Track Lead - Microsoft Azure - IaaS, Azure Kubernetes Service
India
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Job Description
Track Lead - Microsoft Azure - IaaS, Azure Kubernetes Service
Trivandrum, Kerala

Job Summary

 Basic working knowledge of Data Center, IT Infrastructure and Operations concepts.  Minimum 2 years of experience (including internships/projects) in IT Automation, scripting, or infrastructure support, with an interest in Automation and AI.  Willingness to work as part of a cross-functional team, taking direction well and collaborating effectively with peers.  Basic understanding of ITIL and DevOps concepts; willing to build this further on the job.  Foundational exposure to cloud automation tools and on-premise infrastructure solutions, gained through coursework, certifications, internships, or personal projects.  Basic infrastructure knowledge across Operating System, Compute, Storage, Backup, and Network components, on-prem and on Cloud, with an eagerness to develop automation for these areas.  Awareness of Cognitive Services, Machine Learning concepts, and GenAI frameworks; keen to build hands-on exposure.  Basic exposure to continuous integration and continuous deployment (CI/CD) pipelines through academic or self-learning projects.  Basic awareness of security considerations in automated workflows, with willingness to learn assessment and mitigation practices.  Industry certifications related to cloud technologies, automation, or AI (e.g., AWS or Azure fundamentals) are an added advantage.  Familiarity with MLOps concepts (e.g., model monitoring, CI/CD for ML pipelines) is a plus.  Working knowledge of, or willingness to learn, infrastructure-as-code and configuration management tools such as Ansible and Terraform.  Basic exposure to DevOps toolchains (e.g., Git, Jenkins, Azure DevOps) for build, release, and deployment automation.  Awareness of observability and monitoring tools such as Dynatrace for infrastructure and application health monitoring.  Interest in learning how to build or integrate with Model Context Protocol (MCP) servers to connect automation/AI workflows with enterprise tools.  Basic knowledge of ServiceNow (SNOW) modules (Incident, Change, Request) and interest in automation/API integration with ITSM platforms is a plus.  Exposure to integrating automation scripts with enterprise systems, gained through coursework or projects  Good programming/scripting skills (e.g., Python, Java, JavaScript).  Basic knowledge of APIs and data integration concepts (REST, etc).  Basic awareness of AI/automation risks, data privacy, and regulatory compliance concepts (e.g., GDPR, HIPAA).  Ability to manage assigned tasks and priorities, and to raise escalations promptly to seniors when needed.  Good problem-solving skills and willingness to learn how to navigate complex and ambiguous scenarios.  Basic understanding of vendor coordination (support role, not lead)  Agile mindset and eagerness to learn and deliver results.  Developing knowledge of the customer, market, and competitors.  Living the four Allianz People Attributes: Customer & Market Excellence, Collaborative Leadership, Entrepreneurship and Trust

Key Responsibilities

  Basic working knowledge of Data Center, IT Infrastructure and Operations concepts.  Minimum 2 years of experience (including internships/projects) in IT Automation, scripting, or infrastructure support, with an interest in Automation and AI.  Willingness to work as part of a cross-functional team, taking direction well and collaborating effectively with peers.  Basic understanding of ITIL and DevOps concepts; willing to build this further on the job.  Foundational exposure to cloud automation tools and on-premise infrastructure solutions, gained through coursework, certifications, internships, or personal projects.  Basic infrastructure knowledge across Operating System, Compute, Storage, Backup, and Network components, on-prem and on Cloud, with an eagerness to develop automation for these areas.  Awareness of Cognitive Services, Machine Learning concepts, and GenAI frameworks; keen to build hands-on exposure.  Basic exposure to continuous integration and continuous deployment (CI/CD) pipelines through academic or self-learning projects.  Basic awareness of security considerations in automated workflows, with willingness to learn assessment and mitigation practices.  Industry certifications related to cloud technologies, automation, or AI (e.g., AWS or Azure fundamentals) are an added advantage.  Familiarity with MLOps concepts (e.g., model monitoring, CI/CD for ML pipelines) is a plus.  Working knowledge of, or willingness to learn, infrastructure-as-code and configuration management tools such as Ansible and Terraform.  Basic exposure to DevOps toolchains (e.g., Git, Jenkins, Azure DevOps) for build, release, and deployment automation.  Awareness of observability and monitoring tools such as Dynatrace for infrastructure and application health monitoring.  Interest in learning how to build or integrate with Model Context Protocol (MCP) servers to connect automation/AI workflows with enterprise tools.  Basic knowledge of ServiceNow (SNOW) modules (Incident, Change, Request) and interest in automation/API integration with ITSM platforms is a plus.  Exposure to integrating automation scripts with enterprise systems, gained through coursework or projects  Good programming/scripting skills (e.g., Python, Java, JavaScript).  Basic knowledge of APIs and data integration concepts (REST, etc).  Basic awareness of AI/automation risks, data privacy, and regulatory compliance concepts (e.g., GDPR, HIPAA).  Ability to manage assigned tasks and priorities, and to raise escalations promptly to seniors when needed.  Good problem-solving skills and willingness to learn how to navigate complex and ambiguous scenarios.  Basic understanding of vendor coordination (support role, not lead)  Agile mindset and eagerness to learn and deliver results.  Developing knowledge of the customer, market, and competitors.  Living the four Allianz People Attributes: Customer & Market Excellence, Collaborative Leadership, Entrepreneurship and Trust

