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As a Senior AI/ML DevOps Engineer at Humana, you promote flexible collaboration and communication between development, security, compliance, testing, monitoring and production teams. Optimizes the release process by leading teams to identify gaps and eliminate barriers to enable increased frequency of accurate code deployment. Begins to influence department’s strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments.

Key Responsibilities

• Develop and implement DevOps governance policies and standards, ensuring alignment with business objectives and industry best practices.
• Drive the adoption of DevOps practices and principles, fostering a culture of collaboration, agility, and continuous improvement.
• Create, maintain, and enhance dashboards to provide visibility into key performance indicators (KPIs) and operational metrics.
• Champion a DevOps mindset, promoting agility, speed, and efficiency in the software delivery process.
• Explore and implement ways to deliver software faster, without compromising on quality or reliability.
• Collaborate with development, operations, and security teams to ensure alignment with governance policies and best practices.
• Lead efforts to automate and optimize CI/CD pipelines and infrastructure.
• Mentor and guide a team of DevOps engineers, fostering a culture of continuous improvement and collaboration.
• Focus on key DevOps pillars, including continuous integration (CI), continuous delivery (CD), quality, security, compliance, metrics, and reporting.
• Ensure compliance with security and regulatory requirements throughout the software delivery lifecycle.
• Use metrics and KPIs to drive performance improvements and transparency within the DevOps function.

Use your skills to make an impact
 

Required Qualifications

• Bachelor’s degree in computer science, Engineering, or a related field.
• 5 or more years of experience designing, developing, and testing of software applications and/or infrastructure.
• 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 such as code tools such as Terraform, Ansible, or similar.

Preferred Qualifications

• Master's Degree
• LLM model Devops experience.
• API and AI gateway management experience.
• Excellent problem-solving skills and a proactive attitude.
• Strong communication and leadership abilities.
• Passionate about contributing to an organization focused on continuously improving consumer experiences.

Additional Information

To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:

At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested.
Satellite, cellular and microwave connection can be used only if approved by leadership.
Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.
Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.
Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

 

$106,900 - $147,000 per year

 

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

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