Sparrow Connected

Sparrow Connected

Azure DevOps Specialist (Remote)

Calgary, AB, Canada · Exec · Part-time

Work authorization requiredDetected 1965 days ago
PowerShellGitSQLAzureKubernetesCI/CDDevOpsRESTLoad BalancingPhotographyLeadershipSharePoint

About the role

  • As we're growing rapidly, we need our first, full-time, DevOps specialist.
  • This has been a part-time role split among heroic members of the development team, but it's time to level up.

Skills

  • Sparrow's a real silicon-valley funded product company based in Alberta.
  • Connected and informed employees are more productive, more engaged and happier.

Company info

  • Designing, building, testing, automating, monitoring and supporting significant components of our environments in Azure.
  • Monitoring and optimizing cost, efficiency, resiliency, and more
  • Contributing to technical decisions and direction in a collaborative team environment, including architecture, estimation, product planning, user story/requirement creation.
  • Implementing modern Continuous Delivery processes for releasing software to production.
  • Applying industry best practices and patterns across infrastructure and application components e.g. security, elasticity, performance.
  • Applying configuration management, infrastructure provisioning, and container orchestration tooling to solve business problems.
  • Develop best of breed solutions.
  • Work in an Agile environment where you will be challenged and motivated.
  • Introducing/suggesting new processes and techniques.
  • Demonstrate a strong commitment to Excellence and Quality
  • Degree in Computer Science, Software Engineering, or related
  • Azure DevOps Engineer or Azure Developer Associate certification
  • 3+ years of Powershell automating systems like SharePoint or other parts of M365
  • Experience with Kubernetes and containerization an asset

Visa & Work Authorization

  • Important - We cannot sponsor visas at this time

This listing is sourced directly from Sparrow Connected's careers page and normalized into a canonical job model.