DevOps Engineer (Vancouver)

Vancouver
Tech – Infrastructure Engineering /
Full-time /
Remote
Gauss Labs is a leading innovator in AI solutions for the semiconductor industry. Our mission is to accelerate innovation by building cutting-edge, intelligent solutions that push the boundaries of what's possible in manufacturing and beyond.
  We are seeking a passionate and experienced DevOps Engineer to join our dynamic team. You will play a critical role in building and maintaining scalable infrastructure, managing CI/CD pipelines, and deploying cloud-native and bare-metal applications. This role requires a high level of technical expertise, a collaborative mindset, and a strong desire to continuously improve systems and processes

Responsibilities

    • Design, implement, and manage CI/CD pipelines for multiple applications and services.
    • Build and maintain infrastructure-as-code (IaC) using tools like Terraform.
    • Manage Kubernetes (EKS) clusters, container orchestration, and application deployment strategies.
    • Troubleshoot complex issues across systems, infrastructure, and application layers—including diving into application code, logs, and metrics to assist in root cause analysis.
    • Support hybrid deployment models, including both cloud-native and on-premise environments.
    • Automate operational workflows and ensure system reliability, scalability, and security.
    • Collaborate with engineering teams to understand requirements and provide infrastructure support.
    • Monitor systems and implement observability best practices.
    • Participate in on-call rotations and incident response.

Basic Qualifications

    • 5-10 years of DevOps or Software engineering experience.
    • Proficiency with cloud platforms (AWS preferred).
    • Hands-on experience with Kubernetes and containerized applications.
    • Strong experience with CI/CD tools like GitHub Actions, ArgoCD, or similar.
    • Experience managing infrastructure using Terraform, or other IaC tooling.
    • Ability to read and debug code in at least one programming language (Python, Go, etc).
    • Familiarity with monitoring/observability tools (Prometheus, Grafana, ELK, etc.).
    • Scripting and automation skills (Python, Bash, etc.).
    • Strong understanding of networking, security, and distributed systems.

Preferred Qualifications

    • Proven ability to work closely with developers and understand application behavior and system interactions.
    • Experience with hybrid deployment environments or the semiconductor/manufacturing domain.