Platform Engineer

DATAMAXIS

Platform Engineer

Okemos, MI
Full Time
Paid
  • Responsibilities

    Description:

    • Contributes to the design and implementation of a software engineering culture that unifies Application Development and Operations. Will assist in engineering solutions that maximize the throughput of code releases through automated, secure and portable tools and functions.

    Responsibilities:

    • Participates in the analysis, design and development of technical specifications, programming, and testing of DevOps components.
    • Participates in design and scripting reviews to ensure that design and enterprise programming standards and guidelines are followed. Assist with creating or updating the enterprise standards when gaps are identified.
    • Assists team members in issue resolution, scalability metrics, integration issues, and critical production issues as required.
    • Follows technology best practices and standards and escalates any issues as they deem appropriate. Follows architecture and design best practices (as guided by the Senior Engineer, Lead DevOps Engineer & Architectural team).
    • Responsible for assisting in configuration and scripting to implement fully automated infrastructure provisioning, image builds, and instance deployment capabilities.
    • Follows standard change control and configuration management practices.
    • Participates in 24-hour on-call rotation in support of the platform.

    Required Skills/Qualifications

    • Drive and desire to automate repeatable processes.
    • Excellent interpersonal skills and communication, as well as the willingness to collaborate with teams across the organization.
    • Experience in DevOps practices, infrastructure, scripting/programming.
    • Linux/Unix OS experience
    • OpenShift experience
    • Kubernetes experience

    Desired Skills/Qualifications

    • KCNA, CKA, and/or CKAD certification
    • Experience working with Kubernetes in an Enterprise environment.
    • Working knowledge of cloud technologies (e.g. OpenStack, Azure, AWS, etc.), container concepts (e.g. Docker), infrastructure deployment tools (e.g. Ansible, Chef, Terraform), CI/CD tools (e.g. ArgoCD, Jenkins, GitHub Actions)