Databricks Inc
Staff Security Software Engineer - Agentic Security Engineering
United States · Staff+
Sponsorship not specified$190k-$261kDetected 1 day ago
PythonDatabricksMachine LearningSparkLLMsAgentic AIMLOpsCybersecurityDetection EngineeringManual TestingUnityResearchLeadershipMentoring
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odds of building a lasting career here
64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 72 green-card filings in this occupation, 99% were for a worker who already held the job.
Green-card follow-through: 55%
Of 56 labor certifications old enough to have been used, 25 expired without the employer filing the next step. Median time from filing to decision: 482 days.99% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.
Files H-1B transfers
163 transfer filings in the last year, covering 1450 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- We leverage AI to transform how security is done.
- Agentic Security Engineering Architecture
- Establish AI quality and evaluation practices: eval frameworks, LLM-as-judge (with bias controls), and regression gates that catch quality drops before production.
Responsibilities
- You set the standards for how agents are built and operated and co-build with partner security teams.
- Design, ship, and operate production AI agents/personas that security teams depend on, starting with AI threat detection at scale.
- Build and harden the shared platform so any security team can ship agents safely and reliably - i.e., sandboxing, scoped least-privilege identity, observability, and a reusable agent/tool catalog.
- Set engineering standards and make reliability first-class - design review bar, latency/cost optimization, monitoring, clean CI-based deploys, and safe model upgrades.
- Lead the design and development of AI platform capabilities that operate at production scale - behavioral analysis of usage, detection of prompt injection attempts, and anomaly detection on agentic workflow behavior.
- Drive technical strategy for AI red-teaming tooling: automated adversarial testing platforms that simulate how real attackers attempt to abuse Databricks' AI systems.
- Co-build with and enable partner teams across the security org, and mentor mid-level engineers.
- Lead design reviews, define team engineering practices, and drive continuous improvement in the quality and reliability of AI security tooling.
Requirements
- Hands-on experience with modern agentic frameworks and LLM tooling (e.g., LangChain, Hugging Face, frontier models) and MCP-style tool integration.
Nice to have
- Research contributions or deep familiarity with adversarial ML, AI safety, or AI red-teaming methodology.
- Experience with MLOps platforms, AI serving infrastructure, or AI platform security at cloud scale.
- Familiarity with AI governance standards (NIST AI RMF, ISO/IEC 42001, EU AI Act technical provisions) as they apply to security engineering.
- Open-source contributions or publications in AI security, adversarial ML, or security tooling.
Compensation
- Databricks is committed to fair and equitable compensation practices.
- The pay range(s) for this role is listed below and represents the expected base 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.
- The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
- Zone 1 Pay Range
- $190,000 - $261,250 USD
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.
Company info
- Overview Culture Benefits Diversity Engineering Research Students & new grads
- Staff Security Software Engineer - Agentic Security Engineering
- United States
- This role can be based remotely anywhere in the United States.
- About Databricks
- Databricks is the data and AI company.
- More than 12,000 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.
Equal opportunity
- Our Commitment to Diversity and Inclusion
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This listing is sourced directly from Databricks Inc's careers page and normalized into a canonical job model.