Role Description We’re looking for a platform engineer to lead the architecture and evolution of our core runtime. This is not a typical backend role. You’ll define how untrusted AI agents execute safely, how systems scale under load, and how we meet security and compliance standards from first principles. You’ll work directly with the founder and own the platform end-to-end: from low-level runtime design to distributed scheduling to production reliability. What You’ll Own - Design and build our agent runtime infrastructure (Firecracker, Rust, Go) - Define and enforce security boundaries for running untrusted code - Lead SOC2 and compliance efforts from a systems perspective (not paperwork—actual guarantees) - Architect and implement scheduling and orchestration systems (Kubernetes-level problems, without blindly copying Kubernetes) - Own performance, isolation, and reliability at scale - Set technical direction and raise the bar for engineering across the company Qualifications - You’ve built and operated distributed systems or infrastructure at scale - Strong systems background (concurrency, isolation, networking, performance) - Experience with Go and/or Rust (or willingness to go deep quickly) - Deep intuition for security and reliability, not just features - You care about how things fail, not just how they work - You’ve taken systems from 0 → 1 or 1 → scale - You’re comfortable making high-stakes architectural decisions with incomplete information Bonus - Experience with Firecracker, microVMs, containers, or sandboxing - Experience with Kubernetes or building schedulers - Experience leading or owning SOC2 / compliance in infra-heavy environments Why This Role Matters AI agents are unreliable, unsafe, and hard to run in production today. We’re fixing that. This role is about building the foundation that makes intelligent systems actually usable in real-world environments—fast, secure, and dependable. If we get this right, a whole new category of software becomes possible. Working With Us - Small, high-ownership team - Work directly with the founder - Real technical authority and decision-making power - No layers, no committees—just building Bar for This Role This is a high-ownership, high-agency role. We’re looking for someone who wants to own a critical layer of the stack, not just contribute to it. California Pay Range $165,000 — $230,000 USD

• Contribute along with product and platform teams to build and deliver solutions that improve our cloud service, infrastructure, and tools. • Solve infrastructure problems with a software-driven, cloud first approach and a keen eye towards quality, testability, and repeatability. • Engage with teams directly to implement product roadmaps and objectives with a focus on service delivery and reliability. • Contribute to the development of best practices and engineering standards within the team. • Help Identify and drive down toil with creative innovation and automation. • Dedication to elegant and high-quality software. • This position will require stand-by, on-call, or off-hours duties

• Develop and evolve event-driven distributed systems • Participate in architectural decisions considering scalability, performance, and resilience • Implement solutions using Java, Spring Boot, Spring Batch and/or Quarkus • Apply engineering best practices such as Clean Architecture and SOLID principles • Work with messaging-based integrations (Kafka, SQS, RabbitMQ) • Ensure code quality through automated tests (unit and integration; BDD is a plus) • Contribute to data modeling and evolution (SQL and NoSQL) • Contribute to observability practices (logs, metrics, and tracing) • Perform code reviews and collaborate on the technical growth of the team • Work closely with product teams and stakeholders to deliver solutions

• Participate in agile team events (planning, sprint, retrospective, and review); • Participate in requirement understanding and refinement meetings; • Develop interfaces based on layouts provided by the Designer; • Implement rich, interactive user interfaces; • Ensure the quality of deliverables for clients; • Learn and become proficient with LumisXP; • Maintain legacy projects; • Propose code improvements and refactor implementations.