Senior Backend Engineer – AI Analytics Platform (Remote)

Hex Technologies

United States

Remote

USD 198,000 - 295,000

Full time

14 days+
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Benefits offered by this job

Equity
Health benefits
Flexible PTO

Job summary

Hex Technologies is seeking experienced backend-leaning product engineers to expand our AI analytics platform. You will work on complex workflows that increase capabilities, reach, and ergonomics of Hex’s agentic analytics platform, including APIs, MCP, and command-line interfaces.

Join a remote-first team building scalable, secure enterprise features. We expect 5+ years of backend or full-stack experience and familiarity with Postgres, Redis, Kubernetes, and AWS, with a market-competitive

Qualifications

  • 5+ years of backend or full-stack software engineering experience.
  • Experience building complex systems with intricate business logic.
  • Interest in agentic workflows across disparate systems and tools.
  • Experience in a remote-first team with strong communication.

Responsibilities

  • Build and extend Hex’s API and CLI for powerful, ergonomic workflows.
  • Design MCP server and client implementations to expand entry points.
  • Develop next-generation access control with RBAC and admin flows.
  • Own full-stack product changes end-to-end for enterprise features.
  • Propose and implement scalable systems in collaboration with the Hex team.

Skills

Backend
Full-stack
Distributed systems
Code reviews
Remote-friendly
Enterprise integrations
Communication in remote teams

Tools

PostgreSQL
Redis
Kubernetes
AWS
Express GraphQL

Job description

Hex Technologies is seeking experienced backend-leaning product engineers to expand our AI analytics platform. You will work on complex workflows that increase capabilities, reach, and ergonomics of Hex’s agentic analytics platform, including APIs, MCP, and command-line interfaces.

Join a remote-first team building scalable, secure enterprise features. We expect 5+ years of backend or full-stack experience and familiarity with Postgres, Redis, Kubernetes, and AWS, with a market-competitive

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