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# Fullstack Engineer

- **Company:** Allen, Bob
- **Location:** San Francisco, CA, United States
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Software as a Service, Cloud Computing Security, Cyber Security, Software Debugging, Identity and Access Management, Security Software, Systems Integration, TypeScript, Software Vulnerability Management, Data Logging, ReactJS, Software Security, Backend, Material UI, Front End Software Development, Restful APIs, Pagination, Golang
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_69a4a87bf45c557e2e2a0ea0dff1d180

## About the Role

* Startup experience:you've shipped product in a startup / high-growth environment (ambiguity, pace, ownership)
 * Security software product experience:you've built or maintained asecurity product(e.g., compliance automation/GRC, AppSec tooling, IAM, cloud security, vulnerability management, audit/evidence workflows, security operations tooling) as a core part of the product

Technical

 * Go (Golang):production backend services
 * React:modern React UI work in real products
 * TypeScript:strong TS (not just JavaScript)
 * API engineering:production REST APIs (gRPC also relevant)
 * 3rd-party integrations:reliable integrations with external SaaS APIs; handling upstream failures gracefully
 * Production observability:monitoring/logging (bonus for metrics/tracing)
 * Fullstack debugging:able to diagnose issues across backend + browser/UI
 * Performance for data-heavy UX:pagination + caching (and evidence you've handled volume)

## Description

* Build end-to-end product features across backend (Go) and frontend (React/TypeScript)
 * Design and implement APIs that power dashboards, workflows, and reporting
 * Build UI components that present complex data clearly and drive user action
 * Implement robust error handling and fallback behaviour for upstream dependencies
 * Optimize performance end-to-end (caching, pagination, query design) for high-volume data
 * Add monitoring/analytics to track feature usage, success rates, and reliability
 * Collaborate closely with engineering/product/design and iterate based on real usage