Senior MLOps Engineer for CI/CD Pipeline Setup Delivery

CoreData Systems

Contract · Remote · Flexible hours

About the role

CoreData Systems is revamping its legacy data‑processing pipeline, codenamed PulseSync, to achieve zero‑downtime releases. As a Senior MLOps Engineer you will drive the migration of on‑prem services to a cloud‑native, containerized architecture while preserving continuous model serving.

Key responsibilities

• Design and implement a blue‑green deployment strategy using Argo Rollouts for the PulseSync service.
• Migrate existing TensorFlow serving jobs to AWS SageMaker endpoints with automated canary testing.
• Build CI/CD pipelines in GitHub Actions that lint, test, containerize, and deploy ML artifacts to EKS.
• Configure Prometheus‑Grafana monitoring dashboards to track latency and error budgets during rollouts.
• Write Terraform modules for repeatable infrastructure provisioning across dev, staging, and prod.
• Document runbooks for rollback procedures and post‑deployment validation.

Must-have skills

• Advanced Python scripting for data pipelines and automation.
• Deep experience with Docker and Kubernetes (EKS) in production.
• Proficiency in AWS services: SageMaker, CloudWatch, IAM.
• Strong DevOps mindset with CI/CD tools (GitHub Actions, Argo CD).
• Knowledge of ML model lifecycle management and monitoring.

Nice to have

• Familiarity with MLflow or DVC for model versioning.
• Experience implementing zero‑downtime strategies in high‑traffic environments.