Senior Risk Engineer

Beltic is building the trust layer for the next generation of AI agents.

As AI agents increasingly act on behalf of humans, businesses need a reliable way to verify who is behind an agent, what permissions it has, and whether it can be trusted. Our mission is to create the identity infrastructure that enables organizations to safely interact with autonomous agents.

This is an opportunity to join at an early stage and work directly with company leadership to define and build a completely new product category.

🤓 As a Senior Risk Engineer, Beltic expects you to...

• Design, build, and own Beltic's real-time risk decisioning engine, responsible for determining whether AI agent actions should be authorized or denied.

• Develop ultra-low-latency services capable of making reliable decisions within a sub-50ms p99 latency target.

• Architect scalable, high-performance decisioning infrastructure that supports increasing transaction volumes and complex authorization requirements.

• Build flexible rules and policy evaluation mechanisms to support different customer risk requirements.

• Establish monitoring, observability, and performance optimization practices for critical decisioning services.

• Design appropriate failure-handling strategies that balance security, reliability, and customer experience.

• Ensure decisions are traceable, auditable, and explainable.

• Collaborate closely with engineering, sales, and customers to translate real-world risk scenarios into reliable technical solutions.

• Take full ownership of technical decisions and help establish the foundations for Beltic's future risk engineering team.

✨ You're the person they're looking for if you have...

• Strong experience as a Senior or Staff Software Engineer, with a focus on backend engineering and high-performance systems.

• Proven experience designing and building ultra-low-latency decisioning systems in production.

• Experience building and optimizing systems with strict latency requirements, ideally achieving sub-50ms at p99.

• End-to-end ownership of production decisioning services, from architecture and implementation to deployment, monitoring, and optimization.

• Strong knowledge of distributed systems, real-time processing, and performance optimization.

• Experience designing systems that make automated allow/deny decisions under strict performance constraints.

• Understanding of system reliability, failure handling, and the trade-offs between false positives, risk exposure, and customer friction.

• Ability to independently own complex technical challenges in a fast-moving startup environment.

💜 They'll love your profile even more if you have...

• Experience in fraud prevention, payments risk, transaction monitoring, or abuse detection.

• Background at companies such as Stripe, Sardine, Adyen, Ramp, Brex, Plaid, Coinbase, Sift, or similar.

• Experience building real-time bidding or decisioning systems in ad-tech or other ultra-low-latency environments.

• Experience designing and implementing rules engines, policy engines, or risk-scoring infrastructure.

• Previous experience as an early engineer at a startup, particularly building systems from zero.

• Familiarity with AWS and TypeScript.

• Experience working directly with customers to understand requirements and translate them into technical solutions.

• Interest in AI agents, identity infrastructure, and emerging security challenges.