Valence is seeking an experienced Full Stack Engineer to help build and scale our SaaS security platform — with a growing focus on securing modern SaaS and AI-powered application ecosystems.
At Valence, we protect organizations from threats created by SaaS and AI sprawl by unifying SaaS discovery, security posture, AI governance, and identity threat detection into a single platform. You’ll work on cutting-edge cloud-native systems, helping to deliver solutions that uncover shadow AI apps, detect misconfigurations, and provide robust APIs and interfaces to empower security teams.
What you'll do
Hands-on end-to-end development of core features across the stack (backend, frontend, cloud services).
Work in a cloud-native environment (Azure) and microservices architecture, writing high-quality, maintainable code
Build robust APIs and UI components from design to full implementation
Improve developer experience (DX), test automation, system architecture, and infrastructure
Participate in peer code reviews, sprint planning, and technical discussions
Own technical challenges around scalability, performance, and secure data flows as the product and user base grow
Engage with emerging areas like AI usage patterns, anomaly detection, API protection, and identity security
Requirements
5+ years of experience as a Full Stack or Backend Engineer in production environments
3+ years of backend experience with Go or Node.js, Python, or Scala
Hands-on experience with cloud platforms (Azure), Kubernetes, Docker, Terraform, and PostgreSQL
Proven ability to design, build, and maintain clean, robust APIs
Excellent communication skills and ability to thrive in a fast-paced startup
Why Valence?
Work on a product at the intersection of SaaS Security and AI governance, addressing next-generation enterprise security challenges
A highly collaborative and impact-driven startup culture with ownership from day one
Nice to have
Experience with frontend development using React and TypeScript - a strong
Strong understanding of security-relevant development practices and common risk areas in modern SaaS + AI environments - a strong