• Own the Domain: Take end-to-end technical ownership of the Policy Engine and Governance domain, driving the architecture, design, and implementation from 0 to 1 and beyond.
• Bridge High-Level & Low-Level: Navigate seamlessly between designing highly available, modern microservices and writing/maintaining performance-critical, low-level C++ code when the system demands it.
• Build for Scale: Implement robust backend applications to process complex rule evaluations at scale and with minimal latency.
• Collaborate & Lead: Act as a technical leader within the team, collaborating closely with Product, and other engineering teams to translate complex enterprise governance requirements into scalable technical solutions.
• Maintain Excellence: Ensure the robustness and maintainability of our services, taking part in incident response, on-call rotations, and operational excellence.
• Leverage AI: Utilize modern AI tools and agents to accelerate development workflows, while applying critical judgment to validate AI-generated output in complex or high-stakes contexts.

Must-Have:

• 8+ years of backend engineering experience building large-scale, high-volume distributed systems or SaaS platforms.
• Polyglot & Systems Depth: Strong proficiency in modern backend languages (e.g., Go, TypeScript, Python, or Java) combined with hands-on experience and a willingness to touch low-level C++ code.
• Architectural Mastery: Deep understanding of system design, microservices architecture, concurrency, and distributed SQL databases.
• Builder's Mentality: A proven track record of taking deep ownership of a complex product domain, acting as a technical anchor, and pushing projects forward independently.
• AI Tooling Experience: Hands-on experience working with AI development tools (Claude Code, Cursor, etc.) and the critical engineering judgment to know when to trust and when to override them.
• Infrastructure Knowledge: Experience working with cloud and backend technologies (e.g., Docker, Kubernetes, AWS, DataDog).

Strong Advantage:

• Security Mindset: A background in cyber-security, adversarial thinking, or experience working in highly security-sensitive environments.
• Governance Expertise: Experience building Policy Engines, Rule Engines, Identity and Access Management (IAM) systems, or authorization frameworks.
• Blockchain Knowledge: Familiarity with the blockchain ecosystem, smart contracts, or digital assets.