MLOps Platform - GCP Cloud Engineering

**Job Summary:**

We are seeking a talented Google Cloud Engineer with 3 to 7 years of experience to join our team. The ideal candidate will have a strong background in Google Cloud Platform (GCP), DevOps practices, MLOps, and Kubernetes. This role involves designing, implementing, and maintaining scalable cloud infrastructure, automating workflows, and supporting machine learning operations.

**Key Responsibilities:**

- **Google Cloud Platform (GCP) Management:**
- Design, deploy, and manage GCP services including Compute Engine, Cloud Storage, BigQuery, and Cloud SQL.
- Optimize cloud infrastructure for performance, security, and cost-efficiency.

- **DevOps:**
- Implement CI/CD pipelines using tools such as Jenkins, GitLab CI, or Google Cloud Build.
- Automate infrastructure provisioning and application deployment using Infrastructure as Code (IaC) tools like Terraform or Google Cloud Deployment Manager.
- Monitor system performance and troubleshoot issues to ensure high availability and reliability.

- **MLOps:**
- Support the deployment, scaling, and management of machine learning models on GCP.
- Work with data scientists to operationalize machine learning workflows and integrate them into production environments.
- Implement monitoring and logging solutions for machine learning models to ensure they perform optimally.

- **Kubernetes:**
- Manage and orchestrate containerized applications using Kubernetes.
- Deploy, scale, and maintain Kubernetes clusters on GCP.
- Develop and manage Helm charts for application deployments.

- **Collaboration and Support:**
- Work closely with development teams to understand application requirements and provide cloud solutions.
- Document processes, configurations, and best practices for team knowledge sharing.
- Provide technical support and troubleshoot complex issues related to cloud infrastructure and services.