Sr. Staff Security Software Engineer - Agentic Security Engineering
Databricks1 day ago
Base Salary
$183k - $314k/yr
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.
Tech Stack
Categories
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.