Senior Backend Engineer (Go)

Matrice AI; United States; A distancia; USD 130.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Equity

Descripción de la vacante

Matrice AI is seeking a backend engineer to design and operate Go-based services that power camera, model, dataset, inference, and analytics workflows. You will own services across their lifecycle, from API and data design to deployment and production operations, while helping establish technical standards for the team.

Responsibilities include building and operating Go services, creating event driven pipelines, defining REST and gRPC contracts with Protobuf, optimizing data models, and

Formación

• Three+ years of backend engineering experience, including Go in production.
• Strong distributed systems experience with message queues, caching, retries, idempotency, and backpressure.
• Experience designing REST and gRPC APIs with Protobuf.
• Experience with MongoDB or another production database, including indexes and query performance.
• Hands-on Docker and Kubernetes experience, plus experience with AWS, Azure, or GCP.
• Habit of writing tests and operating services, including monitoring metrics, alerts, and incidents; clear written communication for design documents.

Responsabilidades

• Build and operate Go services, taking work from API design through production support.
• Create event driven pipelines that reliably handle high volumes of inference results using messaging and caching systems.
• Define REST and gRPC service contracts with Protobuf for other teams to use.
• Design data models and improve database performance as systems grow.
• Add production readiness features such as health checks, metrics, tracing, graceful shutdown, and safe retry behavior.
• Deploy services to Kubernetes in cloud environments; contribute to design reviews, code quality, testing, and mentoring.

Conocimientos

Distributed systems

Testing

Monitoring

Backpressure

Retries & idempotency

Event-driven pipelines

REST APIs

gRPC APIs

Protobuf

Data modeling

MongoDB

Docker

Kubernetes

Cloud platforms (AWS/Azure/GCP)

Go (Golang)

Herramientas

Go (Golang)

MongoDB

Docker

Kubernetes

AWS/Azure/GCP

Protobuf

Descripción del empleo

Role overview

Design and operate backend services that support camera, model, dataset, inference, and analytics workflows. You will own services across their lifecycle, from API and data design to deployment and production operations, while helping establish technical standards for the team.

Responsibilities

• Build and operate Go services, taking work from API design through production support.
• Create event driven pipelines that reliably handle high volumes of inference results using messaging and caching systems.
• Define REST and gRPC service contracts with Protobuf for other teams to use.
• Design data models and improve database performance as systems grow.
• Add production readiness features such as health checks, metrics, tracing, graceful shutdown, and safe retry behavior.
• Deploy services to Kubernetes in cloud environments; contribute to design reviews, code quality, testing, and mentoring.

Requirements

• At least three years of backend engineering experience, including Go in production.
• Strong distributed systems experience, including message queues, caching, retries, idempotency, and backpressure.
• Experience designing REST and gRPC APIs with Protobuf.
• Experience with MongoDB or another production database, including indexes and query performance.
• Hands on Docker and Kubernetes experience, plus experience with AWS, Azure, or GCP.
• Habit of writing tests and operating services, including monitoring metrics, alerts, and incidents; clear written communication for design documents.

Nice to have

• Experience with video, streaming, or machine learning serving systems.

Benefits and work setup

The role is described as remote, with high ownership in a small team and equity offered.