Remote Backend Engineer (Go) — APIs & ML Workflows

Matrice AI

United States

À distance

USD 120 000 - 180 000

Plein temps

Il y a 2 jours
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Résumé du poste

Matrice AI is seeking a backend engineer to build services for a platform that manages cameras, models, datasets, inference, and analytics. You will develop Go services, REST or gRPC APIs, and work with databases and messaging or caching systems to keep data moving reliably.

The role supports production health, testing, and integration with ML workflows, with mentorship from senior engineers in a remote, small-team setting.

Qualifications

  • Backend development experience in Go, or strong programming experience in another language and a clear interest in Go.
  • Understanding of REST APIs and experience with at least one database.
  • Comfort with Linux, Git, and Docker.
  • Curiosity, ownership, and clear communication.
  • A computer science or related degree, or equivalent practical experience; the role is open to varied experience levels.

Responsabilités

  • Develop and maintain Go services and REST or gRPC APIs.
  • Work with databases and messaging or caching systems to store and move platform data reliably.
  • Test new code and help maintain the health of services in production.
  • Connect machine learning inference results to backend workflows in collaboration with the ML team.
  • Contribute to design and code reviews and build familiarity with the platform.

Connaissances

Go
REST APIs
Databases
Linux
Git
Docker
Communication
Problem solving
CS degree or equivalent

Formation

Computer science or related degree, or equivalent practical experience

Outils

Docker
Git
Linux
Kafka
Kubernetes
MongoDB
gRPC

Description du poste

Matrice AI is seeking a backend engineer to build services for a platform that manages cameras, models, datasets, inference, and analytics. You will develop Go services, REST or gRPC APIs, and work with databases and messaging or caching systems to keep data moving reliably.

The role supports production health, testing, and integration with ML workflows, with mentorship from senior engineers in a remote, small-team setting.

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