Senior Staff Security Software Engineer – Agentic Security Engineering

Job Description:

• Define and evolve the architecture for Databricks’ shared Security AI platform and 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
• Make build, buy, and adopt decisions using Databricks platform primitives where appropriate
• Design secure multi-agent workflows, tool registries, policy-aware orchestration, and agent-to-agent collaboration
• 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
• Experience delivering fault-tolerant, low-latency security infrastructure
• 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