Senior Staff Security Software Engineer – Agentic Security Engineering

Databricks

. Define and evolve the architecture for Databricks’ shared Security AI platform and governed agentic workflows .

Posted 10/13/2026full-timeRemote • California • United StatesSenior💰 $182,900 - $314,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in Security Platform Architecture, AI/ML Security, and Cloud-Native Systems, with a strong focus on designing secure workflows and establishing engineering standards for reliability and observability. Proven ability to lead cross-functional teams and mentor engineers while driving architectural transformations and technical solutions for high-risk workflows.

Highest-signal resume keywords

Security Platform ArchitectureAI/ML Security ExpertisePython ProgrammingCloud-Native Systems ArchitectureTechnical Communication Skills

ATS Keywords

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Hard Skills

Software EngineeringDistributed SystemsFault-Tolerant InfrastructureLow-Latency SystemsKubernetesMicroservicesAdversarial TestingIdentity and AuthorizationData ProtectionSecure AI Deployment

Soft Skills

Technical LeadershipMentorshipCross-Functional CollaborationInfluence Beyond Reporting Lines

Industry Keywords

Agentic SystemsSecurity OperationsGovernance and RiskCompliance and AssuranceProduction Systems

Tech Stack

Tools & technologies

CloudDistributed SystemsKubernetesMicroservicesPython

About the role

Key responsibilities & impact

Define and evolve the architecture for Databricks’ shared Security AI platform and 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 build, buy, and adopt decisions using Databricks platform primitives where appropriate
Design secure multi-agent workflows, tool registries, policy-aware orchestration, and agent-to-agent collaboration
Lead production-grade platform capabilities for reliable security personas across a growing AI and security surface
Define measures for successful runs, latency, failure rates, rollback readiness, safety, governance coverage, trust, autonomy, and business value
Establish qualification and maturity mechanisms governing persona capabilities, controls, and autonomy
Drive technical solutions for high-risk workflows involving offensive security personas, untrusted inputs, sensitive data, production access, and automated tool execution
Serve as technical authority across Security Operations, Product Security, Governance and Risk, Compliance and Assurance, Enterprise Security, and partner functions
Align engineering and security leaders on platform direction, tradeoffs, adoption priorities, and safe-agentic-system standards
Partner with AI Champions and domain teams to convert recurring needs into reusable platform capabilities
Represent the platform in architecture reviews and cross-functional technical decisions
Drive adoption of common platform patterns and retire duplicated implementations
Mentor engineers on distributed systems, platform architecture, AI security engineering, agentic threat modeling, and technical leadership
Lead design reviews and improve reliability, operability, security, and maintainability
Establish measurable outcomes, disciplined evaluation, safe experimentation, and continuous improvement

Requirements

What you’ll need

10+ years of progressive experience in software engineering, security platform architecture, or systems security
Proven track record operating at an L7/Senior Staff level at a major cloud, platform, or high-growth technology company
Exceptional fluency in Python
Experience with modern cloud-native systems architecture, including Kubernetes, distributed streaming/storage, and high-throughput microservices
Experience delivering fault-tolerant, low-latency security infrastructure
Ability to align multiple VP/Engineering Director-level organizations on complex technical strategies and ship multi-quarter architectural transformations
Deep practical expertise in AI/ML security, agentic system trust boundaries, prompt injection and tool-use risks, adversarial testing, identity and authorization, data protection, and secure AI deployment
Experience designing platform guardrails for sensitive workflows involving untrusted input, privileged tools, secrets, production systems, or confidential data
Strong technical communication skills for explaining platform, security, and reliability tradeoffs to engineers, security leaders, and senior executives
Track record of raising the technical bar through design reviews, mentorship, written architecture proposals, and influence beyond formal reporting lines

Benefits

Comp & perks

Eligibility for annual performance bonus
Equity
Comprehensive benefits and perks; specific regional details provided by Databricks
Equal employment opportunity and inclusive hiring practices