Track Lead - Azure DevOps, Terraform

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