
1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 $1.6G Series H on 2021-08
Artificial Intelligence • Enterprise • SaaS
Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.
🔥 0 minutes ago
🏄 California – Remote
💵 $182.9k - $314.3k / year
⏰ Full Time
🟠 Senior
👮♂️ Cybersecurity / Security Engineer
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1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 $1.6G Series H on 2021-08
Artificial Intelligence • Enterprise • SaaS
Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.
• 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
• 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
• Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks; specific regional details provided by Databricks • Equal employment opportunity and inclusive hiring practices
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