Platform engineer

Platform Engineer (AI Infrastructure) About the job Stealth AI Analytics Startup | London | Hybrid We’re hiring for a fast-growing AI startup building a cloud-native analytics platform that transforms large volumes of LLM output into structured, queryable intelligence. The system is fully AWS-native, heavily event-driven, and designed to process high volumes of AI-generated data reliably and cost-effectively. We’re looking for a Platform Engineer to own and evolve the infrastructure backbone that powers the entire platform. What You’ll Be Doing * Designing and evolving AWS infrastructure (ECS Fargate, Lambda, Step Functions, EventBridge, S3, DynamoDB, Athena). * Owning container orchestration, task definitions, networking, IAM roles, and VPC architecture. * Strengthening infrastructure-as-code and CI/CD automation to ensure repeatable, stable deployments. * Designing event-driven, distributed systems that scale cleanly under load. * Building monitoring, alerting, logging, and observability systems (CloudWatch, metrics, tracing). * Driving performance optimisation and cost efficiency across workloads. * Embedding security principles, least-privilege IAM, and infrastructure resilience from day one. * Experimenting with AI agents and automation tools to streamline infrastructure management and operational workflows. * This is a hands-on engineering role — you’ll be building and running the systems, not delegating them. What We’re Looking For * Strong production experience operating AWS infrastructure at scale. * Deep familiarity with ECS (or similar container orchestration), Lambda, Step Functions, S3, and EventBridge. * Strong Docker and container-native deployment experience. * Infrastructure-as-code (Terraform, CDK, or CloudFormation). * Experience designing event-driven or distributed systems. * Solid Python for automation, scripting, or data pipelines. * Strong production engineering mindset — reliability, monitoring, debugging, scaling. * Comfort owning infrastructure decisions and being accountable for production workloads. * Curiosity about AI tooling and automation-driven engineering. Why Join * Own and shape the infrastructure foundation of a growing AI platform. * Work on modern, event-driven AWS-native systems. * Have direct architectural influence in a small, senior team. * High-trust environment with real ownership. * Build infrastructure that processes large-scale AI data in production