Senior Software Engineer

Senior Software Engineer

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.

• 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, Event Bridge, S3, Athena, Dynamo
  
  DB)
• 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.

• Strong production experience with AWS (especially ECS, Lambda, Step Functions, S3, Event Bridge)
• 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 Cloud Formation)
• 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

• 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