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DevOps Engineer (Vancouver)

Leading innovator in AI solutions for the semiconductor industry, focused on building cutting-edge, intelligent solutions for manufacturing.
DevOps
Senior Software Engineer
Remote
5+ years of experience
AI · Enterprise SaaS

Description For DevOps Engineer (Vancouver)

Gauss Labs, a pioneering force in AI solutions for the semiconductor industry, is seeking a DevOps Engineer to join their Vancouver team. This role represents an exciting opportunity to work at the intersection of cutting-edge AI and manufacturing technology.

As a DevOps Engineer, you'll be instrumental in building and maintaining the infrastructure that powers Gauss Labs' innovative solutions. The role demands expertise in modern DevOps practices, including CI/CD pipeline management, infrastructure as code, and Kubernetes orchestration. You'll work with both cloud-native and on-premise environments, making this position particularly interesting for those who enjoy diverse technical challenges.

The ideal candidate will bring 5-10 years of relevant experience and a strong technical foundation in cloud platforms (particularly AWS), containerization, and infrastructure automation. Your day-to-day will involve everything from designing scalable infrastructure to troubleshooting complex systems and implementing robust monitoring solutions.

What makes this role especially appealing is the opportunity to work with cutting-edge technology in the semiconductor industry while being part of a company that's pushing the boundaries of AI in manufacturing. The position offers remote work flexibility and the chance to work on meaningful projects that directly impact the future of manufacturing technology.

If you're passionate about DevOps, have a strong technical background, and want to be part of a team that's revolutionizing the semiconductor industry through AI innovation, this role at Gauss Labs could be your next career milestone.

Last updated 10 days ago

Responsibilities For DevOps Engineer (Vancouver)

  • 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
  • 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

Requirements For DevOps Engineer (Vancouver)

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

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