System Architect Position

5 days ago

Amrāvati, Maharashtra, India beBeeBackend Full time US$ 1,20,000 - US$ 2,00,000
**Job Title:** Senior BackendWe are seeking a skilled Backend Engineer to join our team.The ideal candidate will have a strong understanding of data flows, infrastructure, and integration patterns, as well as proficiency with REST APIs, backend/frontend integration, and secrets hygiene.They will be responsible for designing, building, and maintaining backend components, APIs, and integrations, as well as helping to architect data flows across PostgreSQL, key-value stores, caches, and object storage.The successful candidate will also have experience with containerisation, serverless environments, CDNs, and WAFs, and a working knowledge of PII/PHI/GDPR handling in production systems.Additionally, they will have the ability to work independently and thrive on collaboration, with a strong analytical mindset and excellent communication skills.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 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

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