Senior Devops AI tools Engineer

Celestica International LPBothell, WA
$101,000 - $150,000Remote

About The Position

The DevTestOps engineer handles daily requests from the engineering team. This includes answering engineering support questions, granting tool access, and customizing Azure DevOps pipelines. DevTestOps engineers may also investigate infrastructure issues, manage VMs, explore new AI Tools and develop new automated engineering pipelines. Performs tasks such as, but not limited to, the following: CI/CD Management: Architecting and managing robust, scalable, and secure pipelines to support diverse applications. Automation: Developing high-quality Python scripts and tools to automate build, testing, and deployment processes. Monitoring: Designing custom dashboards to provide real-time visibility across different tools. Troubleshooting: Resolving complex technical issues across the full stack, including application bugs and infrastructure failures. Collaboration: Working with software development, hardware engineering, QA, IT, manufacturing, and other cross-functional teams to streamline workflows.

Requirements

  • 5 to 10 years of relevant work experience.
  • Strong coding proficiency in one of programming languages, like Python, SQL, Scripting languages.
  • Knowledge of Google Enterprise Tools, Azure DevOps (or Git/Jenkins), Jira, qTest, VM Management, Black Duck, and build tools.
  • Solid understanding of data structures, algorithms, and operating systems.
  • Solid understanding of large software development processes.
  • Analytical mindset with a service-oriented mentality focused on keeping customers happy.

Responsibilities

  • Handle daily requests from the engineering team, including answering support questions and granting tool access.
  • Customize Azure DevOps pipelines.
  • Investigate infrastructure issues.
  • Manage Virtual Machines (VMs).
  • Explore new AI Tools.
  • Develop new automated engineering pipelines.
  • Architect and manage robust, scalable, and secure CI/CD pipelines.
  • Develop high-quality Python scripts and tools to automate build, testing, and deployment processes.
  • Design custom dashboards for real-time visibility across different tools.
  • Resolve complex technical issues across the full stack, including application bugs and infrastructure failures.
  • Collaborate with software development, hardware engineering, QA, IT, manufacturing, and other cross-functional teams to streamline workflows.

Benefits

  • Comprehensive benefits package
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service