Remote ML Services Backend Engineer (Kubernetes & APIs)

Enfint; United States; Remote; USD 104,000 - 150,000; Full time

Job summary

RED Global is seeking an experienced backend/ML-infra engineer to productionise ML prototypes into scalable services running on Kubernetes. You will build APIs for real-time and batch ML inference, manage GPU workloads, and ensure reliability and monitoring at scale.

The role requires strong Java/Kotlin/Scala and Python skills, hands-on Kubernetes and Docker, and deep AWS exposure (IAM, S3, CI/CD). Fully remote within the EU for a 12-month contract.

Qualifications

• Strong experience with Java, Kotlin, or Scala and Python.
• Hands-on experience with Kubernetes, Docker, and Infrastructure as Code.
• Experience building and operating production HTTP APIs.
• Strong AWS experience, including IAM, S3, and CI/CD.
• Experience debugging live production systems.

Responsibilities

• Productionise ML prototypes and deploy scalable services on Kubernetes.
• Build and operate APIs for real-time and batch ML inference.
• Manage GPU inference workloads, autoscaling, and performance.
• Own service reliability, latency, load testing, and production incidents.
• Build and maintain data pipelines and production monitoring.
• Work with Applied Scientists to productionise new ML capabilities.

Skills

Java

Kotlin

Scala

Python

Tools

Kubernetes

Docker

Infrastructure as Code

Job description

RED Global is seeking an experienced backend/ML-infra engineer to productionise ML prototypes into scalable services running on Kubernetes. You will build APIs for real-time and batch ML inference, manage GPU workloads, and ensure reliability and monitoring at scale.

The role requires strong Java/Kotlin/Scala and Python skills, hands-on Kubernetes and Docker, and deep AWS exposure (IAM, S3, CI/CD). Fully remote within the EU for a 12-month contract.