
Backend System Architect
5 days ago
We're seeking an experienced Backend Engineer to build the backbone of our transparent wellness platform.
The ideal candidate will have a systems thinker mindset, understanding how and why data flows, where bottlenecks occur, and how to build reliable solutions.
This role requires more than just coding what's asked. We need someone who can shape the architecture, challenge assumptions, and propose alternative ways of doing things.
You'll be working on APIs, data pipelines, integrations, and infrastructure that power our consumer and partner experiences.
Expect variety - flexibility and creativity are winning attributes. Some days it's search and vector ranking, other days it's tuning dashboards and securing PII.
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.
- 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.
Our team offers a dynamic and collaborative environment where you can grow professionally and personally. With us, you'll have the opportunity to work on diverse projects, develop new skills, and contribute to shaping the future of our platform.
As a valued member of our team, you'll enjoy a competitive compensation package, comprehensive benefits, and opportunities for professional growth and development.
Join us and be part of a team that values innovation, teamwork, and continuous learning.
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