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About the Role
This is a rare opportunity to join a seed-stage AI infrastructure company as a Founding Engineer - one of the earliest technical hires working directly alongside the founders. You'll help build a novel infrastructure product that serves as the backbone for next-generation AI applications: coding assistants, agent orchestration systems, and beyond.You'll have a direct hand in shaping the company's technical direction, architecture decisions, and culture. If you're motivated by deep ownership, fast learning, and building systems that matter at scale, this role is for you.What You'll DoDesign and build core backend services in Go (Golang) that handle high-traffic, low-latency workloads at scaleArchitect and evolve a pragmatic microservices platform running on Kubernetes - and redefine the stack as needs growBuild and maintain high-quality API platforms with a focus on reliability, performance, and developer experienceImplement and optimise distributed caching and database layers (SQL, NoSQL, distributed caches)Profile and tune systems for performance under production-scale, high-traffic conditionsContribute to auxiliary and ML/AI services in Python where neededWork closely with founders to influence product direction and technical roadmap
What We're Looking For
Required:5+ years of experience building backend services in a compiled language - Go (Golang) strongly preferredProven experience with distributed systems design and scalabilityStrong expertise in databases and caching systems (SQL/NoSQL and caching layers); ability to select and apply the right tool for the jobKubernetes expertise in production environmentsExperience building or designing API platforms with a strong focus on quality and designExperience with performance profiling and optimisation for high-traffic systemsBackground in early-stage startups or greenfield/founding-engineer-type projectsAbility to design both scalable and pragmatic architectures appropriate to the product stageDeep understanding of concurrency and when/
How to Apply
itStrong grasp of tradeoffs between quality, speed, and completeness - you know that "minimal" ≠ "broken"Self-starter who learns new technologies independently and proactivelyNice to Have:Familiarity with LLM ecosystems, AI gateway concepts, or ML/AI service infrastructureExperience at high-calibre engineering organisations (e.g. large cloud providers, enterprise software companies)Ambitions to found your own startup someday - we love that energyTech StackCore services: Go (Golang)Auxiliary/ML services: PythonInfrastructure: Kubernetes (microservices architecture)Data: SQL databases + distributed cachesExpect this list to evolve - you'll likely be the one driving those changes.Compensation &
Benefits
Generous total compensation packageSignificant equity stake - meaningful ownership from day oneLocationOn-site in London, United KingdomVisa sponsorship is not available - candidates must have the right to work in the UKFind Jobs in Germany on Arbeitnow
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