Senior DevOps Engineer

Humana • Frisco, TX

18h • Hybrid

About The Position

The Senior DevOps Engineer will be a key investment towards improving overall DevOps maturity for AI/ML implementations within Humana IT. This role is crucial for fortifying security, implementing standardized pipeline templates, reducing friction, expediting value delivery, reducing risk, and enhancing software quality. The engineer will focus on new and existing AI/ML use cases, collaborating closely with application engineers to onboard, provision, and plan infrastructure, configurations, and platforms to automate the software delivery pipeline. DevOps engineers at Humana IT leverage cloud and automation technologies to boost productivity and developer experience, advancing platform engineering. This position involves making decisions on moderately complex to complex technical issues for project components and requires considerable latitude in determining objectives and approaches to assignments.

Requirements

• Bachelor's degree in science, engineering, or an equivalent technical field
• 3+ years’ experience implementing CI/CD pipelines using tools like Azure DevOps, Github, Jenkins to automate building, testing, and deploying applications
• 2+ years’ experience building partnerships and implementing automation solutions throughout the software delivery pipeline.
• Advanced Experience using version control systems (Git, Github etc.) and branching strategies (e.g., GitFlow)
• Experience with CI/CD tools, containerization (Docker), orchestration (Kubernetes), Helm, Argo CD and pipeline-as-code
• Experience in scripting languages like Python, Shell scripting, or Ruby, and understanding programming languages such as Java, dot Net, JavaScript, or Go for automation and tool development
• Must be passionate about contributing to an organization focused on continuously improving consumer experiences

Nice To Haves

• Master's degree or equivalent experience
• Advanced Experience with Docker for creating, deploying, and managing containers, and Kubernetes for container orchestration.
• Proficiency with tools like Terraform, CloudFormation, or Ansible to automate the provisioning and management of infrastructure.

Responsibilities

• Improve overall DevOps maturity for AI/ML implementations.
• Fortify security.
• Implement standardized pipeline templates.
• Reduce friction while expediting value delivery.
• Reduce risk and enhance software quality overall.
• Focus on new and existing AI/ML use cases.
• Work closely with application engineers to onboard, provision, and plan infrastructure, configurations, and platform.
• Automate the software delivery pipeline.
• Make decisions on moderately complex to complex issues regarding technical approach for project components.
• Exercise considerable latitude in determining objectives and approaches to assignments.

Benefits

• Medical benefits
• Dental benefits
• Vision benefits
• 401(k) retirement savings plan
• Time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
• Short-term disability
• Long-term disability
• Life insurance
• Bonus incentive plan

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees