Job description

Description:We are currently seeking an experienced DevOps Engineer with Software/Data Engineering Experience to join the Big Data and Advanced Analytics department. As part of the Data Engineering team, the DevOps Engineer will work closely with Data Engineers and Data Scientists to build and deploy Data Analytics and Machine Learning applications as well as build & maintain custom software to enhance and extend the operational efficiency of our engineers and to enhance and integrate our internal governance requirements. This individual will provide analytical and technical leadership to the team to advance the data engineering practice within the organization.Responsibilities include:• Work directly with Data Engineers and Data Scientists to understand the business objective and develop high-quality, scalable, data & machine learning systems • Design and implement frameworks and tools to streamline product development process• Develop and maintain application environment automation tools• Create and maintain CI/CD pipelines• Design and implement source code management practices including branching strategies and code quality• Perform application deployments acting as a gatekeeper to the production environment• Work with the platform management team and engineers to build out and support observability, monitoring, and governance solutions & utilization• Develop, Discuss & Follow software and solution design documentationQualificationsThe successful candidate will meet the following qualifications:• 5+ years of OOP-based software engineering experience – python preferred• Hands-on experience developing solutions using design patterns based solutions• 5+ years of experience with CI/CD tools such as Azure DevOps, Jenkins, and GitLab• 5+ years of experience in testing, packaging, and deploying Python applications• 5+ years of experience in creating and managing Kubernetes deployments both manually and using Helm• 2+ years of experience with IT automation tools such as Ansible, Chef, Puppet, or Terraform• Expertise with package & deployment management tools such as pip, conda, maven, npm,v docker, and helm• Expertise in several deployment strategies including Rolling, Blue-Green, Canary, and A/B Testing• Experience in creating and managing fully remote development environments within Kubernetes across many clusters and environments

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