CXG

DataOps / MLOps Engineer – Strong DevOps Focus

CXG

contract

Posted on:

Location Type: Remote

Location: Morocco

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Tech Stack

AirflowApacheDockerKubernetesTerraform

About the role

  • Designs, builds, and operates highly reliable, secure, and scalable DataOps and MLOps platforms with strong engineering rigor.
  • Owns infrastructure, data, and ML production pipelines end to end, enforcing automation, testing, governance, and operational best practices.
  • Acts as the quality and reliability gatekeeper for all data and AI workloads.

Requirements

  • The ideal experience range for this role is **2 to 3 years**
  • Strong hands-on experience in **DataOps and MLOps** in production environments
  • Solid **DevOps engineering** background with an automation-first mindset
  • Experience with **Infrastructure as Code** using **Terraform**
  • Expertise in **CI/CD for data and ML pipelines**, including testing and versioning
  • Workflow orchestration using **Apache Airflow**
  • Containerization and orchestration with **Docker** and **Kubernetes** (AKS preferred)
  • Experience operating data platforms such as **Snowflake** and **dbt**
  • Knowledge of **ML lifecycle management** (deployment, monitoring, rollback, drift detection)
  • Experience with **access management, governance, and security** across data and AI systems
  • Strong focus on **monitoring, reliability, and operational best practices**
  • Detail-oriented with a structured and rigorous engineering approach
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
DataOpsMLOpsDevOps engineeringInfrastructure as CodeTerraformCI/CDApache AirflowDockerKubernetesSnowflake
Soft Skills
detail-orientedstructured approachrigorous engineeringautomation mindset