Full Stack Engineer

🕒 December 11, 2025

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Simbian

11 - 50 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

Artificial Intelligence • Cybersecurity • Software as a Service

Simbian is a cutting-edge technology company specializing in autonomous AI agents designed to enhance security intelligence, speed, and efficiency for organizations. Its platform leverages AI to transform security analysts into programmers without the need for coding, offering integration with existing security infrastructures without disruption. Simbian's AI Agents deliver increased productivity and cost savings, automating common tasks and preserving best practices. The company's solutions support a unified security architecture and communicate in natural language, working seamlessly with various security products. Simbian is proud of its SOC2 compliance, ensuring high security standards and aims to revolutionize security practices through its hallucination-free trusted large language models (LLMs). Offering both SaaS and on-premise solutions, Simbian caters to a global audience, making security management more strategic and effective.

📋 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.

🎯 Requirements

• 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

🏖️ Benefits

• 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

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