Principal Software Engineer, AI SIEM

🕒 Julho 28

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $216.000 - $297.000 / ano

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

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SentinelOne

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2013

💼 Consultoria

🏥 Saúde

📦 Logística

Consulting • Healthcare • Logistics

A SentinelOne é líder em cibersegurança autônoma, conhecida pelo uso inovador de IA em soluções de proteção de endpoint, cloud e identidade. É reconhecida pela Gartner como Líder no Magic Quadrant for Endpoint Protection Platforms por quatro anos consecutivos. A plataforma Singularity da SentinelOne integra a segurança corporativa, oferecendo recursos como detecção de ameaças com IA, segurança de endpoints e de cloud, gestão de vulnerabilidades e threat intelligence. A empresa atende diversos setores ao entregar proteção em tempo real e eficiência operacional, aproveitando IA para threat hunting avançado e log analytics. Com forte foco na redução de risco e na melhoria do desempenho de segurança, a SentinelOne atende empresas no mundo todo com soluções seguras e escaláveis.

Descrição

• Build a working mental model of the full system, including ingest and storage, query and retrieval, analyst-facing workflows (alerts, findings, assets, incidents), and the detection engines (rule-based and beyond), and use it to identify where architecture is solid, where it's fragile, and where teams are unknowingly duplicating effort or leaving gaps between their boundaries. • Drive cross-team architectural decisions that affect multiple parts of the system at once, for example, how ingest-time enrichment should relate to detection logic, or how detection output should shape what an analyst sees and can act on. • Partner with the engineering leads of each pillar (data platform, analyst experience, detection engines) as a peer thought partner, not a top-down authority, influencing through technical credibility and clear reasoning, not mandate. • Identify and prioritize the highest-leverage architectural investments across the system, and make the case for them to engineering leadership and product. • Get hands-on where it matters: prototype, review, and occasionally build the connective tissue between pillars when no single team naturally owns it. • Establish and champion cross-cutting technical standards, for APIs, data contracts, and service boundaries, that keep independently-developed pillars interoperable as they evolve. • Mentor senior and staff engineers across teams, raising the bar for architectural thinking org-wide, not just within one team. • Represent the technical health of the overall system in planning and leadership conversations, translating "what's exceptional, what's a gap, what's redundant" into a roadmap.

🎯 Requisitos

• Deep experience (15 or more years) building and operating large-scale distributed backend systems, with direct experience in at least two of: high-throughput data ingest/storage, query engines, or detection/rules systems. • A demonstrated track record of reasoning about systems at the architecture level, not just implementing a spec, but identifying where a system's boundaries are wrong, where responsibilities overlap, and where they leave gaps. • Experience designing APIs and service contracts that need to hold up across teams and years, not just within one codebase. • Comfort operating without a single clear chain of command, influencing peer teams and senior engineers through the strength of your reasoning. • A four-year degree in Computer Science or equivalent practical experience. • Familiarity with security operations concepts (alerts, findings, assets, incidents, detection rules) is preferred; if you don't have direct SIEM/XDR background, you should be someone who can get fluent in a new domain fast. • Experience with modern cloud infrastructure and data-intensive systems (distributed storage, high-cardinality querying, streaming pipelines) is preferred; specific tools matter less than demonstrated judgment about tradeoffs at scale. • Exposure to both rule-based and ML/AI-driven detection approaches is a plus, but the more important trait is being able to reason about when each is the right tool.

🏖️ Benefícios

• Restricted Stock Units (RSUs) • Employee Stock Purchase Plan (ESPP) • Flexible time off • Paid company holidays and paid sick time • Gender-neutral parental leave • Grandparent leave • Medical, dental, and vision coverage • 401(k) retirement plan with company match • Life and disability insurance • Health and dependent care FSA • Voluntary benefits (hospital, accident, critical illness) • Employee Assistance Program (EAP) • ARAG pre-paid legal • Nationwide pet insurance • Cancer Care program • Global business travel medical insurance • Home office allowance • Mobile phone reimbursement • Wellness coach • Wellness/gym reimbursement • Fertility coverage • Adoption & surrogacy reimbursement