System Architect Engineer

6 days ago

Aurangabad, Maharashtra, India beBeeBackend Full time ₹ 90,00,000 - ₹ 1,20,00,000
Job Opportunity

Are you a skilled backend engineer with a systems thinking mindset? We're looking for someone who understands data flows, bottlenecks, and how to build reliable solutions.

You'll be working on the backbone of our platform: APIs, data pipelines, integrations, and infrastructure that power consumer and partner experiences. Expect variety - flexibility and creativity are winning attributes.

Key Responsibilities:
  • Design, build, and maintain backend components, APIs, and integrations.
  • Help architect data flows across databases, caches, and object storage.
  • Implement secure authentication/authorisation (OAuth2, OIDC, JWT).
  • Support search/vector search/ranking and external API integrations.
  • 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).
  • 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.
  • 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.
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 databases, caching, object storage, and streaming systems.
  • Experience with containerisation, serverless environments, and cloud platforms.
  • 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.
  • Be an analytical thinker who can work independently and thrive 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-based teams

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