Platform Engineer
hace 3 días
City of London
💻 Job title: Senior Platform Engineer 💰 Salary: £100,000 – £135,000 📍 Location: London – Hybrid 🏢 Company: B2B SaaS scale-up (4th fastest scaling start-up in Europe, 2025) 👥 Team: 40 engineers today, scaling to 80 by end of year - platform team of 4 📈 Stage: High-growth, Series-level scale-up The company One of Europe's fastest-scaling B2B SaaS businesses, growing from 40 to 80 engineers this year. The platform team is small, senior, and foundational - they own the infrastructure patterns, shared services, and developer experience that the entire engineering org runs on. It's a build-it-own-it culture where platform sets the guardrails and trusts other teams to ship within them. The role This isn't an ops or babysitting role. You're a senior engineer who's moved into platform work and wants real ownership - building the infrastructure layer that 35+ engineers depend on every day, and shaping how AI tooling gets integrated into the platform from the ground up. 🫵 What you'll be doing: • Writing TypeScript across both application code and infrastructure as code (Pulumi - recently migrated from CDK), • Designing, building, and maintaining AWS serverless infrastructure patterns at scale, • Owning foundational services - SSO, authentication, notifications, and core shared services, • Integrating AI tooling into the platform infrastructure - greenfield, high-ownership work, • Driving observability and DevX improvements - internal tooling, developer workflows, reducing friction across the org, • Setting the patterns and guardrails that enable engineering autonomy across the business ✅ Must-haves: • Strong software engineering background with a shift into platform or infrastructure work, • Deep AWS knowledge - serverless in particular, • TypeScript fluency (application and IaC), • High-growth startup experience - you know what it means to scale fast, • B2B SaaS background preferred 👍 Bonus points for: • Experience with Pulumi or CDK, • Previous work on internal developer platforms or DevX tooling, • Exposure to AI/LLM infrastructure integration, • Observability tooling (Datadog, OpenTelemetry, etc.)