Senior Security Platform Engineer – AI-native Agents

FDE Times; California; Sur place; USD 229 000 - 314 000; Plein temps

Résumé du poste

Databricks is seeking a Senior Staff Security Software Engineer to serve as a technical authority for the shared Security AI platform. You will define the architecture, standards, and multi-year engineering direction that lets security teams build, deploy, and operate governed AI personas safely at scale.

Your work spans secure agent identity, isolation and sandboxing, policy enforcement, auditability, observability, evaluation, orchestration, and reliable integration with Databricks

Qualifications

• 10+ years of progressive experience in software engineering, security platform architecture, or systems security.
• Fluency in Python and cloud-native architectures (Kubernetes, distributed streaming/storage, high-throughput microservices) for secure infrastructure.
• Ability to align multiple VP/Engineering Director-level organizations on complex strategies and ship multi-quarter architectural transformations.

Responsabilités

• Define the platform architecture and multi-year engineering direction for the shared Security AI platform.
• Lead the design of agent identity, isolation, policy enforcement, observability, and secure integration with Databricks infrastructure.
• Drive cross-organizational alignment and adoption of common platform patterns across security functions.

Connaissances

Python

Distributed systems

Security platform architecture

Architectural leadership

Technical communication

Outils

Kubernetes

Description du poste

Databricks is seeking a Senior Staff Security Software Engineer to serve as a technical authority for the shared Security AI platform. You will define the architecture, standards, and multi-year engineering direction that lets security teams build, deploy, and operate governed AI personas safely at scale.

Your work spans secure agent identity, isolation and sandboxing, policy enforcement, auditability, observability, evaluation, orchestration, and reliable integration with Databricks