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