Internship - DevOps Machine Learning Infrastructure

Syntiant • Irvine, CA

9d

About The Position

Syntiant Corp. is seeking a DevOps Machine Learning Infrastructure Intern to support its Software Engineering team. The intern will work alongside engineers to help build, maintain, and enhance machine learning applications deployed on AWS Elastic Kubernetes Service (EKS) and an on-premises machine learning cluster. The role involves working across cloud and on-premises environments and contributing to application development, cloud infrastructure, containerization, and DevOps practices.

Requirements

• Pursuing a bachelor's or master's degree in Computer Science, or equivalent work experience, with relevant coursework, research, or project experience.
• Proficiency in Python and familiarity with FastAPI for API development.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Familiarity with CI/CD tools such as GitLab CI/CD or Jenkins.
• Familiarity with database systems including MongoDB, PostgreSQL, and NFS.
• Familiarity with Linux system administration.
• Willingness to learn to write clean, maintainable code and perform thorough testing.
• Strong problem-solving skills and attention to detail.

Nice To Haves

• Exposure to AWS EKS, including deploying, scaling, and managing Kubernetes clusters.
• Exposure to cloud infrastructure services such as S3, RDS, and VPCs.
• Exposure to on-premises storage solutions such as Ceph.
• Exposure to cloud-native observability tools such as Prometheus and Grafana.
• Familiarity with Kubernetes operators and Helm charts.
• Exposure to on-premises container orchestration using Kubernetes or similar technologies.
• Exposure to DevOps best practices and infrastructure as code tools such as Terraform and Ansible.

Responsibilities

• Develop, maintain, and optimize RESTful APIs using Python and FastAPI.
• Deploy and manage applications on AWS EKS, supporting availability, scalability, and performance.
• Integrate data sources and services, including MongoDB and PostgreSQL, for data storage and retrieval.
• Implement CI/CD pipelines to automate testing and deployment.
• Collaborate across teams to integrate cloud-native tools and practices.
• Maintain on-premises servers running Ceph, PostgreSQL, and NFS services.
• Troubleshoot and resolve issues in development, staging, and production environments.
• Participate in code reviews, pair programming, and knowledge-sharing sessions.

What This Job Offers

• Career Level: Intern