Founding Platform Engineer

Atarusgroup — United Kingdom · Posted ~4 hours ago

Lead Onsite

Skills

Platform engineering Distributed systems Backend engineering Cloud infrastructure Security engineering AI/ML infrastructure Observability Distributed tracing Multi-tenant systems Event-driven architecture Streaming systems Audit systems Backend Cloud Security AI/ML Streaming

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Summary ✨ AI‑Generated

A founding platform engineering opportunity at an early-stage technology venture, combining distributed systems, backend services, cloud infrastructure, security, observability, and AI/ML infrastructure. You will build low-latency enforcement systems, secure multi-tenant services, tamper-evident audit capabilities, and event-driven infrastructure with substantial ownership.

Highlights

Foundational technical ownership, competitive compensation with equity and bonus, broad architectural responsibility, and the opportunity to shape infrastructure and security for advanced AI systems.

Description

🚀 Founding Platform Engineer – AI Security 📍 London – Onsite 💰 Competitive Salary + Founding Equity + Bonus We’re partnered with an early-stage AI Security company building infrastructure to secure the next generation of autonomous systems and AI agents. Already working with high-assurance AI companies and government customers, they’re now looking for a Platform Engineer to become one of the foundational technical hires and help build the infrastructure that allows organisations to deploy AI agents safely. This is a broad, high-ownership engineering role spanning distributed systems, backend engineering, cloud infrastructure, security and AI/ML infrastructure. What You’ll Build 👇 Low-latency enforcement systems that evaluate and control AI agent activityDistributed tracing and observability across agents, services, tools and model callsSecure, multi-tenant backend services and data infrastructureTamper-evident audit and evidence systemsEvent-driven and streaming infrastructure designed for reliability under loadSandboxed environments for security testing and evaluation workloadsModel-serving infrastructure, including containerised workloads and GPU inferenceCloud infrastructure, deployment pipelines and production security controls You’ll work directly with the founders and early customers, with real influence over architecture, engineering standards and product direction. What They’re Looking For 🧠 Strong backend, systems or infrastructure engineering experienceStrong Python experience preferredDistributed systems knowledge — latency, concurrency, retries, backpressure and failure handlingProduction observability and distributed tracing experienceStrong PostgreSQL and multi-tenant architecture knowledgeContainers, cloud infrastructure and CI/CDGood understanding of IAM, secrets management and infrastructure securitySomeone comfortable owning critical systems from design through to production Particularly Interesting ⚙️ Experience with any of the following would stand out: PostgreSQL / RLS • OpenTelemetry • GCP • Cloud Run • Kubernetes / Containers • Distributed Systems • MLOps • GPU Inference • Sandboxing • IAM • Security Infrastructure You don't need all of it — they're much more interested in evidence you've owned difficult production systems than someone who's collected every keyword like Pokémon cards. Why Join? 💡 Join early enough to have founding-level technical influenceBuild a systems engineering function rather than inherit oneWork on genuinely new infrastructure problems created by autonomous AI agentsReal customers and high-consequence AI deployments already using the technologyDirect access to founders with backgrounds across MIT, NASA, Microsoft, government and startupsMeaningful founding equity and a path into senior technical leadershipUK visa sponsorship available If you’re a strong Platform/Systems engineer who wants to work at the intersection of distributed systems, infrastructure, security and AI, this is a seriously interesting one.