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CodeandtheoryTechnology

Lead Integration Engineer, Microsoft Ecosystem (India)

Bengaluruonsitesenior

via Greenhouse

About this role

This role is responsible for architecting the deep tissue connectivity required for our RAG (Retrieval-Augmented Generation) services to securely and efficiently traverse complex enterprise data landscapes. The scope of work encompasses a multi-layered integration strategy: managing System-level data flows (storage and back-end), Service-level orchestration (logic and APIs), and UI-level integrations (extending the user experience within Microsoft platforms). WHAT YOU'LL DO Design end-to-end data movement strategies between Microsoft Cloud storage and internal vector databases, selecting optimal patterns (Webhooks vs. Delta Queries) based on latency and rate-limiting constraints…

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What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, c#, fastapi, azure, teams…

2

Level fit

This role is senior-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Bengaluru. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonc#fastapiazureteamsoidcsaml

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