Senior Full Stack Engineer, Agentic Security

Responsibilities

• Own end-to-end multiple backend services - APIs, data pipelines, shared libraries, and ML-adjacent packages (Python, FastAPI, NestJS)
• Build frontend dashboards and UIs with clean DOM rendering, efficient state management, and solid UX principles (React, TypeScript)
• Design and work with data models and migrations (PostgreSQL), and caching layers (Redis)
• Contribute to CI/CD and deployment infrastructure (Dockerfiles, Helm charts, GitHub Actions, K8s, AWS) and own release cycles end-to-end - versioning, binary packaging (PyInstaller), and distribution
• Write and use agent skills, cursor rules, and structured AI-assisted workflows as part of your daily development process
• Own the quality of what you ship - unit tests, latency tests, performance benchmarks, load tests, and debugging production issues
• Collaborate closely with the Applied Research team to productionize new capabilities

Requirements

• Strong full-stack experience - comfortable building APIs, writing database queries, and shipping React/Next.js UIs
• Built production services with FastAPI or similar frameworks
• Understand dependency management and packaging - comfortable with uv, pyproject.toml, editable installs, and managing dependency graphs across shared libraries
• Owned release cycles end-to-end - versioning, changelogs, binary packaging, and distribution
• Comfortable with infrastructure: Docker, Kubernetes, Helm, GitHub Actions, AWS
• Develop using AI-assisted tools (Cursor, Claude Code, Copilot) and productive in agentic workflows
• Care about code quality, clear abstractions, and keeping things simple
• Working knowledge of Git and comfortable with trunk-based development, rebasing, and clean commit hygiene
• Comfortable working in ambiguity and communicate clearly

Nice to Haves

• Experience building CLIs with clean argument parsing, help text, and user-friendly error handling
• Understanding of Model Context Protocol (MCP), built MCP servers/clients
• Experience with Redis Streams, event-driven architectures, or real-time data pipelines
• Experience with ArgoCD, GitOps workflows, or managing multi-environment deployments
• Interest in AI security