Databricks에서 보안 시설(SCIF) 내 인프라 운영을 책임질 Staff Technical Solution Engineer를 채용합니다. TS/SCI 보안 인가가 필수이며, 클라우드 인프라 및 시스템 엔지니어링 분야에서 7년 이상의 경력이 필요합니다. GovCloud 환경의 안정성을 확보하고 복잡한 시스템 문제를 해결하는 핵심 역할을 수행하게 됩니다.
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As data and Generative AI applications become increasingly foundational to public sector modernization and national security, safeguarding the infrastructure that powers them is paramount. Databricks is looking for a Staff Technical Solution Engineer to join our Cleared Engineering team in McLean, VA. This team sits at the critical intersection of core infrastructure operations and active platform reliability, ensuring our multi-cloud data enclaves and advanced AI software run flawlessly inside highly secure, air-gapped partitions. In this role, you will move beyond reactive ticketing to tackle complex system and network environment blocks, serving as a primary technical pillar for our secure GovCloud operations.
This position offers a unique opportunity to own the operational integrity of high-side platform interactions. You will be responsible for executing sophisticated debugging, deep-dive environment analysis, and running specialized tooling and scripts to unblock internal engineering teams. Operating within a high-consequence compliance framework, you will navigate evolving operational models—including dedicated secure facility operations—while directly engineering out systemic roadblocks. If you are a sharp systems or cloud specialist looking to apply your technical expertise to the world's leading Data and AI platform within the intelligence and defense space, this role offers unmatched technical scope and mission-critical impact.
Minimum Qualifications
Active TS/SCI security clearance.
7+ years of experience in Systems Engineering, Cloud Infrastructure, Support Engineering, DevSecOps, or a related technical operational role.
High-level proficiency in at least one modern language (Python, Go, Bash, or Java) with the technical aptitude to read, edit, and troubleshoot software and infrastructure code natively.
Solid baseline familiarity with Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation.
Hands-on debugging and systems administration experience inside major public cloud boundaries (specifically AWS, Azure, or GCP platforms).
Strong foundation in Linux/Unix systems engineering, containers (Docker/Kubernetes orchestration mechanics), and automated patch deployment pipelines.
Bachelor’s degree in Computer Science, Mathematics, Engineering, or equivalent practical experience.
Ability to work out of our McLean, VA secure facility, including flexibility to support 24x7 operational coverage frameworks within a SCIF environment as required.
Preferred Qualifications
Active Counterintelligence (CI) or Full Scope Polygraph (FSP).
Prior experience supporting AWS World Wide Public Sector (WWPS), Oracle Cloud Infrastructure (OCI) Federal Support, or specialized high-side defense integration environments.
Demonstrated history of navigating complex federal compliance frameworks, GovCloud boundaries, or air-gapped environment constraints.
Strong professional tenure, showing a track record of stability and ownership within complex engineering or defense-intelligence spaces.
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—$210,850 USD
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
**Benefits
**At 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.
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
