Remote Cloud DevOps Engineer: AI-Driven CI/CD

Celestica

Seattle (WA)

Remote

USD 120,000 - 160,000

Full time

5 days ago
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Job summary

Celestica is seeking a DevOps engineer to accelerate engineering productivity by developing and promoting tools, automating workflows, and supporting AI operational tooling. The role requires documenting processes, integrating third-party tools, testing infrastructure, and training engineering teams.

Primary responsibilities include building CI/CD pipelines, cloud deployments on Azure or GCP, and developing dashboards for visibility.

Qualifications

  • Proficient in Python and CI/CD tooling, with scripting experience.
  • Experience deploying and maintaining cloud infra on Azure or GCP and Linux systems.
  • Experience with Git, GitHub, GitLab for version control.
  • Familiarity with Jira and Confluence is a plus.

Responsibilities

  • Develop CI/CD pipelines using Python and scripting languages.
  • Represent Engineering Teams when evaluating, implementing, and deploying engineering tools and instituting process changes.
  • Provide training and best practices to Engineering Teams for new tools.
  • Support complex engineering operational issues requiring collaboration with teams.
  • Automate workflows through third-party tools, proofs of concept, and testing.
  • Work with Azure and GCP to deploy, manage, and scale infrastructure.
  • Create dashboards to visualize engineering workflows and project status.
  • Implement and maintain system and application monitoring and alerting.
  • Incorporate security practices at all stages of automated processes.

Skills

Python
CI/CD
Azure/GCP
Git/GitHub/GitLab
Linux

Education

Bachelor's degree in CS/IS/Engineering

Tools

Jira
Confluence

Job description

Celestica is seeking a DevOps engineer to accelerate engineering productivity by developing and promoting tools, automating workflows, and supporting AI operational tooling. The role requires documenting processes, integrating third-party tools, testing infrastructure, and training engineering teams.

Primary responsibilities include building CI/CD pipelines, cloud deployments on Azure or GCP, and developing dashboards for visibility.

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