Backend Systems Developer

2 hours ago

Cochin, Kerala, India beBeeBackend Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Description

We are seeking a skilled Backend Developer to shape the architecture, challenge assumptions, and propose alternative ways of doing things.

This role involves designing, building, and maintaining backend components, APIs, and integrations that power our consumer and partner experiences.

The ideal candidate will have a strong grasp of data flows, infrastructure, and integration patterns. They will be proficient with REST APIs, backend/frontend integration, and secrets hygiene, as well as handling PostgreSQL, caching, object storage, and streaming systems.

Experience with containerisation, serverless environments, CDNs, and WAFs is also desired. The candidate should be able to work independently and thrive on collaboration, with clear English communication skills.

Required Skills and Qualifications
  • 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.
Benefits

The successful candidate will help design and shape backend systems from the ground up, using pragmatic application of leading-edge AI and search technologies.

They will work across teams, find gaps, ask questions, and make suggestions to drive business outcomes.

Additionally, they will contribute to the development of AI-powered interfaces (chat and recommendation layers) by shaping the backend that feeds them.

Others

They will work with vector search, embeddings, and retrieval-augmented generation (RAG) for product intelligence.

Also, they will collaborate with product and science leads to translate wellness logic into robust, explainable models.

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