{"id":3968638,"url":"https://alion.io/job/hcltech-track-lead-azure-devops-terraform-13","title":"Track Lead - Azure DevOps, Terraform","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Thiruvananthapuram, 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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\nKey Responsibilities\n 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\nSkill Requirements\n 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\nOther Requirements\n 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","description_format":"text","description_chars":7702,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Managed IT Services 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