AI DevOps

Job DescriptionMust Have Technical/Functional SkillRole SummaryHandles CI/CD pipelines, infrastructure provisioning and deployments, MLOps automation or model monitoring.Key Responsibilities Build and maintain CI/CD pipelines for applications and ML components. Provision and manage infrastructure using IaC; standardize environments across dev/test/prod. Operate container platforms (Kubernetes) and deployment strategies (blue/green, canary). Implement monitoring, logging, alerting, and incident response playbooks. Support MLOps automation: model packaging, deployment, and runtime monitoring. Drive security and compliance automation (scans, secrets management, policy-as-code).Required Qualifications 5+ years in DevOps/SRE roles supporting cloud-native applications. Hands-on experience with Jenkins (or similar), Terraform, Docker, and Kubernetes. Strong scripting skills (Bash/Python) and comfort troubleshooting production issues. Knowledge of networking, IAM, and security hardening practices. Experience setting up observability stacks and reliability metrics (SLOs).Preferred / Nice To Have Experience with ML workloads (GPU nodes, model serving, monitoring drift/quality). Experience with GitOps tools and progressive delivery. Certifications in cloud or Kubernetes.Core Skills (from POD sheet)Jenkins, Terraform, Docker, Kubernetes, BashSalary Range $100,000-$120,000 Per yearTCS Employee Benefits SummaryDiscretionary Annual Incentive.Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.Family Support: Maternal & Parental Leaves.Insurance Options: Auto & Home Insurance, Identity Theft Protection.Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.Time Off: Vacation, Time Off, Sick Leave & Holidays.Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.Qualifications: BACHELOR OF COMPUTER SCIENCE