Senior HPC DevOps Engineer-TS/SCI w/ MD Poly|HPC Clusters

Capstone Technology Partners

College Park (MD)

On-site

USD 222,000 - 257,000

Full time

14 days+

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Benefits offered by this job

Four weeks paid time off

Eleven paid holidays

401k with employer contributions and 3

Annual performance bonuses

Medical, Dental, and Vision

Job summary

Capstone Technology Partners seeks a Senior HPC DevOps Engineer to own the automation lifecycle for an HPC/AI compute cluster (Linux). You will codify operations with Ansible, enforce desired state, and accelerate onboarding while collaborating with our Maryland client in a fast-paced environment.

The role requires TS/SCI with MD polygraph, 12+ years' experience or advanced degrees, strong Linux hardening, and hands-on container tooling.

Qualifications

12+ years of experience and a BS in computer science, IT, or related technical field, MS and 10 years of experience, or a Ph.D. with 8 years of experience.
4 years of additional experience is required in lieu of a Bachelors’ degree for total of 16 years.
7+ years in Linux systems / SRE / DevOps, including production cluster operations in HPC or large-scale compute environment.
3+ years of experience building and operating Ansible automation at scale.
Strong Linux hardening & compliance fundamentals.
Demonstrated experience operating or automating clustered compute environments.
Hands-on experience with container tooling in Linux environments.
Familiarity with incident response and runbook-driven operations; automate remediation.
Strong Git workflow and documentation practices.
Active TS/SCI w/ Polygraph clearance required.

Responsibilities

Enforce desired state across cluster services via code-driven configuration; implement drift detection and alert on deviations.
Compute node onboarding: automate OS deployment, security baselines, scheduler enrollment, and hardware readiness checks.
Patch & vulnerability automation to meet SLAs; maintain container image definitions and integrate image scanning.
Logging and observability: emit auditable logs and integrate with metrics/alerts for reliable incident response.
Incident and problem management: automate responses to common incidents using runbooks.
Docs-as-code: maintain runbooks and operator guidance in the documentation platform.