Platform Engineer

💫 Company | AI-native B2B SaaS 📈 Stage | Series B, ~£15m ARR 📏 Size | ~200 people, targeting ~300 by year end 🧢 Role | Platform Engineer 🎯 Areas | infrastructure, CI/CD, observability, DevEx ✨ Skills | AWS Serverless (Lambda, DynamoDB, Aurora), Pulumi, Datadog, TypeScript 📍 Based | London 💻 Hybrid | 3 days in-office 💰 Offer | £100k–£160k + equity Background Want to buy something at a large company? Get ready for a month-long manual process involving 50 emails through Finance, Legal, Security, and IT before anyone signs anything off. This company is fixing this problem. Their product's AI capabilities and workflow automation replaces fragmented systems, endless email threads, and outdated spreadsheets, with a best-in-class user experience. Their customers are global enterprises where this challenge costs real time and money, daily. Role The company is hiring a Platform Engineer to join the team responsible for the infrastructure, tooling, reliability, deployment systems, and developer experience that underpin the whole engineering organisation. The company deploys multiple times a day and is scaling fast, so platform work here has direct product and commercial impact. They're AWS-native from day one, with no legacy to untangle. Just open, greenfield problems to solve, and real room to shape the platform. You'll: Scale infrastructure : design and evolve AWS Serverless architecture (Lambda, DynamoDB, Aurora, EventBridge) for 10x growth, multi-region HA, and data residency Own CI/CD and deployment : pipelines (GitHub Actions), infrastructure-as-code (Pulumi), and release tooling Own observability : monitoring, alerting, and debugging across the stack (Datadog) Improve developer experience : build tooling, automate toil, remove friction Code & build : s hip production-ready TypeScript across infrastructure and product Reach out directly or apply here and I'll share more about the company and the role.