Platform engineer

Location: Paddington

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, Event Bridge, S3, Dynamo

DB, 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 (Cloud Watch, 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 Event Bridge.

* Strong Docker and container-native deployment experience.

* Infrastructure-as-code (Terraform, CDK, or Cloud Formation).

* 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