Senior DevOps Ml Infrastructure Engineer (AI)

TL;DR

Senior DevOps Ml Infrastructure Engineer (AI): Maintain and scale infrastructure while enabling seamless ML model integration into production workflows with an accent on Kubernetes orchestration, AWS services, and ML platform development. Focus on building automated MLOps pipelines, managing multi-cluster Kubernetes, and improving observability for secure global money transfers.

Location: Remote with offices in Tbilisi, Warsaw, and Chisinau

Company

hirify.global focuses on secure global money transfers using cutting-edge technology.

What you will do

• Manage Kubernetes orchestration platforms in AWS and on-premises clusters
• Maintain Apache Flink infrastructure and support production workflows
• Handle incident response, on-call rotations, and security patching
• Collaborate on building and maintaining ML infrastructure and pipelines
• Set up MLflow for experiment tracking and model registry
• Improve observability using Prometheus, Grafana, and Splunk

Requirements

• English: B2+ proficiency required
• Work format: Remote
• 3-5+ years experience in DevOps or infrastructure engineering
• Strong hands-on experience with AWS services and Kubernetes
• Proficiency with infrastructure as code tools like CloudFormation and CDK
• Experience with containerization, CI/CD pipelines, and observability tools

Nice to have

• Experience with Apache Flink, Kafka, or stream processing frameworks
• Understanding of ML lifecycle and feature stores
• Knowledge of fintech, fraud prevention, or compliance domains

Culture & Benefits

• Remote work flexibility from anywhere
• B2B contract with competitive gross compensation in USD
• Top-tier hardware and continuous learning opportunities
• Direct collaboration with Senior MLOps Architect
• Professional development coverage including training and conferences
• Access to high-quality English lessons