Requirements

3+ years of professional software engineering experience building and operating production backend, platform, or infrastructure systems
Readable, maintainable, well-tested code in Python, plus comfort with SQL and a working understanding of data modeling and warehousing concepts
Experience building and owning APIs, integrations, or automation in production, with sound judgment on service boundaries, authentication, data contracts, and failure modes
Hands-on with CI/CD, containers, and Kubernetes, observability, debugging, and incident response, and you expect to operate what you build
Hands-on experience using AI tools (LLMs, agentic workflows, AI-assisted development) as part of how you engineer, and judgment about where they help and where they do not
End-to-end ownership of ambiguous problems, clear communication with technical and non-technical teams, and comfort self-organizing in a fast-paced, distributed environment

Nice to Have

Experience owning or integrating with BI platforms such as Looker, Sigma, or comparable tools, and familiarity with semantic layers such as LookML or dbt
Experience automating identity and access through Okta, SCIM, or role-based access controls, or building multi-tenant platforms across brands and regions
Experience shipping LLM-backed features to real users (retrieval, grounding, and evaluation), or with MCP, agent frameworks, or tool-calling in production

Design, build, test, deploy, and operate the backend services, APIs, and automation that the BI platforms across DoorDash, Deliveroo, and Wolt depend on
Automate the platform lifecycle end to end (provisioning, metadata, permissions, migrations, archival, and validation) so administration stops being manual work
Build the integrations between BI platforms and the wider ecosystem: warehouses, identity providers, orchestration, CI/CD, and internal developer tooling
Improve the availability, observability, performance, scalability, and security of the systems you own, and carry them in production
Use AI tooling as part of how you engineer, and where it fits, build LLM-backed capabilities held to the same reliability and governance bar as anything else we ship
Raise the engineering bar on the team, from service design and code review to testing, CI/CD, and documentation, and improve the developer experience for everyone building on the platform

Solve meaningful problems at real scale
See your impact, fast. Ship, test, and improve ideas quickly in a low-hierarchy, high-ownership environment
Grow through challenge and ownership. Take on big, ambiguous problems and accelerate your career with strong support
A culture built for builders. High standards, collaboration, flexible working, and continuous learning