AI Support Operations Engineer
CyberCoders
About the role
AI Support Operations Engineer
Title: AI Support Operations Engineer
Location: Fully REMOTE!
Salary: $150-200k/year + BONUS + RSUs
About
We're not following someone else's cloud blueprint - we're creating the next one. While legacy providers hand you a finished process, we're engineering the next generation of AI-optimized data center infrastructure from the ground up.
As our first internal Staff AI Support Operations Engineer, you'll be a foundational technical leader on a brand‑new Ops team. This is a role for an architect‑practitioner: the kind of engineer who can untangle a complex InfiniBand issue one hour and automate away the root cause the next. You won't just maintain systems - you'll build the operational standards and technical foundations that every future engineer will rely on.
Legacy is predictable. Safe. Slow. We're none of those things. We're building the Neo‑Cloud at AI speed, and the rules aren't handed to you - you define them. If you're ready to trade routine for impact and build systems that actually move the company forward, let's talk.
Key Responsibilities
- Cluster Engineering & Operations: Collaborate with engineering teams to architect, deploy, and bring new AI compute clusters online while delivering expert‑level support for existing high‑density GPU environments
- Infrastructure Source of Truth: Own NetBox and related internal systems, ensuring all infrastructure data is accurate, consistent, and reliably maintained
- Automation & Tooling: Build and refine internal automation using Python, Ansible, and Terraform to eliminate manual workflows and modernize fragile legacy processes
- Tier 3 Escalation Lead: Serve as the highest technical escalation point for customer and internal issues prior to involvement from Platform or Network/Undercloud teams
- Documentation Excellence: Transform tribal knowledge into clear, durable SOPs and technical documentation that establish the operational "gold standard"
- Technical Leadership & Mentorship: Raise the technical bar for the team through code reviews, architectural guidance, and mentorship as the organization scales
Qualifications
- Enterprise‑Grade Server Proficiency: Advanced operational knowledge of HPE, Dell, and SuperMicro platforms, including IPMI, BMC, iDRAC workflows, and familiarity with Redfish‑based management.
- Core Engineering Toolkit: Mastery of Python, Ansible, and Terraform as primary tools for automation, orchestration, and infrastructure lifecycle management.
- Linux Performance Engineering: Strong capability in diagnosing and tuning Linux systems, resolving performance bottlenecks, and optimizing workloads at the OS level.
- Advanced Incident Resolution: Demonstrated experience serving as the final technical escalation point for complex, high‑impact infrastructure failures.
- Cloud‑Native Operations: Proven production experience operating and troubleshooting Kubernetes environments.
Nice to Have
- Next‑Generation GPU Hardware: Familiarity with NVIDIA Blackwell (B200/B300) or Hopper (H100/H200) architectures.
- High‑Performance Fabrics: Experience with InfiniBand or RoCE networking, and modern high‑throughput storage platforms such as Weka or VAST Data.
- Bare‑Metal Provisioning: Exposure to OpenStack or Canonical MAAS for automated provisioning of physical infrastructure.
Legal & EEO Information
- For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non‑immigrant visa.
- This job was first posted by CyberCoders on 04/03/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.
- CyberCoders is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law.
- Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results.
- CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act.
- CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at Benefits@CyberCoders.com to make arrangements.
Requirements
- Advanced operational knowledge of HPE, Dell, and SuperMicro platforms, including IPMI, BMC, iDRAC workflows, and familiarity with Redfish-based management.
- Mastery of Python, Ansible, and Terraform as primary tools for automation, orchestration, and infrastructure lifecycle management.
- Strong capability in diagnosing and tuning Linux systems, resolving performance bottlenecks, and optimizing workloads at the OS level.
- Demonstrated experience serving as the final technical escalation point for complex, high-impact infrastructure failures.
- Proven production experience operating and troubleshooting Kubernetes environments.
Responsibilities
- Collaborate with engineering teams to architect, deploy, and bring new AI compute clusters online while delivering expert-level support for existing high-density GPU environments
- Own NetBox and related internal systems, ensuring all infrastructure data is accurate, consistent, and reliably maintained
- Build and refine internal automation using Python, Ansible, and Terraform to eliminate manual workflows and modernize fragile legacy processes
- Serve as the highest technical escalation point for customer and internal issues prior to involvement from Platform or Network/Undercloud teams
- Transform tribal knowledge into clear, durable SOPs and technical documentation that establish the operational "gold standard"
- Raise the technical bar for the team through code reviews, architectural guidance, and mentorship as the organization scales
Skills
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