Automation and Integration Engineer

7 days ago

Toronto, Ontario, Canada Akkar Full time

Automation and Integration Engineer

We are seeking an experienced Automation and Integration Engineer to join our team at Akkar. As a key member of our software development team, you will be responsible for designing, implementing, and maintaining software test automation infrastructure, CI/CD pipelines, and reporting tools.

Key Areas of Focus:

  • Designing and implementing software test automation frameworks (Jenkins, Python, Robot Framework, Atlassian JIRA/Bitbucket).
  • Developing and maintaining CI/CD pipelines in Jenkins to automate software unit and integration testing and static code analysis.
  • Utilizing REST API, Java, Groovy, and network server-client programming to interface with various servers, including Atlassian servers, code analysis servers, and test servers, for generating reports, metrics, and developing internal tools.
  • Improving software testing automation, integration, and report generation methodologies.
  • Troubleshooting and resolving infrastructure and application issues.
  • Collaborating with machine learning engineers to automate ML workflows.
  • Implementing and managing containerization technologies.
  • Developing and managing data ingestion processes.

Key Requirements:

  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • 3+ years of experience in DevOps or a related role.
  • Strong scripting skills in Python, Windows Batch, Linux shells, and Jenkins pipelines.
  • Proficient in C/C++, Java, Groovy, and Robot Framework.
  • Familiarity with Atlassian tools (JIRA, Confluence, Bitbucket).
  • Experience building and maintaining lab equipment and infrastructure.
  • Self-motivated with excellent problem-solving skills and attention to detail.
  • Strong verbal and written communication skills in English, with a proven ability to collaborate effectively.
  • Knowledge of Docker and containerization technologies.
  • Experience with cloud computing (AWS, GCP, Kubernetes, etc.) is a plus.
  • Experience with MLOps practices and tools (MLOps Level 0-1) and ROS is a plus.

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