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Sr. Staff Security Software Engineer - Agentic Security Engineering

Databricks· Engineering
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Remote$228.6k - $314.3kfull-timePosted 1w ago

About the role

Senior technical authority and architect for Databricks’ shared Security AI platform. Defines platform architecture, standards, and multi-year direction to enable secure, governed AI personas at scale across security functions.

Responsibilities

  • Define the platform 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.
  • 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 enabling security personas to operate reliably across AI/security surface.
  • Define metrics for platform success (latency, failure rates, rollback readiness, safety, governance, trust, autonomy, business value).
  • Establish qualification and maturity mechanisms for what a security persona may do and how it earns autonomy.
  • Drive technical solutions for high-risk workflows (offensive security personas, untrusted inputs, production access, automated tool execution).
  • Improve velocity of safe AI development without compromising security or operational reliability.
  • Serve as technical authority across Security Operations, Product Security, Governance and Risk, Compliance and Assurance, Enterprise Security, and other functions.
  • Align leaders on platform direction, architectural tradeoffs, and adoption priorities.
  • Partner with AI Champions and domain teams to turn recurring needs into reusable platform capabilities.
  • Represent the platform in architecture reviews and technical decisions.
  • Drive adoption of common platform patterns and retire duplicates across teams.
  • Mentor engineers on distributed systems, platform architecture, AI security engineering, and technical leadership.
  • Lead rigorous design reviews and raise reliability, operability, security, and maintainability.

Qualifications

  • 10+ years of progressive software engineering, security platform architecture, or systems security experience at L7/Senior Staff level.
  • Production systems engineering with Python and cloud-native architectures (Kubernetes, distributed streaming/storage, high-throughput microservices).
  • Experience delivering fault-tolerant, low-latency security infrastructure.
  • Ability to align multiple VP/Engineering Director-level groups on complex technical strategies and ship multi-quarter architectural transformations.
  • Deep expertise in AI/ML security, agentic system trust boundaries, prompt injection and 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 input, privileged tools, secrets, production systems, or confidential data.
  • Strong technical communication skills to explain platform, security, and reliability tradeoffs to engineers, security leaders, and executives.
  • Track record of raising technical standards through design reviews, mentorship, architecture proposals, and cross-functional influence.

Skills

Required:PythonCloud-native architecturesPlatform architectureSecurity concepts (identity, authorization, sandboxing, policy enforcement)Communication

Benefits

  • Comprehensive benefits package (region-specific details available)
  • Opportunities for professional growth and mentorship
  • Inclusive work culture and commitment to diversity and inclusion
Last updated Oct 15, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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