Job Description

Posted 2 days ago

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

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Designing and evolving AWS infrastructure (ECS Fargate, Lambda, Step Functions, EventBridge, S3, DynamoDB, Athena).

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Owning container orchestration, task definitions, networking, IAM roles, and VPC architecture.

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Strengthening infrastructure-as-code and CI/CD automation to ensure repeatable, stable deployments.

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Designing event-driven, distributed systems that scale cleanly under load.

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Building monitoring, alerting, logging, and observability systems (CloudWatch, metrics, tracing).

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Driving performance optimisation and cost efficiency across workloads.

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Embedding security principles, least-privilege IAM, and infrastructure resilience from day one.

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Experimenting with AI agents and automation tools to streamline infrastructure management and operational workflows.

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This is a hands-on engineering role — you’ll be building and running the systems, not delegating them.

What We’re Looking For

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Strong production experience operating AWS infrastructure at scale.

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Deep familiarity with ECS (or similar container orchestration), Lambda, Step Functions, S3, and EventBridge.

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Strong Docker and container-native deployment experience.

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Infrastructure-as-code (Terraform, CDK, or CloudFormation).

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Experience designing event-driven or distributed systems.

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Solid Python for automation, scripting, or data pipelines.

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Strong production engineering mindset — reliability, monitoring, debugging, scaling.

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Comfort owning infrastructure decisions and being accountable for production workloads.

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Curiosity about AI tooling and automation-driven engineering.

Why Join

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Own and shape the infrastructure foundation of a growing AI platform.

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Work on modern, event-driven AWS-native systems.

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Have direct architectural influence in a small, senior team.

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High-trust environment with real ownership.

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Build infrastructure that processes large-scale AI data in production