DevOps/Data Scientist

Description:

** Hybrid | 3 days/wk | San Francisco, CA or Charlotte NC**

As a DevOps/Data Scientist, you will play a critical role in bridging the gap between data science and infrastructure. You will be responsible for designing, implementing, and maintaining scalable and efficient cloud-based solutions on Google Cloud Platform (GCP) using Terraform. Your work will enable our data science team to deploy models and analytics solutions seamlessly, ensuring high availability and performance.

Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $70 - $80 / hr. w2

• Design, build, and maintain scalable cloud infrastructure on GCP using Terraform.
• Collaborate with data scientists to deploy machine learning models and analytics solutions in a production environment.
• Automate infrastructure provisioning, configuration management, and application deployment processes.
• Monitor and optimize system performance, ensuring high availability and reliability.
• Implement security best practices and ensure compliance with industry standards.
• Develop and maintain CI/CD pipelines to streamline the deployment process.
• Troubleshoot and resolve infrastructure and application issues.
• Stay up-to-date with the latest industry trends and technologies to drive continuous improvement.

• Proven experience in DevOps and Data Science roles, with a strong focus on cloud infrastructure.
• Expertise in Terraform for infrastructure as code (IaC) on GCP.
• Solid understanding of GCP services, including Compute Engine, Cloud Storage, BigQuery, and Kubernetes.
• Experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI.
• Proficiency in programming languages such as Python, Go, or Bash.
• Strong problem-solving skills and the ability to work collaboratively in a team environment.
• Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders.

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).