Full Stack Engineer

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Simbian

Site WebLinkedInTous les Emplois

11 - 50 employés

🤖 Intelligence artificielle

🔒 Cybersecurity

Artificial Intelligence • Cybersecurity • Software as a Service

Simbian est une plateforme de sécurité opérationnelle alimentée par l'IA qui utilise des agents autonomes conscients du contexte pour trier, enquêter et répondre aux menaces pour les entreprises et les MSSP. Son Simbian Context Lake™ unifie les données SOC, les comportements des adversaires et les signaux de l'entreprise pour permettre des flux de travail SOC autonomes — y compris la hiérarchisation des alertes, la chasse aux menaces, les tests de pénétration automatisés et l'automatisation de la conformité — en utilisant des LLM privés et de larges intégrations. La plateforme est conçue pour réduire le temps de présence, augmenter la couverture pour traiter toutes les alertes 24h/24 et 7j/7, et accélérer les résultats SecOps ainsi que la productivité des analystes.

Description

• Own end-to-end design & delivery of features you take up • Ship platform, agent, or integration capabilities at high velocity • Collaborate not just with product & engineering leaders, but also sales, marketing, and customer-facing teams to shape what we build and why • Deploy features into live production environments, with ownership beyond delivery — including monitoring, stability, and iteration post-launch • Building agents for SecOps → Develop autonomous agents that investigate alerts, triage threats, respond, and close cases with minimal human input. • Designing tool schemas, workflows, memory stores for agents → Define structured tool interfaces, execution paths, and long-term memory for reasoning across tasks. • LangGraph based flows for agents (or another agentic framework) → Build multi step agent workflows with branching logic, retries, validation, and conditional tool calling. • Safe-execution loops with guardrails, policy layers, and approvals → Ensure agents operate within risk boundaries using policy controls and human-review checkpoints. • Building high-scale, multi-tenant backend systems→ Architect services that securely support many customer environments in parallel without resource collisions. • Designing ingestion, indexing & agent memory retrieval layers → Build pipelines that ingest customer security data, store it as agent-accessible memory, and retrieve relevant context instantly. • Implementing evaluation pipelines & scoring frameworks for agents → Measure agent quality using scoring metrics, test harnesses, regressions, and continuous feedback signals. • Real-time incident lifecycle automation end-to-end → Automate detection → enrichment → investigation → response with minimal human touch. • Attack simulation & golden dataset creation → Generate controlled attack scenarios to evaluate agents and build benchmark datasets for continuous improvement. • SIEM, SOAR, EDR, NDR style integrations → Integrate with enterprise security products, ingest telemetry, push remediation actions, and unify signals across the stack.

🎯 Exigences

• Strong backend development experience (Python/Go/Node preferred) • Solid understanding of distributed systems fundamentals • Experience with microservices, async execution, event streams • Familiarity with cloud infra (AWS/GCP/Azure), containers, CI/CD • Ownership mindset — ability to take a problem from zero → shipped • Think in systems • Like solving undefined problems, not following tickets • Understand distributed systems + AI fundamentals deeply • Enjoy reading RFCs, research papers & learning new tech

🏖️ Avantages

• Build an AI-first SOC platform from scratch • Work directly with founders/leaders on architecture, product direction. • Ship fast, learn fast, own deeply • Be there early — where impact compounds