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Data Architecture Specialist
2 weeks ago
We are looking for a skilled Backend Engineer to join our team. The ideal candidate will have a strong grasp of data flows, infrastructure, and integration patterns.
The successful candidate will be responsible for designing, building, and maintaining backend components, APIs, and integrations. They will work on the backbone of our platform: APIs, data pipelines, integrations, and infrastructure that power our consumer and partner experiences.
Key Responsibilities:
- Design, build, and maintain backend components, APIs, and integrations
- Help architect data flows across PostgreSQL, key-value stores, caches, and object storage
- Implement secure authentication/authorisation (Auth0, OAuth2, OIDC, JWT)
- Support search/vector search/ranking and external API integrations (OpenAI, Azure, etc.)
- Set up monitoring and observability (OpenTelemetry, dashboards, SLOs)
- Remain aware of and build for data regulations (GDPR and others)
- Containerise solutions for scalability and compute flexibility (Docker/K8s/serverless, CDNs/WAFs)
- Write adapters, contract tests, and manage schema diffs for evolving systems
- Collaborate across teams - tech and non-tech - find gaps, ask questions, and make suggestions
- Help design and implement the RightScore algorithm, combining ingredient databases, human behaviour patterns, and ethical/product metadata into transparent scoring
- Build and optimise logic layers, ranking systems, and cross-referencing pipelines that feed into consumer-facing products
- Work with vector search, embeddings, and retrieval-augmented generation (RAG) for product intelligence
- Support the development of AI-powered interfaces (chat and recommendation layers) by shaping the backend that feeds them
- Collaborate with product and science leads to translate wellness logic into robust, explainable models
Requirements:
- 5+ years of experience in backend engineering and system architecture
- Strong grasp of data flows, infrastructure, and integration patterns
- Proficiency with REST APIs, backend/frontend integration, and secrets hygiene
- Can handle PostgreSQL, caching, object storage, and streaming systems
- Experience with containerisation, serverless environments, CDNs, and WAFs
- Familiarity with hybrid/vector search and ranking approaches
- Working knowledge of PII/PHI/GDPR handling in production systems
- Experience with data modelling, ML pipelines, or applied machine learning in production systems
- Understanding of ranking, scoring, or recommendation systems is a plus
- Familiarity with LLM integrations, embeddings, or search-driven AI is desirable
- Analytical thinker who can work independently and thrives on collaboration
- Curiosity and courage to ask why, not just how
- Clear English communication, written and verbal
- Be able to work across time zones with UK
Why Work with Us?
- Be part of a mission-driven team redefining consumer wellness
- Build with pragmatic application of leading-edge AI and search technologies
- Help design and shape backend systems from the ground up
