Stealth AI 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 for businesses and brands. The platform is fully AWS-native, heavily event-driven, and built for scale from day one. The team actively uses AI agents and automation across both engineering and product workflows, not as a gimmick, but as a core operating principle. We’re looking for a Senior Software Engineer to help shape, build, and run the core cloud and data foundation of the platform. What You’ll Be Doing \* 4+ years of experience \* You’ll take ownership of significant parts of the cloud and data layer, including: \* Designing and operating AWS infrastructure (ECS Fargate, Lambda, Step Functions, EventBridge, S3, Athena, DynamoDB) \* Building robust ETL / ELT pipelines that transform raw LLM outputs into structured, analytics-ready datasets \* Designing event-driven workflows and distributed processing systems \* Managing containerised services using Docker and ECS \* Implementing CI/CD pipelines and infrastructure-as-code practices \* Establishing monitoring, alerting, and reliability standards across production workloads \* Optimising system performance, cost efficiency, and scalability \* Embedding security, IAM design, and least-privilege principles from the ground up \* Actively leveraging AI agents and automation tools to improve engineering workflows and system design \* This is a hands-on role. You’ll be designing, building, debugging, and shipping. Not just overseeing. What We’re Looking For \* Strong production experience with AWS (especially ECS, Lambda, Step Functions, S3, EventBridge) \* Solid Docker and container-native deployment experience \* Python for data processing, automation, or backend services \* Experience building and maintaining data pipelines or data lake architectures \* Infrastructure-as-code (Terraform, CDK, or CloudFormation) \* CI/CD and production engineering mindset \* Comfort owning distributed systems and running real workloads in production \* Genuine curiosity about AI tools, LLM APIs, and automation-driven engineering Why Join \* Real ownership of core cloud and data architecture \* Work at the intersection of cloud infrastructure, data engineering, and applied AI \* Modern AWS-native, event-driven system with meaningful scale \* Small, senior team operating in a high-trust, low-bureaucracy environment \* Direct impact on a fast-growing AI product