solving skills and the ability to navigate complex and ambiguous scenarios. Vendor Management Agile mindset and result oriented attitude. Good knowledge of the customer, market and competitors. Living the four Allianz People Attributes: Customer & Market Excellence, Collaborative Leadership, Entrepreneurship and Trust

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Information at a Glance

Why HCLTech?

At HCLTech, youll supercharge your potential. Youll find your career. And youll 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 230,000 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 September 2026 totaled $14.8 billion.