Senior Backend Engineer — AI-Driven CRM & Data Architecture

Devconnectplatform

United States

Remote

USD 140,000 - 210,000

Full time

2 days ago
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Job summary

Close is seeking a senior software engineer to redesign the core CRM data model, enabling flexible relationships between leads, contacts, opportunities, and custom objects. You’ll shape how data is stored, retrieved, and exposed to agents across the MCP foundation, surface powerful search, and ensure reliability at scale.

You’ll also drive AI-native features, data cleaning, and AI search capabilities, while preserving fast performance for busy sales workflows.

Qualifications

  • Experience designing and migrating complex data models for scalable CRM-like systems (≤140 chars)
  • Experience with search indexing, relevance, and large-scale data retrieval (≤140 chars)
  • Proficient in building reliable, fast backends and modern APIs (≤140 chars)

Responsibilities

  • Rearchitect the core CRM data model to support flexible, customer-specific representations (≤140 chars)
  • Make the platform usable by agents via MCP foundation and robust search endpoints (≤140 chars)
  • Ship AI-native CRM features with scalable data cleaning and AI search capabilities (≤140 chars)
  • Keep hot paths fast for lead, deal, and pipeline operations (≤140 chars)

Skills

Seasoned engineer
Python
Go
Rust
TypeScript
Architectural design
Data modeling
Search systems
Elasticsearch
AI/ML in production
AI tooling
Performance optimization
Team collaboration
Incident response

Tools

Elasticsearch
MongoDB
PostgreSQL
Redis
TaskTiger
Flask
FastAPI
Python
Terraform
Ansible

Job description

Close is seeking a senior software engineer to redesign the core CRM data model, enabling flexible relationships between leads, contacts, opportunities, and custom objects. You’ll shape how data is stored, retrieved, and exposed to agents across the MCP foundation, surface powerful search, and ensure reliability at scale.

You’ll also drive AI-native features, data cleaning, and AI search capabilities, while preserving fast performance for busy sales workflows.

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