DevOps Machine Learning Infrastructure

Overview

Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for an experienced and talented Dev Ops Machine Learning Infrastructure Engineer to take on a critical role with expansive responsibilities to enhance the Software Engineering function in a growing organization.

This individual will play a crucial role in maintaining and enhancing 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 cloud infrastructure, containerization, and Dev Ops practices, as well as the ability to work on both on-premises and cloud environments.

• 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 various data sources and services (e.g., Mongo
  
  DB, Postgre
  
  SQL) 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, Postgre
  
  SQL, and NFS services.
• Troubleshoot and resolve issues across development, staging, and production environments.
• Participate in code reviews, pair programming, and knowledge-sharing sessions.

• 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 Git Lab CI/CD or Jenkins.
• Strong understanding of database systems, including Mongo
  
  DB, Postgre
  
  SQL, 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 detail.
• 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 Kubernetes or similar technologies is a plus.
• Experience with Dev Ops best practices and infrastructure as code (Terraform, Ansible) is a plus.

• Medical: Several plan options including PPO and HSA-compatible plans from Anthem Blue Cross, most of which are 100% paid by Syntiant Corp. for you and your family.
• Dental: Company-paid dental PPO coverage from Met Life, including coverage for Orthodontia.
• Vision: Company-paid vision PPO coverage from Met Life / VSP.
• Life Insurance / AD&D: Company-paid basic Life / AD&D coverage in the amount of 3x your salary (up to $1,000,000). Additional supplemental life insurance with low group rates is available for yourself and your family.
• Disability Coverage: Company-paid Short Term and Long-Term Disability coverage provides up to 60% income replacement protection.
• Spending and Savings Accounts: Flexible Spending Account (FSA) benefits for Health Care and Dependent Care. Health Savings Accounts (HSA) for those enrolled in a qualified Medical plan.
• 401K Retirement Plan: Administered by Empower, the 401(k) plan allows you to plan for your future by investing a portion of each paycheck.
• Other Benefits: An Employee Assistance Program (EAP), as well as access to additional voluntary benefits including Accident, Critical Illness, Hospital Indemnity, Legal Support, and Identity Fraud Protection.

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…