DevOps, Senior Engineer
AI in this role
Master Works is seeking a highly skilled DevOps, Senior Engineer with strong expertise in Kubernetes ecosystems and modern CI/CD practices to support enterprise applications and AI platforms. The role involves designing, building, and maintaining scalable, secure, and reliable infrastructure for a wide range of business applications.
Key Responsibilities
- Design, implement, and manage Kubernetes-based platforms for enterprise applications.
- Administer, operate and maintain platforms cluster management.
- Implement and manage CI/CD pipelines for applications and services.
- Deploy and manage applications using container orchestration best practices.
- Ensure high availability, performance, and security of on-premises systems.
- Implement and manage GitOps workflows.
- Collaborate with development teams to streamline application deployment and releases.
- Monitor systems, troubleshoot issues, and optimize resource usage.
- Implement and enforce security best practices, including access control and secrets management.
- Document system architecture and processes to ensure clear knowledge sharing and maintainability.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Strong hands-on experience with Kubernetes (K8s) in production environments.
- Experience with container orchestration and deployment automation.
- Experience handling GPU workloads in Kubernetes (NVIDIA GPU Operator, CUDA environments).
- Experience with Rancher and/or OpenShift for cluster management.
- Solid knowledge of Linux system administration and networking concepts.
- Experience with monitoring & logging tools (Grafana or similar).
- Strong understanding of security best practices for on-premises environments.
- Excellent problem-solving and troubleshooting skills and the ability to work collaboratively in cross-functional teams.
Job location: Client site
How we rate this
DevOps, Senior Engineer at Master-Works rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Get new AI jobs by email
One email a week with the new AI jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Software Engineering roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step