Senior Staff Security Software Engineer – Agentic Security Engineering

🕒 Outubro 13

🏄 California – Remoto

🏄 California – Remote

💵 $182.900 - $314.250 / ano

⏰ Tempo Integral

🟠 Sênior

👮‍♂️ Cibersegurança / Engenheiro de Segurança

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 1%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Databricks

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2013

🤖 Inteligência Artificial

🏢 Corporativo

☁️ SaaS

💰 $1.600.000.000 Series H em 2021-08

Artificial Intelligence • Enterprise • SaaS

A Databricks é uma empresa de dados e IA que oferece uma plataforma unificada para engenharia de dados, machine learning e analytics. Focada em otimizar o processamento de big data, ajuda organizações a aproveitar o Apache Spark para gerar insights mais profundos e criar aplicações poderosas orientadas por dados. A Databricks também disponibiliza ferramentas robustas e integração perfeita para operações de machine learning (MLOps).

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

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

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo