AI DevOps

Job Description

Must Have Technical/Functional Skill

Handles CI/CD pipelines, infrastructure provisioning and deployments, MLOps automation or model monitoring.

• 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).

• 5+ years in Dev Ops/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).
• Bachelor of Computer Science.

• Experience with ML workloads (GPU nodes, model serving, monitoring drift/quality).
• Experience with Git Ops tools and progressive delivery.
• Certifications in cloud or Kubernetes.

• Jenkins
• Terraform
• Docker
• Kubernetes
• Bash

$100,000-$120,000 Per year

• Discretionary 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 & Training Reimbursement.
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Bachelor of Computer Science