Lead devops engineer
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Become a part of our caring community and help us put health first 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. Key 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.
- 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.
- 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.
- 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.
- Excellent problem-solving skills and a proactive attitude.
- Strong communication and leadership abilities.
- Master's Degree
- LLM model DevOps experience
- API and AI gateway management experience
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