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We are looking for a highly skilled and proactive Platform Engineer to join our team. As a Platform Engineer you will play a pivotal role in implementing and maintaining our advanced analytics platform. Your expertise in Linux Kubernetes Azure DevOps R/Python scripting and Azure Cloud will contribute to the enhancements and seamless operation of our systems. In addition you will be responsible for creating tutorials demos and knowledge base articles to empower end users in effectively leveraging our platform.
Responsibilities:
Implement platform enhancements
Ensure the reliability scalability and security of the platform
Create and deploy container images and manage the lifecycle for Kubernetes clusters for
containerized applications
Utilize Azure DevOps for continuous integration and deployment processes
Troubleshoot and resolve technical issues promptly
Independently manage and prioritize tasks to meet project deadlines
Develop and maintain technical documentation for technical teams
Create userfriendly tutorials demos and knowledge base articles
Technical Requirements:
Proficient in Linux
Experience with Kubernetes orchestration docker and containerization Helm deployments
Familiarity with Azure DevOps for CI/CD pipelines for containers
Working knowledge of scripting languages such as R and Python
Competence in managing Azure Cloud resources such as Databricks Azure Machine Learning
Knowledge of Azure Open AI APIs and Azure API Management Gateway
Knowledge of Posit Teams is a plus
Qualities We Value:
CanDo Attitude: Approach challenges with a positive mindset and a proactive approach.
Curiosity and Willingness to Learn: Stay abreast of emerging technologies and continuously enhance your skill set.
SolutionOriented Thinking: Focus on providing solutions rather than dwelling on problems.
Effective Communication: Clearly articulate technical concepts and solutions to both
technical and nontechnical stakeholders.
Independence: Work autonomously demonstrating selfmotivation and accountability.
Full Time