Lead production-grade platform capabilities for reliable security personas across a growing AI and security surface
Define measures for successful runs, latency, failure rates, rollback readiness, safety, governance coverage, trust, autonomy, and business value
Establish qualification and maturity mechanisms governing persona capabilities, controls, and autonomy
Drive technical solutions for high-risk workflows involving offensive security personas, untrusted inputs, sensitive data, production access, and automated tool execution
Serve as technical authority across Security Operations, Product Security, Governance and Risk, Compliance and Assurance, Enterprise Security, and partner functions
Align engineering and security leaders on platform direction, tradeoffs, adoption priorities, and safe-agentic-system standards
Partner with AI Champions and domain teams to convert recurring needs into reusable platform capabilities
Represent the platform in architecture reviews and cross-functional technical decisions
Drive adoption of common platform patterns and retire duplicated implementations
Mentor engineers on distributed systems, platform architecture, AI security engineering, agentic threat modeling, and technical leadership
Lead design reviews and improve reliability, operability, security, and maintainability
Establish measurable outcomes, disciplined evaluation, safe experimentation, and continuous improvement
Requirements:
10+ years of progressive experience in software engineering, security platform architecture, or systems security
Proven track record operating at an L7/Senior Staff level at a major cloud, platform, or high-growth technology company
Exceptional fluency in Python
Experience with modern cloud-native systems architecture, including Kubernetes, distributed streaming/storage, and high-throughput microservices
Ability to align multiple VP/Engineering Director-level organizations on complex technical strategies and ship multi-quarter architectural transformations
Deep practical expertise in AI/ML security, agentic system trust boundaries, prompt injection and tool-use risks, adversarial testing, identity and authorization, data protection, and secure AI deployment
Experience designing platform guardrails for sensitive workflows involving untrusted input, privileged tools, secrets, production systems, or confidential data
Strong technical communication skills for explaining platform, security, and reliability tradeoffs to engineers, security leaders, and senior executives
Track record of raising the technical bar through design reviews, mentorship, written architecture proposals, and influence beyond formal reporting lines
Benefits:
Eligibility for annual performance bonus
Equity
Comprehensive benefits and perks; specific regional details provided by Databricks
Equal employment opportunity and inclusive hiring practices