Senior Staff Security Software Engineer – Agentic Security Engineering

🕒 il y a 3 jours

🏄 California – Distant

🏄 California – Remote

💵 $182 900 - $314 250 / an

⏰ Temps Plein

🟠 Senior

👮‍♂️ Cybersécurité / Ingénieur Sécurité

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 1%

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Databricks

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2013

🤖 Intelligence artificielle

🏢 Entreprise

☁️ SaaS

💰 €1 600 000 000 Series H en 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks est une entreprise spécialisée dans les données et l'IA, offrant une plateforme unifiée pour l'ingénierie des données, l'apprentissage automatique et l'analytique. Elle se concentre sur l'optimisation du traitement des grandes données et aide les organisations à tirer parti d'Apache Spark pour offrir des analyses plus approfondies et des applications puissantes basées sur les données. Databricks propose également des outils robustes et une intégration transparente pour les opérations d'apprentissage automatique.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

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