Principal ML/Systems Engineer

**Architect Track · Hands-on IC** ### The Role You are a senior individual contributor responsible for designing, building, and running large-scale backend and data systems. This role is about architecture, code, and production ownership - not people management. ### What You'll Do - Build and operate large-scale data pipelines and data lakes (real-time + batch) - Design and build high-throughput, low-latency backend systems at scale - Architect distributed systems that handle large volumes of data reliably - Own production reliability: uptime, failure modes, recovery, on-call readiness - Design secure APIs and services (auth, rate limits, isolation, abuse prevention) - Make clear architectural trade-offs across performance, cost, and complexity - Write and review critical-path code - Influence engineering quality through design docs and code reviews - Build systems that support AI / intelligent workloads as part of the platform ### What You Bring - Proven experience building backend systems in production at scale - Strong systems thinking: throughput, concurrency, failure handling - Hands-on experience with cloud infrastructure and distributed architectures - Ability to choose the most appropriate language or runtime for the problem at hand - Experience with datastores, queues, streams, and storage systems - Experience leading system migrations (monolith → services, data migrations, infra transitions) - Strong instincts around security, observability, and operability - Ability to use frontier models effectively to generate production code - Calm and effective during P0 / production incidents ### How We Work - We optimise for deep work and uninterrupted time - High ownership - you own it end to end - Decisions backed by code and production outcomes ### How to Apply Show systems you've built, scale you've handled, and problems you've owned. We care about what you built, not titles or years. ### About SocialMediaCheck SocialMediaCheck is the automated intelligence layer for modern safeguarding. We build large-scale, real-time systems used for safeguarding and risk detection. Our platforms operate under strict time, scale, and reliability constraints - where missing signals is not acceptable.