Software Engineer

• Designing and operating AWS infrastructure (ECS Fargate, Lambda, Step Functions, EventBridge, S3, Athena, DynamoDB)
• Building ETL/ELT pipelines that transform raw LLM outputs into analytics-ready data
• Orchestrating workflows and event-driven systems
• Managing containerized services with Docker and ECS
• Implementing CI/CD and infrastructure-as-code
• Setting up monitoring, alerting, and reliability practices
• Optimizing performance, cost, and scalability
• Baking in security and least-privilege access from day one
• Experimenting with AI tools and agents to automate workflows and improve productivity

Technologies:

• AI
• AWS
• Lambda
• CI/CD
• Cloud
• Docker
• ETL
• LLM
• Python
• Security
• Terraform
• DevOps
• Serverless

More:

We are a fast-growing AI startup building a cloud-native analytics platform that transforms large volumes of LLM output into structured, queryable intelligence for businesses. Our technological stack is fully on AWS and heavily event-driven, designed for scale. Were looking for a Software Engineer to take significant ownership of our cloud and data platform. This role offers real ownership of core infrastructure and architecture, a modern AWS stack, and a direct impact on our rapidly growing AI product. We offer a collaborative environment with a small, senior team based in London.

• Strong AWS experience (especially ECS, Lambda, Step Functions, S3, EventBridge)
• Solid Docker and container-native deployment experience
• Proficiency in Python for data processing and automation
• Experience building data pipelines and data lake architectures
• Familiarity with infrastructure-as-code (Terraform, CDK, or CloudFormation)
• CI/CD and production engineering mindset
• Systems thinking and comfort owning production workloads
• Curiosity about AI tools, LLMs, and automation