DevOps Machine Learning Infrastructure - Redwood City, California, United States
$185,000 - $215,000 USD yearly
Originally posted 19 October 2026 by the employer.
About the role
DevOps Machine Learning Infrastructure Engineer responsible for building, maintaining, and enhancing machine learning applications deployed across AWS Elastic Kubernetes Service (EKS) and on-premises environments. You will support RESTful APIs, automate CI/CD pipelines, and administer on-premises clusters running Ceph, PostgreSQL, and NFS services.
What you'll do
- Develop, maintain, and optimize RESTful APIs using Python and FastAPI. - Deploy and manage applications on AWS EKS, ensuring high availability, scalability, and performance. - Integrate with data sources and services, including MongoDB and PostgreSQL, for data storage and retrieval. - Implement CI/CD pipelines to automate testing and deployment processes using tools like GitLab CI/CD or Jenkins. - Maintain on-premises servers running Ceph, PostgreSQL, and NFS services while administering Linux systems. - Troubleshoot and resolve issues across development, staging, and production environments while conducting code reviews and pair programming.
What you'll need
- Bachelor's Degree in Computer Science or equivalent work experience. - Minimum of 5 years of relevant experience. - Proficiency in Python, with experience using FastAPI for API development. - Hands-on experience with AWS EKS, including deploying, scaling, and managing Kubernetes clusters. - Knowledge of containerization technologies (Docker, Kubernetes) and cloud infrastructure services (S3, RDS, VPCs). - Strong understanding of database systems, including MongoDB, PostgreSQL, and NFS, alongside experience with on-premises storage solutions like Ceph. - Expertise in Linux system administration and familiarity with CI/CD tools like GitLab CI/CD or Jenkins.
Nice to have
- Experience with cloud-native observability tools (Prometheus, Grafana). - Familiarity with Kubernetes operators and Helm charts. - Knowledge of container orchestration on-premises using K8s or similar technologies. - Experience with DevOps best practices and infrastructure as code (Terraform, Ansible).
Skills: machine learning applications, AWS EKS, containerization, CI/CD pipelines, on-premises machine learning cluster
This role has been open 0 days — well below the 52-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
968
|
Median days open
52 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Syntiant | All employers we track in this specialty (968 roles · 86 employers) |
|---|---|---|
| Open roles in this specialty | 1 | 968 |
| Open roles in the wider Software, Firmware & Systems family | 3 | 6166 · 145 employers |
| Median days open | 0 d | 52 d (−52 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: machine learning applications, AWS EKS, containerization, CI/CD pipelines, on-premises machine learning cluster
Who's hiring in this category
- NVIDIA · 278 open roles · median 47 d
- Qualcomm · 62 open roles · median 54 d
- AMD · 54 open roles · median 20 d
- Graphcore · 44 open roles · median 94 d
- Intel Corporation · 43 open roles · median 13 d
- Cerebras · 36 open roles · median 84 d
How we counted: 968 open Infrastructure/Platform Software (Infrastructure Platform) roles from 86 employers tracked in the SemiconductorJobs index, counted 19 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.