Senior Full Stack

DLP's rule-based framework is broken. We asked machines to find problems with rigid rules, then expected humans to investigate the noise - an impossible task. Jazz is the new model. It starts with total coverage from a forensic endpoint agent and uses a powerful Agentic Investigator that learns your business. It delivers clear, pre-investigated answers instead of alerts, and is designed to be run by a single person. Finally, DLP that works.

Founded in 2024 and backed by leading cybersecurity VCs, we are already deployed with customers worldwide and growing quickly. We're a team obsessed with solving hard problems the right way, and we're looking for builders to join us.

We are seeking a Senior Full Stack Engineer (Frontend Core) to build the UI foundation of Jazz, the architecture, libraries, and tooling that our entire product experience will stand on.

This is a senior-level full-stack role with a heavy focus on frontend infrastructure and library-quality React engineering. You will be the foundational hire for a new dedicated UI team, owning the core technical direction for how our product is built, scaled, and maintained.

What You’ll Do

• Build the core React component architecture and shared UI foundations.
• Define state-management patterns and frontend technical standards across the product.
• Design and maintain the frontend build system, developer workflows, and CI pipelines.
• Ensure the UI platform is performant, scalable, and technically sound.
• Partner closely with backend and product teams to deliver seamless end-to-end experiences.
• Set the groundwork for a high-impact UI team as Jazz continues to grow.
  
  

• 4-6+ years of experience in backend engineering, with strong proficiency in Python and distributed systems.
• Experience building and operating scalable, reliable backend infrastructure (FastAPI, Kafka/Redis, Docker/Kubernetes, observability).
• Solid understanding of secure software design, including safe API development, data protection, and security-oriented engineering practices.
• Ability to own features end-to-end - from architecture and implementation to deployment, monitoring, and ongoing improvements.
• Familiarity with LLM/AI concepts (agents, retrieval, vector search) and the ability to work with these components in production systems.
  
  

• Work on cutting-edge AI + cybersecurity challenges.
• Architect systems with massive technical depth and scale.
• High ownership and autonomy in an early-stage environment.
• Direct impact on product outcomes and engineering decisions.
• Collaborate with elite engineers and founders who have built large-scale systems before.