Job Description
You will design and build foundational pieces of our agentic security platform, from AI agents that investigate real incidents to the distributed systems that keep them fast, safe, and reliable for dozens of security teams. You'll work closely with founders, product, and security experts to turn messy realworld Security operations like SOC, ThreatHunt, Pentest, Security device management etc. into elegant, scalable product experiences. You may own one vertical deeply or work across several in the same project when needed.
In your first few months, you will:
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
What You'll Work On
Your work may include:
AI + Agent Systems
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.
Platform & Architecture
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.
Distributed execution, traceability, observability & data quality Enable high volume workloads with strong logging, metrics, monitoring, and correctness guarantees.
Security & Product Engineering
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.
This is a place where engineers ship, own, iterate, observe, and improve.
Requirements
You'll Thrive Here If You
Think in systems
Like solving undefined problems, not following tickets
Understand distributed systems + AI fundamentals deeply
Enjoy reading RFCs, research papers & learning new tech Must Have
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 Bonus / Great to Have
Worked on SIEM, SOAR, EDR platforms OR cyber security data pipelines Knowledge of RAG, vector DBs, embeddings, Eval frameworks
LangChain / LangGraph / agent implementations
Obsessed with writing clean tests, docs, and elegant abstractions
Benefits
Why Join Us
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
