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DevOps Engineer (AI/ML)

Humana

Salary not specified
Sep 19, 2025
Remote, US
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Humana Inc. is looking to improve the scalability, reliability, and efficiency of its artificial intelligence and machine learning models and systems.

Requirements

  • Extensive experience with cloud platforms such as AWS, Azure, or GCP
  • Strong knowledge of CI/CD tools like Azure DevOps Pipelines and GitHub Actions
  • Proficiency in scripting languages such as Python, Bash, or similar
  • Experience with containerization and orchestration tools like Docker and Kubernetes
  • Familiarity with infrastructure as code tools such as Terraform, Ansible, or similar
  • Strong knowledge of DevOps practices, cloud infrastructure, and automation
  • Experience with artificial intelligence and machine learning models and systems

Responsibilities

  • Develop and enforce governance policies and standards across all deployment pipelines to ensure consistency and efficiency
  • Drive the adoption of DevOps governance, implementing controls to improve reliability and streamline software delivery
  • Establish and monitor DORA (DevOps Research and Assessment) metrics to assess performance and identify areas for improvement
  • Create, maintain, and enhance dashboards to provide visibility into key performance indicators (KPIs) and operational metrics
  • Promote a DevOps mindset, encouraging agility, speed, and efficiency in the software delivery process
  • Explore and implement strategies to deliver software faster without compromising quality or reliability
  • Lead efforts to automate and optimize CI/CD pipelines and infrastructure

Other

  • Bachelor’s degree in computer science, Engineering, or a related field
  • 10+ years of experience as a DevOps Engineer, with a focus on governance, cloud infrastructure, and automation
  • Excellent problem-solving skills and a proactive attitude
  • Strong communication and leadership abilities
  • Ability to mentor and guide a team of DevOps engineers