MUST-HAVE SKILLS

• Proficient in cloud platforms: Azure or AWS
• Strong experience with Python for scripting and automation
• Expertise in infrastructure as code (Terraform, Ansible)
• Hands-on with CI/CD tools, especially Jenkins
• Experience with Git/GitHub workflows
• Skilled in monitoring/logging tools (Dynatrace, Splunk, ELK)
• Excellent communication skills in English

NICE-TO-HAVE SKILLS

• Familiarity with Docker and container orchestration
• Experience with artifact/package management tools like Artifactory, NuGet, or Conan
  Apply now, or share your resume with salary expectations at careers@nearsource.ca.
  Thank you for considering a career with us! Once you submit your application, our Talent Acquisition team will review your resume thoroughly. If there’s a strong match, we’ll reach out to discuss your experience, role details, benefits, compensation, and next steps. While we strive for transparency, we may not be able to respond to every applicant due to high volume, but we genuinely appreciate your time and interest.

ROLE SUMMARY

NearSource is looking for a skilled Cloud DevOps Engineer to support infrastructure automation and scalability initiatives for a Fortune 500 product company. This role will focus on Python scripting, infrastructure as code, and CI/CD reliability within cloud-based environments.

KEY RESPONSIBILITIES

• Lead implementation of infrastructure-as-code using tools like Terraform and Ansible
• Drive deployment automation, CI/CD integration, and pipeline enhancements
• Develop and maintain Python scripts for automation, monitoring, and orchestration
• Manage cloud infrastructure on Azure or AWS for high availability and security
• Collaborate with engineering teams to ensure consistent environments across development and production
• Oversee source control workflows using Git and GitHub
• Implement monitoring and observability using tools such as Dynatrace, Splunk, or ELK
• Manage artifact and package repositories (e.g., Artifactory, NuGet, Conan)
• Support containerization strategies using Docker and orchestration via Jenkins