Intelligent Automation DevOps Engineer

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Written by AI from the job title and company, not by Mass General Brigham, so some details may not match this job. The employer's own page has the real description.

Overview

The Intelligent Automation DevOps Engineer at Mass General Brigham will play a pivotal role in the design, development, and maintenance of automation solutions that enhance operational efficiencies and drive digital transformation across the organization. This position requires an innovative individual who engages in the full software development lifecycle. The engineer will collaborate with cross-functional teams to implement best practices in automation frameworks and ensure that applications are built for high performance, reliability, and scalability.

Job Responsibilities

• Design and implement automation frameworks and applications that facilitate DevOps practices.
• Collaborate with development and operations teams to identify areas for automation and improvement.
• Monitor, troubleshoot, and resolve automation application issues to ensure optimal performance.
• Utilize version control tools to manage code and collaborate on development efforts.
• Create and maintain detailed documentation for processes, procedures, and best practices related to automation.
• Conduct code reviews and ensure adherence to coding standards.
• Stay updated on emerging automation technologies and practices, integrating new solutions where applicable.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in a DevOps or Automation Engineering role.
• Proficiency in scripting languages such as Python, PowerShell, or Bash.
• Experience with CI/CD tools such as Jenkins, GitLab CI, or Azure DevOps.
• Familiarity with containerization technologies, including Docker and Kubernetes.
• Strong understanding of cloud platforms such as AWS, Azure, or Google Cloud.
• Excellent problem-solving skills and ability to work under pressure.

Technologies & Tools

This position will involve working with a variety of technologies and tools, including but not limited to automation software such as UiPath or Blue Prism, version control systems like Git, continuous integration tools such as Jenkins or CircleCI, cloud services (AWS, Azure), and container orchestration frameworks such as Kubernetes. Familiarity with monitoring tools like Prometheus or Grafana is also essential for ensuring system reliability and performance.

Ideal Candidates

The ideal candidate for the Intelligent Automation DevOps Engineer position will possess a strong analytical mindset and a passion for leveraging technology to streamline processes and enhance operational capabilities. They should be able to communicate effectively across teams, fostering collaboration and innovation while driving projects to completion. A proactive attitude toward learning new technologies and adapting to a rapidly evolving landscape is essential, along with the ability to work independently and as part of a diverse team.