Internship - DevOps Machine Learning Infrastructure
Read straight from Syntiant's careers page, verified 1d ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
SalaryNo pay range posted
LocationIrvine, California, United States
Typepart-time
SeniorityEntry
DepartmentSoftware
Company size51–200 people
PostedOct 29, 2026 · 1w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Develop, maintain, and optimize RESTful APIs using Python and FastAPI
Deploy & manage applications on AWS EKS, ensuring high availability, scalability, and performance
Integrate with various data sources & services (e.g., MongoDB, Postgres) for efficient data storage and retrieval
Implement CI/CD pipelines to automate testing and deployment processes
Collaborate across teams to ensure seamless integration of cloud-native tools and practices
Maintain on-premises servers running Ceph, PostgreSQL, and NFS services
Troubleshoot & resolve issues across different environments (development, staging, production)
Participate in code reviews, pair programming, and knowledge sharing sessions
Pursuing a Bachelor's or Master's degree in Computer Science or equivalent work experience
Proficiency in Python, with familiarity using FastAPI for API development
Familiarity with containerization technologies (Docker, Kubernetes)
Exposure to cloud infrastructure services such as S3, RDS, and VPCs
Familiarity with CI/CD tools like GitLab CI/CD or Jenkins
Familiarity with database systems, including MongoDB, PostgreSQL, and NFS
Exposure to on-premises storage solutions like Ceph
Familiarity with Linux system administration
Willingness to learn to write clean, maintainable code and perform thorough testing
Strong problem-solving skills and a strong attention to detail
Exposure to AWS EKS, including deploying, scaling, and managing Kubernetes clusters is a plus
Exposure to cloud-native observability tools (Prometheus, Grafana) is a plus
Familiarity with Kubernetes operators and Helm charts is a plus
Exposure to container orchestration on-premises using K8s or similar technologies is a plus
Exposure to DevOps best practices and infrastructure as code (Terraform, Ansible) is a plus
Skills
Python
FastAPI
AWS
EKS
Docker
Kubernetes
GitLab CI/CD
Jenkins
MongoDB
PostgreSQL
NFS
Ceph
Linux
Prometheus
Grafana
Helm
Terraform
Ansible
About the role
Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for a DevOps Machine Learning Infrastructure Intern to take on a role supporting our Software Engineering team.
The DevOps Intern will work alongside engineers to help build, maintain, and enhance our machine learning applications, specifically those deployed on AWS Elastic Kubernetes Service (EKS) and on-premises machine learning cluster. The ideal candidate will have experience with application development, cloud infrastructure, containerization, and DevOps practices, as well as the ability to work on both on-premises and cloud environments.
Requirements
•
Develop, maintain, and optimize RESTful APIs using Python and FastAPI.
•
Deploy & manage applications on AWS EKS, ensuring high availability, scalability, and performance.
•
Integrate with various data sources & services (e.g., MongoDB, Postgres) for efficient data storage and retrieval.
•
Implement CI/CD pipelines to automate testing and deployment processes.
•
Collaborate across teams to ensure seamless integration of cloud-native tools and practices.
•
Maintain on-premises servers running Ceph, PostgreSQL, and NFS services.
•
Troubleshoot & resolve issues across different environments (development, staging, production).
•
Participate in code reviews, pair programming, and knowledge sharing sessions
Qualifications
•
Candidate 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, with familiarity using FastAPI for API development.
•
Exposure to AWS EKS, including deploying, scaling, and managing Kubernetes clusters is a plus.
•
Familiarity with containerization technologies (Docker, Kubernetes).
•
Exposure to cloud infrastructure services such as S3, RDS, and VPCs.
•
Familiarity with CI/CD tools like GitLab CI/CD or Jenkins.
•
Familiarity with database systems, including MongoDB, PostgreSQL, and NFS.
•
Exposure to on-premises storage solutions like Ceph.
•
Familiarity with Linux system administration.
•
Willingness to learn to write clean, maintainable code and perform thorough testing.
•
Strong problem-solving skills and a strong attention to detail.
•
Exposure to cloud-native observability tools (Prometheus, Grafana) is a plus.
•
Familiarity with Kubernetes operators and Helm charts is a plus.
•
Exposure to container orchestration on-premises using K8s or similar technologies is a plus.
•
Exposure to DevOps best practices and infrastructure as code (Terraform, Ansible) is a plus.
Benefits
About the company
About Syntiant**:**
Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company’s purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world’s leading strategic and financial investors including Intel Capital, Microsoft’s M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting www.syntiant.com.