Backend Platform Engineer, Core BI & Automation

Woltglobal2

Greater London

On-site

GBP 90,000 - 130,000

Full time

14 days+

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Job summary

DoorDash is seeking a Software Engineer for the Core BI team to build and operate backend services, APIs and infrastructure powering Looker, Sigma and related BI platforms across the group. You will own problems from discovery to deployment, collaborate with data engineers, data scientists and product teams, and apply AI tooling while maintaining reliability and governance.

This hands‑on role emphasizes performance, security and developer experience, with opportunities to advance platform

Qualifications

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 modelling and warehousing concepts.
Experience building and owning APIs, integrations or automation in production, with sound judgement 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 judgement 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‑organising in a fast‑paced, distributed environment.

Responsibilities

Design, build, test, deploy and operate the backend services, APIs and automation powering the BI platforms across the group.
Automate the platform lifecycle end to end (provisioning, metadata, permissions, migrations, archival and validation).
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.