Gauss Labs

DevOps Engineer (US)

Palo Alto, CA Remote Hybrid
Terraform AWS Docker Kubernetes
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Description
Gauss Labs is a leading innovator in AI solutions for the semiconductor industry. We are seeking an experienced DevOps Engineer to join our dynamic team. The ideal candidate will have 5-10 years of experience in DevOps, focusing on building and maintaining infrastructure, managing CI/CD pipelines, deploying cloud-native, and bare-metal applications, and supporting large-scale distributed systems.

Responsibilities

  • Build, deploy, and manage containerized applications using Docker and Kubernetes, ensuring scalability, reliability, and fault tolerance.
  • Design, implement, and maintain CI/CD pipelines using GitHub Actions, Jenkins, and ArgoCD to ensure efficient and reliable software delivery.
  • Ensure compliance with security standards such as NIST, SOC, and SEMI by implementing best practices and controls to maintain data security and integrity.
  • Develop Infrastructure as Code (IaC) using Terraform to manage AWS environments, including network configurations, security groups, and resource provisioning.
  • Optimize cloud infrastructure costs and performance by evaluating resource usage, identifying inefficiencies, and implementing solutions to reduce expenses while maintaining performance standards.
  • Provide guidance and mentorship to engineers across the company, offering best practice advice on Kubernetes, deployment strategies, scalability solutions, and observability techniques.

Basic Qualifications

  • Computer Science or related degree.
  • 5-10 years of experience in DevOps or Software Engineering roles, with a proven track record of supporting Kubernetes environments.
  • Ability to write applications and tooling, contributing to development efforts and automating processes.
Gauss Labs
Gauss Labs
Artificial Intelligence (AI) Machine Learning Manufacturing

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