; Job Summary: Client is a global truck technology leader with operations around the world. The Digital Solutions team is helping Client make better decisions faster by moving to the cloud, adopting DevOps/CICD best practices, and unlocking a new level of productivity & value. We are looking for technology leaders to drive this evolution. The DevOps Engineer is a highly motivated, results-oriented professional.
This DevOps Engineer will report into the Advanced Analytics Center of Excellent, where they will be responsible for the deployment of enterprise scale machine learning solutions everything from sales lead generation and automated credit approvals, to engineering analysis programs. These products will be deployed via DevOps best practices, using modern cloud-based services, specifically Google Cloud Platform. This role will also be responsible for the vision and execution of MLOps practices across Client , including feature stores, data and model drift detection, automated retraining, and other emergent needs within this space. As such, an attitude of extreme ownership is required great latitude in how the jobs will be accomplished is given, but performance expectations will be high.
; Job Functions / Responsibilities: Works with System Engineers, Developers, and Architects, to design and implement automated solutions with CI/CD Pipelines for infrastructure and software build, deployment, and configuration.
Strong experience using Google Cloud Platform and AWS resource technologies to develop and deploy hybrid and non-hybrid enterprise solutions.Possess strong RESTful API design and development, including API versioning, backward compatibility, and authentication.Contribute towards CICD automation/configuration management using GitHub, and other industry standards.Maintain code and scripting version control repositories and related systems supporting initiatives around infrastructure as code, using Git and GitHubIdentify, troubleshoot, and resolve problems with the build, deployment, and continuous integration process.Leverage scripting languages to build automated solutions and integrations on an ad-hoc basis. Languages often include Python, and TerraformProblem Solving in its many forms, from epic to the mundane.Reduce complexity wherever possible - Automate the handling of it everywhere else.Design and Document MLOps Architecture Solutions.Ensures security is integrated into all architecture solutions to meet compliance standards.Develop and maintain installation and configuration procedures.
; Qualifications: Demonstrated experience with IaaS and PaaS, and SaaS solutions design, development and deployment in a Google Cloud Platform environment.
Experience with multi-petabyte storage implementations using open-source storage technologies.2 years of CI/CD experienceDev-Ops experience a plus.Ability to work independently with minimal supervision.Excellent interpersonal and organizational skills, including active listening, problem solving when under pressure, and facilitation
; Education/Training Required:
A Bachelors degree in Information Technology, Computer Science, or equivalent is strongly preferred.
; Education: Bachelors Degree
; Additional client information: