DevOps Engineer - Data Engineering and MLOps - Remote

Overview

The DevOps Group at iCapital is critical for ensuring smooth, reliable software delivery, specializing in Data Engineering projects and MLOps.

In Short

• Design, implement, and maintain CI/CD pipelines for machine learning models.
• Collaborate with the Data team for seamless integration of ML models.
• Monitor and optimize the performance of ML models in production.
• Write and update self-service tools for developers.
• Stay current with industry trends to drive innovation.

Requirements

• 6+ years of DevOps experience with at least 4 years of AWS experience.
• Strong knowledge of CI/CD tools (Gitlab, ArgoCD, Artifactory).
• GitLab pipeline experience is a plus.
• Must have microservices experience (Docker, Kubernetes) in production.
• Strong Linux OS-level and scripting knowledge.
• Able to code in Python or Ruby.
• Good knowledge of IaC tools like Terraform is desired.
• Strong problem-solving skills and attention to detail.
• Good communication skills.
• A desire to share, teach, and learn as part of a team.

Benefits

• Competitive salary and annual performance bonus.
• Equity for all full-time employees.
• 100% employer-paid health and dental insurance.
• Generous paid time off (PTO).