Lead AI/ML DevOps Engineer

Position Overview

• Location Type: Hybrid Home/Office
• Job Type: Full time
• Salary: Not specified

As a Lead AI/ML DevOps Engineer at Humana, you will be responsible for leading the development, deployment, and monitoring of AI/ML models and systems. You will work closely with data scientists, software engineers, and other stakeholders to ensure the successful implementation of AI/ML solutions. Additionally, you will focus on streamlining the deployment process, ensuring the scalability and reliability of AI/ML models, and monitoring their performance.

Requirements

• Education: Bachelor’s degree in computer science, Engineering, or a related field.
• Experience: 10+ years of experience as a DevOps Engineer, with a focus on governance, cloud infrastructure, and automation.
• Cloud Platforms: Extensive experience with cloud platforms such as AWS, Azure, or GCP.
• CI/CD Tools: Strong knowledge of CI/CD tools like Azure DevOps Pipelines and GitHub Actions.
• Scripting Languages: Proficiency in scripting languages such as Python, Bash, or similar.
• Containerization & Orchestration: Experience with containerization and orchestration tools like Docker and Kubernetes.
• Infrastructure as Code: Familiarity with infrastructure as code tools such as Terraform, Ansible, or similar.
• Skills: Excellent problem-solving skills and a proactive attitude. Strong communication and leadership abilities.

Responsibilities

• Governance & Standards: Develop and enforce governance policies and standards across all deployment pipelines to ensure consistency and efficiency.
• DevOps Governance Adoption: Drive the DevOps governance adoption, implementing controls to streamline the software delivery process and improve reliability.
• DORA Metrics: Establish and monitor DORA (DevOps Research and Assessment) metrics to assess performance and identify areas for improvement.
• Dashboard Creation & Maintenance: Create, maintain, and enhance dashboards to provide visibility into key performance indicators (KPIs) and operational metrics.
• DevOps Mindset: Champion a DevOps mindset, promoting agility, speed, and efficiency in the software delivery process.
• Automation & Optimization: Explore and implement ways to deliver software faster, without compromising on quality or reliability.
• Collaboration: Collaborate with development, operations, and security teams to ensure alignment with governance policies and best practices.
• CI/CD Pipeline Leadership: Lead efforts to automate and optimize CI/CD pipelines and infrastructure.
• Mentorship & Guidance: Mentor and guide a team of DevOps engineers, fostering a culture of continuous improvement and collaboration.
• DevOps Pillars: Focus on key DevOps pillars, including continuous integration (CI), continuous delivery (CD), quality, security, compliance, metrics, and reporting.
• Compliance: Ensure compliance with security and regulatory requirements throughout the software delivery lifecycle.
• Performance Improvement: Use metrics and KPIs to drive performance improvements and transparency within the DevOps function.

Application Instructions

• Not specified in the provided text.

Company Information

• Company: Humana
• Focus: Putting health first.