Principal Engineer – Agentic Security Operations

🔥 8 minutes ago

🏄 California – Remote

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💵 $170.9k - $227.9k / year

⏰ Full Time

🔴 Lead

🛡️ Security Operations

🦅 H1B Visa Sponsor

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Logo of First American

First American

10,000+ employees

Founded 1889

🏠 Real Estate

💸 Finance

🏢 Enterprise

Real Estate • Finance • Enterprise

First American is a historical company that has been operating since 1889, evolving into a $9 billion organization with over 20,000 employees and more than 700 offices worldwide. The company provides a range of products and services that assist homebuyers, sellers, businesses, and investors in the real estate market. With a strong focus on employee engagement and culture, First American emphasizes innovation, technology, and community involvement, driving transformation within the real estate industry.

📋 Description

• Lead the architecture and hands-on implementation of Agentic Security Operations capabilities across the SOC • Define and evolve reference architecture for governed data services, agent capabilities, workload routing, execution environments, and deterministic orchestration • Build reusable capabilities that translate operational intent into tested, reviewable, and auditable security outcomes • Establish engineering standards for creating, testing, registering, approving, releasing, monitoring, and retiring agents • Advance detection-as-code practices, including versioning, simulation, deployment, tuning, migration, and rollback • Build governed knowledge and context services with authoritative documentation, policies, operational history, citations, freshness information, and permission-aware retrieval • Design workload identity, least-privilege access, short-lived authorization, spend controls, approval gates, audit trails, rollback, and emergency shutdown mechanisms • Define autonomy levels for automated, human-approved, and analyst-led activities • Establish agent evaluation and observability through replay, synthetic scenarios, comparisons, policy tests, traces, outcome verification, and regression testing • Measure quality, security, reliability, latency, cost, analyst acceptance, and operational impact • Engineer integrations across search, case management, workflow, communications, and response systems • Ensure consequential response actions are deterministic, attributable, reversible, and subject to human oversight • Design production reliability, continuity, recovery, and support models • Lead proofs of concept and architecture evaluations using measurable criteria • Collaborate with enterprise architecture, infrastructure, data, risk, privacy, legal, and compliance teams • Mentor engineers, establish technical standards, review designs, and influence Threat Detection Engineering strategy • Present technical decisions, risks, tradeoffs, and investment recommendations to engineering and executive stakeholders • Partner across Threat Detection and Response groups to translate operational feedback into improvements

🎯 Requirements

• Extensive experience designing and operating enterprise security, software, data, or distributed systems at scale • Principal-level technical leadership with hands-on architecture, prototyping, coding, testing, and production delivery • Hands-on experience delivering production AI-assisted or agentic systems using tools, memory, retrieval, planning, and structured workflows • Strong understanding of security operations, including telemetry management, detection engineering, threat hunting, triage, investigation, response, and automation • Experience with high-volume streaming and batch data pipelines, object-based storage, elastic analytics, distributed query, schema management, and data-quality controls • Experience designing modular agents, reusable capabilities, workload routing, local and managed execution, and human-in-the-loop workflows • Deep understanding of grounding, retrieval, source attribution, context freshness, permission inheritance, and protection against untrusted or manipulated context • Experience evaluating nondeterministic systems using versioned test sets, historical replay, synthetic scenarios, regression testing, and measurable outcome criteria • Strong software-engineering practices, including source control, automated testing, continuous delivery, infrastructure automation, peer review, and rollback • Experience designing secure APIs, event-driven integrations, workload identities, authorization boundaries, secrets management, and auditable action execution • Knowledge of AI security risks such as prompt injection, data poisoning, excessive agency, sensitive-data exposure, insecure tool use, and model or workflow drift • Strong production-engineering experience covering observability, service objectives, capacity, failure isolation, continuity, recovery, and operational support • Ability to evaluate emerging capabilities critically and validate architectural assumptions through controlled testing • Excellent written and verbal communication skills • Ability to lead through influence and work effectively across organizational and technical boundaries • Hands-on experience with cloud-scale data and analytics platforms supporting security operations, including Databricks, Snowflake, or similar technologies • Experience operating and migrating security analytics and detection workloads across modern platforms • Strong working knowledge of AWS, Azure, and GCP, including identity, networking, logging, data protection, and workload-security controls • A minimum of 10 years’ experience in cybersecurity or relevant fields • Bachelor’s degree in computer science, Information Technology, Cybersecurity, a related field, or equivalent work experience • Preferred certifications such as GASAE, GAIPS, GDSA, GCDA, CEH, OSCP, CISSP, etc. • Preferred experience modernizing centralized security analytics environments, knowledge graphs, entity resolution, semantic normalization, retrieval-augmented systems, multi-agent coordination, security-content migration, detection engineering, incident response, threat hunting, adversary emulation, security automation, AI governance, and internal security platforms

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • 401(k) • PTO/paid sick leave • Employee stock purchase plan • Inclusive workplace culture • Equal opportunity employment

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