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