Cloud Engineer

18 hours ago

Lahore, Punjab, Pakistan beBeeDevops Full time 800,000 - 1,200,000

We are seeking a highly skilled Cloud Engineer to join our growing team. As a Lead DevOps / MLOps Engineer, you will be responsible for designing, implementing and managing CI/CD pipelines using tools such as Jenkins, GitHub Actions or Azure DevOps.

Key Responsibilities:
  • CICD Pipeline Management: Design, implement and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions or Azure DevOps.
  • Infrastructure-as-Code: Develop and maintain Infrastructure-as-Code using Terraform.
  • Container Orchestration: Manage container orchestration environments using Kubernetes.
  • Cloud Optimization: Ensure cloud infrastructure is optimized, secure and monitored effectively.
  • MLOps Support: Collaborate with data science teams to support ML model deployment and operationalization.
  • MLOps Best Practices: Implement MLOps best practices, including model versioning, deployment strategies (e.g., blue-green), monitoring (data drift, concept drift), and experiment tracking (e.g., MLflow).
  • Automated ML Pipelines: Build and maintain automated ML pipelines to streamline model lifecycle management.
Required Skills:
  • Experience: 3–7 years of experience in DevOps and/or MLOps roles.
  • CI/CD Tools: Proficient in CI/CD tools: Jenkins, GitHub Actions, Azure DevOps.
  • Terraform Expertise: Strong expertise in Terraform and cloud-native infrastructure (AWS preferred).
  • Kubernetes Experience: Hands-on experience with Kubernetes, Docker, and microservices.
  • Scripting Proficiency: Solid understanding of cloud networking, security, and monitoring; scripting proficiency in Bash and Python.
Preferred Skills:
  • MLflow Knowledge: Experience with MLflow, TFX, Kubeflow, or SageMaker Pipelines.
  • Model Performance Monitoring: Knowledge of model performance monitoring and ML system reliability.
  • AWS MLOps Stack: Familiarity with AWS MLOps stack or equivalent tools on Azure/GCP.

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