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).
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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
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