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.

What You’ll Be Doing

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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