Sr. Staff Security Software Engineer - Agentic Security Engineering
Databricks · Remote - California · Security · listed October 13, 2026
The shape of it
Seniority
Staff
Experience asked
10+ years
Where
Remote
Stated pay
$228,600 – $314,250 USD
Requirements listed
7
Length
1,238 words
In the posting’s own words
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.
What it asks for · 7
- 10+ years of progressive experience in software engineering, security platform architecture, or systems security, with a proven track record of operating at an L7/Senior Staff level at a major cloud, platform, or high-growth tech company.
- Production Systems Engineering: Exceptional fluency in Python and modern cloud-native systems architecture (Kubernetes, distributed streaming/storage, high-throughput microservices) with experience delivering fault-tolerant, low-latency security infrastructure.
- Multi-Org Architectural Execution: Demonstrated ability to align multiple VP/Engineering Director-level organizations on complex technical strategies and successfully 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 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, including the ability to explain complex platform, security, and reliability tradeoffs to engineers, security leaders, and senior executives.
- A track record of raising the technical bar through design reviews, mentorship, written architecture proposals, and influence beyond formal reporting lines.
Also a plus
- Experience building secure agent platforms, developer platforms, security control planes, or internal infrastructure used by multiple teams.
- Experience with MLOps, AI serving infrastructure, security data platforms, detection systems, or large-scale security automation.
- Published research, patents, or recognized contributions in adversarial ML, AI safety frameworks, or open-source security platforms.
- Hands-on experience building or securing large-scale LLM training pipelines, vector databases, or AI agent runtime environments.
- Deep understanding of emerging global AI regulatory technical requirements (EU AI Act, NIST AI RMF) and how to encode them into engineering primitives.
Tools and skills named
Security & compliance
- Security39×
- Regulatory
- Threat modeling
Cloud & infra
- Observability3×
- Distributed systems
- Kubernetes
- Microservices
Data
- Databricks4×
- Experimentation
Ways of working
- Cross-functional2×
- Mentorship2×
- Testing
Models & research
- Machine learning2×
- LLM
Languages
- Python
Words the posting leans on
- security38×
- platform25×
- technical13×
- engineering11×
- systems10×
- agentic7×
- agent6×
- experience6×
- personas6×
- platform architecture6×
- reliability5×
- safe5×
- secure5×
- security platform5×
- data4×
- design4×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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