Senior Staff Security Software Engineer – Agentic Security Engineering

This is a fully remote position, open to applicants in California.

📋 Description

• Define and enhance the architecture for Databricks’ shared Security AI platform and governed agentic workflows.

• Create reusable patterns for agent identity, least-privilege access, sandboxing, egress control, secret isolation, policy enforcement, auditability, and rollback.

• Establish engineering standards for reliability, observability, evaluation, incident response, cost instrumentation, and safe production deployment.

• Make decisions on building, buying, and adopting using Databricks platform primitives when suitable.

• Design secure multi-agent workflows, tool registries, policy-aware orchestration, and collaboration between agents.

• Lead the development of production-grade platform capabilities for dependable security personas across an expanding AI and security landscape.

• Define metrics for successful operations, latency, failure rates, rollback readiness, safety, governance coverage, trust, autonomy, and business value.

• Establish qualification and maturity mechanisms that govern persona capabilities, controls, and autonomy.

• Drive technical solutions for high-risk workflows that involve offensive security personas, untrusted inputs, sensitive data, production access, and automated tool execution.

• Act as the 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 standards for safe-agentic systems.

• Collaborate with AI Champions and domain teams to transform recurring needs into reusable platform capabilities.

• Represent the platform in architecture reviews and cross-functional technical decisions.

• Promote the adoption of common platform patterns and phase out redundant implementations.

• Mentor engineers on distributed systems, platform architecture, AI security engineering, agentic threat modeling, and technical leadership.

• Lead design reviews and enhance reliability, operability, security, and maintainability.

• Establish measurable outcomes, disciplined evaluations, safe experimentation, and continuous improvement.

⛳️ Requirements

• Over 10 years of progressive experience in software engineering, security platform architecture, or systems security.

• Proven history of operating at an L7/Senior Staff level within a major cloud, platform, or rapid-growth technology company.

• Exceptional proficiency in Python.

• Experience with contemporary cloud-native systems architecture, including Kubernetes, distributed streaming/storage, and high-throughput microservices.

• Proven track record in delivering fault-tolerant, low-latency security infrastructure.

• Ability to align multiple VP/Engineering Director-level organizations on intricate technical strategies and execute multi-quarter architectural transformations.

• Extensive practical knowledge 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 in designing platform guardrails for sensitive workflows involving untrusted input, privileged tools, secrets, production systems, or confidential data.

• Strong technical communication skills for articulating platform, security, and reliability tradeoffs to engineers, security leaders, and senior executives.

• History of elevating the technical standards through design reviews, mentorship, written architecture proposals, and influence beyond formal reporting lines.

🏝️ Benefits

• Eligibility for an annual performance bonus.

• Equity.

• Comprehensive benefits and perks; specific regional details provided by Databricks.

• Equal employment opportunity and inclusive hiring practices.