Senior DevOps Engineer

Conductor; Toronto; On-site; CAD 110,000 - 150,000; Full time

Job summary

A leading company seeks a Senior Development Operations Engineer at their Toronto Design Centre. This role involves designing automation frameworks, maintaining CI/CD pipelines, and collaborating in machine learning projects. Ideal candidates have a strong background in DevOps, proficient scripting skills, and a keen interest in MLOps practices.

Qualifications

• 5+ years of experience in DevOps or related role.
• Strong scripting skills in Python and Jenkins pipelines.
• Familiarity with cloud computing (AWS, GCP, Kubernetes) is a plus.

Responsibilities

• Design and manage software test automation frameworks.
• Maintain CI/CD pipelines in Jenkins for software testing.
• Collaborate with machine learning engineers for ML workflow automation.

Skills

Python

Jenkins

REST API

Java

Groovy

C / C++

Docker

Education

Bachelor’s degree in Computer Science, Software Engineering or related field

Tools

JIRA

Bitbucket

Robot Framework

Job description

We are seeking a highly skilled and motivatedSenior Development Operations (DevOps) Engineer to join our software group within indie’s Vision Business Unit at our Toronto, Canada Design Centre. In this role, you will be responsible for designing, implementing, and maintaining our software test automation infrastructure, CI / CD pipelines, and reporting tools. You will work closely with our software QA and development teams to ensure seamless integration and delivery of our applications. Additionally, you will have the opportunity to expand your expertise in MLOps by collaborating with machine learning engineers to deploy and manage machine learning models.

Responsibilities

• Design, implement, and manage software test automation frameworks (Jenkins, Python, Robot Framework, Atlassian JIRA / Bitbucket).
• Develop and maintain CI / CD pipelines in Jenkins to automate software unit and integration testing and static code analysis.
• Utilize 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.
• Improve software testing automation, integration, and report generation methodologies.
• Troubleshoot and resolve infrastructure and application issues.
• Collaborate with machine learning engineers to automate ML workflows.
• Implement and manage containerization technologies.
• Develop and manage data ingestion processes.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 5+ 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++, REST API, 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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