Full-Time Senior Cloud DevOps Engineer

MedeAnalytics is seeking a highly motivated Senior Cloud DevOps Engineer to join our Cloud Engineering team.

This lead role will drive automation initiatives, support cloud migrations, and manage cloud infrastructure in a SaaS environment.

Essential Duties and Responsibilities:

1. Infrastructure Automation: Design, implement, and maintain automated infrastructure provisioning and management using tools like Terraform and AWS CloudFormation.
2. Containerization and Orchestration: Manage and optimize Kubernetes clusters on AWS. Develop and maintain Helm charts for packaging and deploying applications.
3. CI/CD Pipelines: Build and maintain robust CI/CD pipelines using tools like Jenkins, GitLab CI/CD, ArgoCD, Atlantis or CircleCI, tailored for AI and data science workflows.
4. Cloud Infrastructure Management: Manage and optimize AWS cloud resources.
5. Monitoring and Alerting: Implement comprehensive monitoring solutions.
6. AI and Data Science MLops: Collaborate with data scientists to develop and deploy AI models.
7. Collaboration and Problem-Solving: Work closely with development, data science, and AI teams.

Key Required Qualifications:

• Bachelor’s degree in computer science, Engineering, or a related field.
• 3+ years of experience as a DevOps Engineer or a similar role, with a focus on AI and data science.
• Certification in AWS (Amazon Web Services)
• Kubernetes certification (CKA or CKAD)
• Strong proficiency in AWS cloud services and tools.
• Experience with Terraform and AWS CloudFormation.
• In-depth knowledge of Kubernetes and containerization technologies (Docker).
• Experience with Helm charts and CI/CD pipelines
• Understanding of scripting languages (e.g., Bash, Python)
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration abilities.

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