Generix Group

Senior DevOps Engineer (Porto)

Generix Group
Apply
2 months ago
Porto, PortugalSenior

Responsibilities

  • Design, build, and maintain CI/CD pipelines for software applications, data transformations, and machine-learning models.
  • Implement and manage Infrastructure as Code using Terraform across cloud or on-premise environments.
  • Develop automated data-quality checks, data-pipeline monitoring, and alerting systems.
  • Establish MLOps workflows for experiment tracking, model versioning, automated retraining, and performance monitoring.
  • Implement monitoring, logging, and alerting across applications, data flows, machine-learning models, and infrastructure.
  • Collaborate with software developers, data engineers, data scientists, and analysts to provide operational support and tooling.
  • Promote security, reliability, performance, and operational best practices across DevOps, DataOps, and MLOps.
  • Troubleshoot infrastructure, pipeline, and deployment issues and evaluate new tools to improve operational efficiency.

Requirements

  • Deep expertise in DevOps, DataOps, and MLOps principles, practices, and tooling.
  • Strong proficiency in CI/CD pipeline design, cloud infrastructure management, and automation, primarily with Azure.
  • Expertise with Docker, Kubernetes, monitoring and observability tools, and Infrastructure as Code.
  • Strong scripting and automation skills with Python, Bash, or similar technologies.
  • Understanding of data engineering concepts, data-pipeline orchestration, and machine-learning model lifecycle management.
  • Bachelor’s or master’s degree in computer science, engineering, or a related field.
  • At least 5 years of experience in technical operations roles, including hands-on DevOps, DataOps, and MLOps implementation.
  • Experience with Azure or other cloud platforms, Docker, Kubernetes, Jenkins, GitLab CI, ArgoCD, Terraform, Python, Bash, Airflow, MLflow, Kubeflow, SageMaker, or Vertex AI.
  • Fluent English or French.

Benefits

  • Attractive compensation package.
  • Excellent work conditions and environment.
  • Inclusive workplace committed to diversity and equity, with positions open to people with disabilities.

Tech Stack

Apache AirflowAWSAzureBashDatadogDockerGitLab CI/CDGrafanaJenkinsKubernetesMLflowPrometheusPythonTerraform

Categories

Generix Group

About Generix Group

1,001-5,000 employees
Contact me