Sr. Staff Security Software Engineer - Agentic Security Engineering

RDQ327R179

While candidates in the listed location(s) are encouraged for this role, candidates in other (US) locations will be considered.

About the Team

The Agentic Security Engineering team is a horizontal, shared services engineering team that enables every Databricks security function AI-native. We enable building the AI agents, "personas," and own the shared platform that security teams across the org (Detection & Response, Threat Intelligence, Vulnerability & Product Security, Red Team, GRC, and Continuous Monitoring) build on to operate at machine speed, safely and reliably.

We leverage AI to transform how security is done.

The Role

As a Senior Staff Security Software Engineer on the Agentic Security Engineering team, you will be a senior technical authority and architect for Databricks’ shared Security AI platform.

You will define the platform architecture, technical standards, and multi-year engineering direction that allow security teams to build, deploy, and operate governed AI personas safely at scale. Your work will span secure agent identity, isolation and sandboxing, policy enforcement, auditability, observability, evaluation, orchestration, and reliable integration with Databricks and security infrastructure.

You will operate across organizational boundaries, aligning engineering and security leaders on platform architecture, driving adoption of common patterns, and resolving complex technical problems that affect multiple security functions. You will influence the quality, safety, reliability, and velocity of the broader Security AI ecosystem without owning the domain logic or business outcomes of every individual persona.

The Impact You Will Have

Shared Security AI Platform Architecture

• Define and evolve the architecture for the shared Security AI platform and its paved road for 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 high-leverage build, buy, and adopt decisions that keep the platform focused on security-specific capabilities while using Databricks platform primitives wherever they meet the need.

• Design the platform to support secure multi-agent workflows, tool registries, policy-aware orchestration, and agent-to-agent collaboration.

Reliable and Safe Agentic Systems at Scale

• Lead the design and development of production-grade platform capabilities that enable security personas to operate reliably across a growing AI and security surface.

• Define how the platform measures successful runs, latency, failure rates, rollback readiness, safety, governance coverage, trust, autonomy, and business value.

• Establish qualification and maturity mechanisms that determine what a security persona may do, what controls it requires, and how it earns additional autonomy.

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

• Improve the velocity of safe AI development without compromising security, governance, or operational reliability.

Cross-Organizational Technical Leadership

• Serve as a technical authority for the shared Security AI platform across Security Operations, Product Security, Governance and Risk, Compliance and Assuran

Responsibilities

• Define and evolve the architecture for the shared Security AI platform and its paved road for 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 high-leverage build, buy, and adopt decisions that keep the platform focused on security-specific capabilities while using Databricks platform primitives wherever they meet the need.
• Design the platform to support secure multi-agent workflows, tool registries, policy-aware orchestration, and agent-to-agent collaboration.
• Lead the design and development of production-grade platform capabilities that enable security personas to operate reliably across a growing AI and security surface.
• Define how the platform measures successful runs, latency, failure rates, rollback readiness, safety, governance coverage, trust, autonomy, and business value.
• Establish qualification and maturity mechanisms that determine what a security persona may do, what controls it requires, and how it earns additional autonomy.
• Drive technical solutions for high-risk workflows, including offensive security personas, untrusted inputs, sensitive data, production access, and automated tool execution.
• Improve the velocity of safe AI development without compromising security, governance, or operational reliability.
• Serve as a technical authority for the shared Security AI platform across Security Operations, Product Security, Governance and Risk, Compliance and Assuran