Software Engineer, Backend (BI Platform)

Deliveroo

Contract type

Ongoing

Work mode

100% remote

Experience

Mid-level · 3+ years

Job description

Design, build, test, deploy and operate backend services, APIs and automation that BI platforms across DoorDash, Deliveroo and Wolt depend on
Automate the platform lifecycle end to end (provisioning, metadata, permissions, migrations, archival and validation)
Build integrations between BI platforms and the wider ecosystem: warehouses, identity providers, orchestration, CI/CD and internal developer tooling
Improve availability, observability, performance, scalability and security of owned systems, and carry them in production
Use AI tooling as part of engineering, and build LLM-backed capabilities held to the same reliability and governance bar
Raise the engineering bar on the team, from service design and code review to testing, CI/CD and documentation, and improve developer experience
Company mission
Information not specified

Core technologies

Python (Programming Language)SQLKubernetesDockerAWS

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
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
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
Python, SQL, Kubernetes, Docker, AWS, LLMs, AI Agents, OpenAI
Python (Programming Language)
SQL
Kubernetes
Docker
AWS