Humana is looking to solve the problem of streamlining the deployment process, ensuring the scalability and reliability of AI/ML models, and monitoring their performance.
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.
LLM model DevOps experience
API and AI gateway management experience
Responsibilities
Develop and enforce governance policies and standards across all deployment pipelines to ensure consistency and efficiency.
Drive the DevOps governance adoption, implementing controls to streamline the software delivery process and improve reliability.
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.
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.
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.
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
