Databricks

Staff Systems Development Engineer (GovOps)

Databricks$153K — $210K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Active TS/SCI security clearance.
  • Bachelor's degree in Computer Science, Systems Engineering, Mathematics, or equivalent experience.
  • 7+ years in Systems Engineering, Cloud Infrastructure, Senior Support Engineering, DevSecOps, or a related role.
  • Deep expertise in Linux/Unix internals, networking, and distributed systems.
  • Proficiency in Python, Bash, Go, or Java for debugging and diagnostic scripts.
  • Experience managing cloud infrastructure across federal boundaries (AWS GovCloud, Azure Government, or GCP).
  • Working knowledge of Infrastructure-as-Code tools like Terraform and container orchestration (Docker/Kubernetes).
  • 3+ years of clear technical communication experience.

Responsibilities

  • Architect high-side platform reliability across multiple domains.
  • Bridge communication between core engineering teams and secure facilities.
  • Drive fleet-wide supportability and build custom diagnostic tools.
  • Collaborate with Product and Core Engineering to rectify platform defects.
  • Lead incident response for high-consequence platform issues.
  • Ensure compliance with FedRAMP High and other federal guidelines.

Benefits

  • Comprehensive benefits package tailored to employee needs.
Full Job Description
P-298

The Role

As enterprise data enclaves and Generative AI applications become mission-critical to national security and public sector modernization, maintaining the architectural resilience and operational integrity of the underlying platform is paramount. Databricks is seeking a Staff Systems Development Engineer (GovOps) to join our Cleared Engineering team in McLean, VA. Sitting at the vital intersection of core infrastructure operations and active platform reliability, this team serves as the ultimate technical authority for our platform across GovCloud, FedRAMP High, and air-gapped environments.

In this staff-level capacity, you will operate as a technical force multiplier, moving beyond complex escalation resolution to architect long-term system stability, drive fleet-wide supportability features, and eliminate systemic operational bottlenecks across multiple platform domains, including Compute, Networking, Storage, IAM, and OS internals. Serving as a primary technical pillar, you will bridge the gap between uncleared core engineering teams and cleared high-side environments, providing high-side technical leadership, virtual and physical escorts, and precise cross-boundary communication. If you are a seasoned systems authority who thrives under pressure, excels at designing tooling for constrained environments, and wants to shape the secure infrastructure powering next-generation federal AI workloads, this role offers unmatched scope and strategic impact.

The Impact You'll Have
  • Architect High-Side Platform Reliability: Serve as the subject matter expert across multiple platform domains (Compute, Networking, Storage, OS), designing end-to-end operational workarounds and resolving the most complex escalations within air-gapped and GovCloud enclaves.
  • Bridge Engineering Boundaries: Act as the lead technical interface and escort between uncleared core engineering teams and secure facilities, ensuring precise, succinct relay of system states, compliance constraints, and high-side operational requirements.
  • Drive Fleet-Wide Supportability & Tooling: Identify systemic issue patterns across federal environments and author custom Python, Bash, or Go diagnostic tools, notebooks, and automated workflows to raise operational efficiency across the entire engineering organization.
  • Partner with Core Engineering: Collaborate directly with Product and Core Engineering leaders to root-cause platform defects, influence product roadmaps, and integrate long-term supportability features into the core codebase.
  • Lead Critical Incident Response: Anchor high-consequence platform incidents under intense pressure, establishing triage structure, making authoritative technical calls with incomplete data, and framing strategic communications for senior government and internal stakeholders.
  • Uphold & Evolve Compliance Guardrails: Navigate and refine operational frameworks inside secure facilities (SCIF), ensuring platform interactions and deployment pipelines strictly align with FedRAMP High, ITAR/IL5, and federal security benchmarks.

What We're Looking For
  • Minimum Qualifications
    • Active TS/SCI security clearance.
    • Bachelor's degree in Computer Science, Systems Engineering, Mathematics, or equivalent practical experience.
    • 7+ years of experience in Systems Engineering, Cloud Infrastructure, Senior Support Engineering, DevSecOps, or a related technical operations role.
    • Deep expertise in Linux/Unix operating-system internals, networking, process/resource debugging, and distributed systems.
    • Hands-on proficiency in Python, Bash, Go, or Java with the ability to read source code, debug software defects, and write custom diagnostic scripts.
    • Proven experience managing, debugging, and operating cloud infrastructure across public or federal cloud boundaries (AWS GovCloud, Azure Government, or GCP).
    • Solid working knowledge of Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation, along with container orchestration mechanics (Docker/Kubernetes).
    • 3+ years of experience writing clear, succinct written and verbal technical communications, including technical status reports, incident summaries, or cross-team escalations.
    • Ability to work on-site out of our McLean, VA secure facility (SCIF), including participation in an on-call rotation for critical incidents.
  • Preferred Qualifications
    • Active Counterintelligence (CI) or Full Scope Polygraph (FSP).
    • Prior experience supporting AWS Worldwide Public Sector (WWPS), isolated defense integration networks, or FedRAMP High / ITAR environments.
    • Hands-on experience operating inside low-egress or fully air-gapped networks where standard external diagnostics are restricted.


Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$153,400-$210,825 USD

BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

About Databricks

Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.
Learn more about Databricks
Size
2,000 employees
Industry
Founded
2013

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