{"id":2929100,"url":"https://alion.io/job/hcltech-sme-kubernetes-terraform","title":"SME - Kubernetes, Terraform","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Configuration Management","optional":false},{"name":"Copilot","optional":false},{"name":"Datadog","optional":false},{"name":"Function Calling","optional":false},{"name":"GitHub","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"OpenAI","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Splunk","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-20T14:13:40Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-23T17:41:47Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Summary\nSenior Cloud & DevOps Engineer\nPlatform Engineering | Automation | Agentic AI\n Exp : 10+ years\nWe are seeking a Senior Cloud & DevOps Engineer to design, build, and operate secure, scalable cloud platforms across Azure and AWS. This role combines Cloud Engineering, DevOps, Platform Engineering, and Agentic AI to drive intelligent automation, improve operational efficiency, and accelerate software delivery.\nYou will leverage Generative AI, Agentic AI, Kubernetes, CI/CD, Infrastructure as Code, and observability platforms to create reliable, AI-powered engineering ecosystems. The role includes working with enterprise-approved AI frameworks that incorporate governance, security, and compliance controls.\nKey Responsibilities\nDesign and operate cloud-native platforms across Azure and AWS.\nBuild and optimize CI/CD pipelines using Azure DevOps and GitHub.\nImplement Infrastructure as Code using Terraform and automation using Ansible.\nManage and support Kubernetes platforms for scalable and resilient workloads.\nDevelop automation solutions using Python, Bash, and PowerShell.\nIntegrate Generative AI and Agentic AI into DevOps and operational workflows.\nImplement AI-driven incident triage, root cause analysis, and remediation.\nExtend enterprise Agentic AI frameworks with secure, governed automation.\nApply agentic patterns including tool orchestration, context management, and workflow delegation.\nEnable observability and reliability using Datadog, Splunk, and cloud-native monitoring tools.\nPartner with engineering teams to build Internal Developer Platforms (IDP) and self-service capabilities.\nChampion security, compliance, governance, reliability, and cost optimization best practices.\nSkill Requirements\nCloud & DevOps\nHands-on experience with Azure and AWS.\nStrong expertise in Azure DevOps and GitHub CI/CD pipelines.\nDeep Kubernetes administration and troubleshooting experience.\nInfrastructure as Code using Terraform.\nAutomation and configuration management using Ansible.\nScripting expertise in Python, Bash, and PowerShell.\nExperience with Datadog, Splunk, and cloud observability platforms.\nStrong understanding of DevOps, SRE, and Platform Engineering practices.\nGenerative AI & Agentic AI (Mandatory)\nExperience applying Generative AI within DevOps, automation, or operational environments.\nHands-on exposure to Azure OpenAI, Amazon Bedrock, and enterprise AI platforms.\nExperience with orchestration frameworks such as LangChain or Semantic Kernel.\nKnowledge of agentic workflows including tool calling, task planning, delegation, and context management.\nExperience integrating AI agents into cloud operations, CI/CD, and platform services.\nProficiency with GitHub Copilot and AI-enabled development environments.\nAbility to design secure, governed, and observable AI-driven automation for enterprise production environments.\nOther Requirements\nRelevant Certification on AWS","description_format":"text","description_chars":2915,"description_truncated":false,"requirements":{"experience_years_min":null,"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","IT Outsourcing & Dedicated Teams","Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-10-20T14:13:40Z"}],"visa":[],"liveness":{"score":99,"band":"hot","label":"Hiring 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