AI-Native Cybersecurity | Python • Distributed Systems • React/TypeScript
Why You’ll Actually Care
Building an AI prototype is one challenge. Engineering the software that makes it reliable, observable, and useful in production is another.
District Partners is working closely with an AI-native cybersecurity company that has secured Series B funding after rapidly progressing from launch to enterprise adoption. The team is building technology that helps organizations uncover and address exploitable risks, and hiring engineers who can turn emerging AI capabilities into production software.
You’ll build products from scratch, shape foundational architecture, and own the services, orchestration, interfaces, and developer tools behind the platform. For an engineer who wants difficult systems problems, substantial technical ownership, and meaningful equity, this is an opportunity to help define the product while it is still taking shape.
The Basics
This is a software engineering role spanning Python backend services, distributed execution, and React/TypeScript applications. The scope runs from early technical exploration through production delivery.
The engineering bar is high. Strong candidates will bring evidence of building technically demanding software, making sound architectural decisions, and taking personal responsibility for how their systems perform after launch.
What You’ll Be Owning
- Build from 0 to 1. Translate emerging product needs into technical designs, prototypes, and production systems, making thoughtful decisions as requirements evolve.
- Engineer the orchestration layer. Develop Python services that coordinate complex workflows, tool interactions, and concurrent or distributed execution.
- Make AI capabilities usable. Build React and TypeScript applications that give users intuitive access to sophisticated platform functionality.
- Solve production systems problems. Diagnose failures, address performance bottlenecks, and improve reliability, responsiveness, and operating efficiency.
- Build the tools to understand the system. Develop evaluation, monitoring, and debugging capabilities that help the team assess behavior and improve quality.
- Own the complete delivery cycle. Carry work through implementation, testing, rollout, and ongoing production performance.
The Environment
You’ll work directly with engineers, researchers, and product colleagues, connecting experimentation with the engineering discipline required to deliver dependable software. Expect evolving requirements, architectural decisions with lasting consequences, and ownership that continues after release.
The team works together in Palo Alto 5 days per week. Candidates considering a move are welcome, with relocation support available.
What You Bring to the Table
- Demonstrated product ownership: You have built software from scratch and can clearly explain what you personally designed, implemented, shipped, and improved.
- Deep Python backend experience: You have built and operated production services and understand the tradeoffs behind their architecture.
- Strong systems engineering: You can reason about concurrency, distributed execution, performance, reliability, and failures across interconnected components.
- Hands-on frontend capability: You can build React and TypeScript applications and carry a feature across the stack.
- Strong computer science fundamentals: You bring a rigorous foundation in algorithms, data structures, and systems, supported by an academic background in computer science or a related discipline.
- Evidence of technical impact: You have made substantial engineering contributions at respected technology companies, successful startups, or similarly demanding environments.
- Engineering judgment: You know when to prototype, when to invest in a durable foundation, and how to explain the consequences of those decisions.
Experience with AI/LLMs, tool integration, orchestration, or evaluation is especially relevant. Engineers with deep systems expertise who want to apply it to AI-powered products are also encouraged.
A Few Things Worth Knowing
- Base compensation: Approximately $150K–$250K+, depending on experience and level.
- Equity: Meaningful equity participation.
- Benefits: Full health, dental, and vision coverage; 401(k), HSA, and FSA plans; flexible PTO; in-office meals; and company-supported conferences and events.
- Location: Palo Alto, CA.
- Work model: 5 days per week onsite.
- Engagement: Full-time.
- Relocation: A relocation package is available for candidates moving to Palo Alto.
- Visa sponsorship: Available for the right candidate.