Summary
✨ AI‑Generated
A fast-growing technology organization is hiring a Platform Engineer to build reliable infrastructure, improve deployment systems, enhance observability, and enable engineering teams through modern cloud practices.
Highlights
Competitive compensation with equity, hybrid flexibility, and the chance to build infrastructure and developer experience for a fast-growing technology environment.
Description
💫 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Their product's AI capabilities and workflow automation replaces fragmented systems, endless email threads, and outdated spreadsheets, with a best-in-class user experience.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 residencyOwn CI/CD and deployment: pipelines (GitHub Actions), infrastructure-as-code (Pulumi), and release toolingOwn observability: monitoring, alerting, and debugging across the stack (Datadog)Improve developer experience: build tooling, automate toil, remove frictionCode & build: ship production-ready TypeScript across infrastructure and product
Reach out directly or apply here and I'll share more about the company and the role.
