Accountabilities:

Lead the deployment of the first colocation site, taking it from an empty facility space to production-ready infrastructure, and scale the architecture across additional sites and thousands of hosts.

Design automated server provisioning workflows, including network booting, imaging, BMC-driven hardware discovery, and host identity management.

Collaborate with network engineering to define and implement connectivity requirements for the fleet, covering out-of-band management and production networking.

Develop the interfaces and tools used by the Kubernetes platform team to request infrastructure capacity, monitor host health, and coordinate maintenance activities.

Maintain an authoritative source of truth for hardware inventory, software configuration, and physical infrastructure.

Automate the full server lifecycle, including hardware burn-in, acceptance testing, fault remediation, staged firmware deployments, and return merchandise authorization (RMA) processes.

Build reliable, production-grade automation with safeguards for destructive operations and resilience against site-level failures.

Influence the technical and operational strategy of the bare metal platform, including build-versus-buy decisions and approaches to managing large-scale infrastructure.

Contribute to growing the infrastructure team and establishing the practices needed to operate an expanding fleet.

Requirements

Hands-on experience building and operating automation for bare metal server fleets in data centers or colocation environments.

Practical experience with both physical infrastructure and software-driven fleet management, including working directly with hardware and colocation providers.

Strong programming skills in Go or Python.

Experience designing reliable systems using reconciliation loops, idempotent operations, and failure-tolerant automation.

Strong troubleshooting skills and the ability to understand and debug infrastructure tools beyond their abstraction layers.

Experience managing real-world infrastructure failures, such as faulty hardware batches, unstable baseboard management controllers (BMCs), or interrupted rollouts.

Deep knowledge of Linux and solid networking fundamentals, including DHCP, PXE, DNS, and BGP.

Working knowledge of Kubernetes and the ability to design effective integration points between physical infrastructure and the clusters running on it.

Clear communication skills, sound technical judgment, and comfort working in ambiguous environments.

Willingness to challenge assumptions and raise concerns when technical plans or proposed approaches need reconsideration.

Nice-to-have qualifications

Experience operating bare metal fleets at the scale of thousands of hosts.

Previous involvement in an early-stage data center or bare metal infrastructure build-out.

Experience managing hybrid infrastructure or migrating workloads between public cloud environments and owned hardware.

Familiarity with DCIM/IPAM tools such as NetBox or Nautobot, or provisioning technologies such as Ironic, Metal3, Tinkerbell, or MAAS.

Experience developing reconcilers or state machines for physical infrastructure.

Hardware expertise covering component diagnostics, burn-in tooling, firmware management, Redfish, or IPMI at fleet scale.

Experience building internal platforms or APIs for infrastructure teams.

Location near colocation facilities or the ability to visit them regularly.

Candidates are encouraged to apply even if they do not meet every listed qualification, as relevant experience and transferable skills are also valued.

Benefits

Annual compensation range of $230,000–$290,000, depending on experience, transferable skills, location, business needs, and market conditions.

Equity participation.

Four weeks of paid vacation.

Fourteen weeks of fully paid parental leave for parents welcoming a child through birth, adoption, or foster care, with support for returning to work.

Long-term disability insurance and life insurance.

401(k) retirement plan.

Employer-paid medical coverage for employees and one dependent.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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