Sr. Staff Security Software Engineer

Responsibilities

• Define and evolve the shared Security AI platform architecture and reusable patterns for governed agentic workflows.
• Design and develop production-grade capabilities for agent identity, least-privilege access, sandboxing, egress control, secret isolation, policy enforcement, auditability, rollback, and safe deployment.
• Establish standards and measurement systems for reliability, observability, evaluation, incident response, cost, safety, governance, autonomy, and business value.
• Design guardrails and qualification mechanisms for high-risk workflows involving untrusted inputs, privileged tools, sensitive data, production access, and automated tool execution.
• Align engineering and security leaders across multiple organizations on platform direction, architectural tradeoffs, adoption priorities, and technical standards.
• Drive adoption of common platform patterns and replace duplicated or inconsistent security implementations.
• Mentor engineers, lead rigorous design reviews, and raise standards for reliability, operability, security, and maintainability.

Requirements

• 10+ years of progressive experience in software engineering, security platform architecture, or systems security, with experience operating at an L7/Senior Staff level at a major cloud, platform, or high-growth technology company.
• Exceptional fluency in Python and modern cloud-native systems architecture, including Kubernetes, distributed streaming or storage, and high-throughput microservices.
• Experience delivering fault-tolerant, low-latency security infrastructure and executing multi-quarter architectural transformations across multiple organizations.
• Deep practical expertise in AI/ML security, agentic system trust boundaries, prompt injection, tool-use risks, adversarial testing, identity and authorization, data protection, and secure deployment of AI-enabled systems.
• Experience designing platform guardrails for sensitive workflows involving untrusted inputs, privileged tools, secrets, production systems, or confidential data.
• Strong technical communication skills and the ability to explain complex platform, security, and reliability tradeoffs to engineers, security leaders, and senior executives.
• Track record of raising technical standards through design reviews, mentorship, written architecture proposals, and influence beyond formal reporting lines.
• Preferred experience includes building secure agent platforms, developer platforms, security control planes, or internal infrastructure used by multiple teams.
• Preferred experience includes MLOps, AI serving infrastructure, security data platforms, detection systems, large-scale security automation, LLM training pipelines, vector databases, or AI agent runtime environments.
• Published research, patents, recognized open-source security contributions, or knowledge of EU AI Act and NIST AI RMF requirements is desirable.

Benefits

• Databricks offers comprehensive benefits and perks, with region-specific details available through the company benefits page.
• Candidates in locations other than those listed may be considered if they are in the United States.
• The compensation package may include annual performance bonus, equity, and benefits in addition to base salary.