Skill Requirements

 Basic working knowledge of Data Center, IT Infrastructure and Operations concepts.  Minimum 2 years of experience (including internships/projects) in IT Automation, scripting, or infrastructure support, with an interest in Automation and AI.  Willingness to work as part of a cross-functional team, taking direction well and collaborating effectively with peers.  Basic understanding of ITIL and DevOps concepts; willing to build this further on the job.  Foundational exposure to cloud automation tools and on-premise infrastructure solutions, gained through coursework, certifications, internships, or personal projects.  Basic infrastructure knowledge across Operating System, Compute, Storage, Backup, and Network components, on-prem and on Cloud, with an eagerness to develop automation for these areas.  Awareness of Cognitive Services, Machine Learning concepts, and GenAI frameworks; keen to build hands-on exposure.  Basic exposure to continuous integration and continuous deployment (CI/CD) pipelines through academic or self-learning projects.  Basic awareness of security considerations in automated workflows, with willingness to learn assessment and mitigation practices.  Industry certifications related to cloud technologies, automation, or AI (e.g., AWS or Azure fundamentals) are an added advantage.  Familiarity with MLOps concepts (e.g., model monitoring, CI/CD for ML pipelines) is a plus.  Working knowledge of, or willingness to learn, infrastructure-as-code and configuration management tools such as Ansible and Terraform.  Basic exposure to DevOps toolchains (e.g., Git, Jenkins, Azure DevOps) for build, release, and deployment automation.  Awareness of observability and monitoring tools such as Dynatrace for infrastructure and application health monitoring.  Interest in learning how to build or integrate with Model Context Protocol (MCP) servers to connect automation/AI workflows with enterprise tools.  Basic knowledge of ServiceNow (SNOW) modules (Incident, Change, Request) and interest in automation/API integration with ITSM platforms is a plus.  Exposure to integrating automation scripts with enterprise systems, gained through coursework or projects  Good programming/scripting skills (e.g., Python, Java, JavaScript).  Basic knowledge of APIs and data integration concepts (REST, etc).  Basic awareness of AI/automation risks, data privacy, and regulatory compliance concepts (e.g., GDPR, HIPAA).  Ability to manage assigned tasks and priorities, and to raise escalations promptly to seniors when needed.  Good problem-solving skills and willingness to learn how to navigate complex and ambiguous scenarios.  Basic understanding of vendor coordination (support role, not lead)  Agile mindset and eagerness to learn and deliver results.  Developing knowledge of the customer, market, and competitors.  Living the four Allianz People Attributes: Customer & Market Excellence, Collaborative Leadership, Entrepreneurship and Trust

Other Requirements

 Basic working knowledge of Data Center, IT Infrastructure and Operations concepts.  Minimum 2 years of experience (including internships/projects) in IT Automation, scripting, or infrastructure support, with an interest in Automation and AI.  Willingness to work as part of a cross-functional team, taking direction well and collaborating effectively with peers.  Basic understanding of ITIL and DevOps concepts; willing to build this further on the job.  Foundational exposure to cloud automation tools and on-premise infrastructure solutions, gained through coursework, certifications, internships, or personal projects.  Basic infrastructure knowledge across Operating System, Compute, Storage, Backup, and Network components, on-prem and on Cloud, with an eagerness to develop automation for these areas.  Awareness of Cognitive Services, Machine Learning concepts, and GenAI frameworks; keen to build hands-on exposure.  Basic exposure to continuous integration and continuous deployment (CI/CD) pipelines through academic or self-learning projects.  Basic awareness of security considerations in automated workflows, with willingness to learn assessment and mitigation practices.  Industry certifications related to cloud technologies, automation, or AI (e.g., AWS or Azure fundamentals) are an added advantage.  Familiarity with MLOps concepts (e.g., model monitoring, CI/CD for ML pipelines) is a plus.  Working knowledge of, or willingness to learn, infrastructure-as-code and configuration management tools such as Ansible and Terraform.  Basic exposure to DevOps toolchains (e.g., Git, Jenkins, Azure DevOps) for build, release, and deployment automation.  Awareness of observability and monitoring tools such as Dynatrace for infrastructure and application health monitoring.  Interest in learning how to build or integrate with Model Context Protocol (MCP) servers to connect automation/AI workflows with enterprise tools.  Basic knowledge of ServiceNow (SNOW) modules (Incident, Change, Request) and interest in automation/API integration with ITSM platforms is a plus.  Exposure to integrating automation scripts with enterprise systems, gained through coursework or projects  Good programming/scripting skills (e.g., Python, Java, JavaScript).  Basic knowledge of APIs and data integration concepts (REST, etc).  Basic awareness of AI/automation risks, data privacy, and regulatory compliance concepts (e.g., GDPR, HIPAA).  Ability to manage assigned tasks and priorities, and to raise escalations promptly to seniors when needed.  Good problem-solving skills and willingness to learn how to navigate complex and ambiguous scenarios.  Basic understanding of vendor coordination (support role, not lead)  Agile mindset and eagerness to learn and deliver results.  Developing 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, 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 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.