Salary: £60,000 - 70,000 per year Requirements: 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 Responsibilities: 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 — youll be building and running the systems, not delegating them Technologies: AI AWS Lambda CI/CD Cloud CloudWatch Docker IAM LLM Python Security Terraform Backbone More: We are a fast-growing AI startup based in London, building a cloud-native analytics platform that transforms large volumes of LLM output into structured, queryable intelligence. Our system is fully AWS-native and designed for high volumes of AI-generated data. By joining us, you will have the opportunity to own and shape the infrastructure foundation of our growing AI platform, work on modern, event-driven AWS-native systems, and have direct architectural influence in a small, senior team within a high-trust environment. last updated 7 week of 2026