ML Infra DevOps Engineer - AWS EKS & On-Prem

Syntiant-Corp; Redwood City (CA); On-site; USD 185,000 - 215,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life Insurance/AD&D

Disability coverage

FSAs/HSA

401K retirement plan

Employee Assistance Program

Job summary

Syntiant Corp. in California is seeking an experienced DevOps Machine Learning Infrastructure Engineer to build and scale ML applications on AWS EKS and on-premises clusters.

You will develop RESTful APIs with Python/FastAPI, manage CI/CD pipelines, and integrate data sources like MongoDB and PostgreSQL. The role requires 5+ years of hands-on experience with cloud and on-prem DevOps, Kubernetes, Terraform/Ansible, and Linux administration.

Qualifications

• 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).
• Experience with cloud infrastructure services such as S3, RDS, and VPCs.
• Familiarity with CI/CD tools like GitLab CI/CD or Jenkins.
• Strong understanding of database systems, including MongoDB, PostgreSQL, and NFS.
• Experience with on-premises storage solutions like Ceph.
• Expertise in Linux system administration.
• Ability to write clean, maintainable code and perform thorough testing.
• Excellent problem-solving skills and a strong attention to deta.
• Experience with cloud-native observability tools (Prometheus, Grafana) is a plus.
• Familiarity with Kubernetes operators and Helm charts is a plus.
• Knowledge of container orchestration on-premises using K8s or similar technologies is a plus.
• Experience with DevOps best practices and infrastructure as code (Terraform, Ansible) is a plus.

Responsibilities

• 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.

Skills

Python

FastAPI

AWS EKS

Docker

Kubernetes

Terraform

Ansible

GitLab CI/CD

Jenkins

MongoDB

PostgreSQL

NFS

Ceph

Linux

Prometheus

Grafana

Helm

Kubernetes operators

Helm charts

On-premises Kubernetes

Education

Bachelor's Degree in Computer Science

Tools

AWS

S3

RDS

VPCs

Ceph

Job description

Syntiant Corp. in California is seeking an experienced DevOps Machine Learning Infrastructure Engineer to build and scale ML applications on AWS EKS and on-premises clusters.

You will develop RESTful APIs with Python/FastAPI, manage CI/CD pipelines, and integrate data sources like MongoDB and PostgreSQL. The role requires 5+ years of hands-on experience with cloud and on-prem DevOps, Kubernetes, Terraform/Ansible, and Linux administration.