Principal, Linux Platform Engineer
Salary: open + bonus
Location: Kansas City, MO / Chicago, IL / Overland Park, KS / New York, NY
Hybrid: 2 days onsite, 3 days remote
*This role is not open to sponsorship candidates*
Qualifications
10+ years of experience in Linux systems administration and infrastructure/platform engineering.
Production experience managing Kubernetes, preferably in bare-metal or on-premises environments (e.g., with kubeadm, RKE, or OpenShift).
Strong scripting and automation skills in Python and Bash.
In-depth knowledge of Linux internals, kernel tuning, and performance diagnostics.
Hands-on experience with SaltStack (preferred), Puppet, or Ansible for configuration management.
Familiarity with observability tools such as Prometheus, Grafana, or Loki.
Solid understanding of core infrastructure protocols and services (TCP/IP, DNS, NTP/PTP, DHCP, etc.).
Experience managing CI/CD pipelines with tools such as Jenkins, GitLab, or similar
Experience of highly regulated environments
Related certifications is a plus
Responsibilities
Managing and improving our Linux-based infrastructure with a focus on performance, reliability, and scalability.
Designing, deploying, and maintaining on-premises Kubernetes clusters and containerized workloads.
Developing and maintaining system-level software, middleware, and APIs to support internal platforms and services.
Automating system workflows and infrastructure tasks using Python, Bash, and configuration management tools like SaltStack.
Building and maintaining RPM packages and internal software repositories.
Collaborating with Application Support (SRE), Development, and Security teams to ensure secure, automated CI/CD and platform integration.
Diagnosing and resolving complex system-level issues involving the OS, network, or container runtime.
Implementing hardened security configurations, including system hardening, secure communications, and identity/access integration.
Participating in an on-call rotation to support critical infrastructure services.
Documenting architecture, tools, and operational processes to support long-term maintainability.
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