Senior ML DevOps Engineer - Remote

Overview

Join our mission to protect cross-border transactions, helping customers send money safely worldwide. As a Senior ML Infra DevOps Engineer in our Anti-Fraud & Compliance team, you'll architect high-performance systems that detect fraud and enforce regulatory compliance.

In Short

• Maintain and improve current cloud infrastructure (AWS and on-prem).
• Develop and implement a comprehensive MLOps strategy for seamless integration of machine learning models.
• Build internal tools or integrate existing solutions for versioning, model registry, CI/CD, and observability.
• Collaborate with cross-functional teams to manage scalable infrastructure for ML workloads.
• Own the full development lifecycle from design to incident response.
• Work closely with MLOps engineers, data scientists, and software engineers.
• Enhance fraud detection systems using machine learning.

Requirements

• 3-5+ years of professional experience in DevOps or a related field.
• Strong cloud infrastructure skills in AWS / GCP / Azure.
• Deep experience with Kubernetes, AWS CloudFormation, Terraform, and Docker.
• Knowledge of CI/CD pipelines using GitHub Actions, GitLab CI, Argo, Jenkins, etc.
• Experience with Prometheus, Grafana, OpenTelemetry, etc.
• Proficient in Python and Bash.
• Experience with SQL/NoSQL databases.
• Strong communication skills (English B2+).

Benefits

• Remote work flexibility – work from anywhere.
• B2B contract with competitive gross compensation in USD.
• Top-tier hardware to support your productivity.
• A challenging role in a skilled team.
• Continuous learning and career growth opportunities.
• Coverage for professional development: training, seminars, and conferences.
• Access to high-quality English lessons.