Senior Staff Security Software Engineer - Agentic Security Engineering
New
D
Databricks, Inc.AI security
Remote - California. While candidates in the listed location(s) are encouraged for this role, candidates in other (US) locations will be considered.Full-TimeStaff
SalaryZone 1 Pay Range $228,600 — $314,250 USD; Zone 2 Pay Range $205,700 — $282,800 USD; Zone 3 Pay Range $194,200 — $267,100 USD; Zone 4 Pay Range $182,900 — $251,450 USD
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Job Details
- Experience
- 10+ years of progressive experience in software engineering, security platform architecture, or systems security
- Required Skills
- PythonKubernetesMicroservicesDistributed Systems
Requirements
- Bring 10+ years of progressive experience in software engineering, security platform architecture, or systems security.
- Have a proven track record operating at an L7/Senior Staff level at a major cloud, platform, or high-growth technology company.
- Demonstrate exceptional fluency in Python and modern cloud-native systems architecture.
- Have experience with Kubernetes, distributed streaming/storage, and high-throughput microservices.
- Have delivered fault-tolerant, low-latency security infrastructure.
- Demonstrate the ability to align multiple VP/Engineering Director-level organizations on complex technical strategies and deliver multi-quarter architectural transformations.
- Bring practical expertise in AI/ML security, agentic system trust boundaries, prompt injection and tool-use risks, and adversarial testing.
- Have expertise in identity and authorization, data protection, and secure deployment of AI-enabled systems.
- Have experience designing platform guardrails for sensitive workflows involving untrusted input, privileged tools, secrets, production systems, or confidential data.
- Communicate complex platform, security, and reliability tradeoffs to engineers, security leaders, and senior executives.
- Have a track record of raising technical standards through design reviews, mentorship, written architecture proposals, and influence beyond formal reporting lines.
Responsibilities
- Define and evolve the architecture for the shared Security AI platform and its paved road for governed agentic workflows.
- Establish reusable patterns for agent identity, least-privilege access, sandboxing, egress control, secret isolation, policy enforcement, auditability, and rollback.
- Set engineering standards for reliability, observability, evaluation, incident response, cost instrumentation, and safe production deployment.
- Design platform capabilities for secure multi-agent workflows, tool registries, policy-aware orchestration, and agent-to-agent collaboration.
- Define measures for successful runs, latency, failure rates, rollback readiness, safety, governance coverage, trust, autonomy, and business value.
- Drive technical solutions for high-risk workflows involving offensive security personas, untrusted inputs, sensitive data, production access, and automated tool execution.
- Align engineering and security leaders on platform direction, architectural tradeoffs, adoption priorities, and standards for safe agentic systems.
- Drive adoption of common platform patterns and retire duplicated or inconsistent implementations across security teams.
- Mentor engineers, lead design reviews, and influence technical direction through written proposals, architecture reviews, and cross-functional execution.
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