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Senior Platform Engineer

Cadre5, Knoxville, TN, United States


Overview
Cadre5 provides innovative technical solutions to our customers locally and nationally. Our Cadre5 Lab Partners division has partnered with the National Center for Computational Sciences (NCCS) at Oak Ridge National Laboratory (ORNL) to recruit highly qualified individuals to play a key role in improving the security, performance, and reliability of the NCCS computing infrastructure which supports multiple highly ranked Top500 Supercomputers, including the world’s first exaflop system, Frontier.

ORNL delivers scientific discoveries and technical breakthroughs needed to realize solutions in energy and national security and provides economic benefit to the nation. This premier research institution located near Knoxville in Oak Ridge, TN, addresses national needs through impactful research and world-leading research centers.

Job Responsibilities

Work with the team to define and implement best practices and standards within the organization

Keeping the Kubernetes platform reliable, available, and fast

Architecting solutions to problems that improve the reliability, scalability, performance, and efficiency of our services

Respond to, investigate, and fix service issues all the way from bare metal through the OS to the application code

Coordinate with vendors to resolve hardware and software problems

Participate in an on-call rotation providing 24-hour, 7-day support and off-hours maintenance windows

Work with users to help them use Kubernetes

Basic Qualifications

Bachelor’s degree in a scientific field and a minimum of 8 years of relevant experience required. Equivalent combinations of education and experience will be considered.

Candidates with a Bachelor’s degree and 5+ years of relevant experience may also be considered based on qualifications

Experience managing and maintaining on-premises cluster infrastructure

Excellent interpersonal/communications skills, and the ability to work as part of a team

Strong working knowledge of Linux systems fundamentals and networked computing environment concepts

Experience with code reviews, code quality, CI/CD tooling, GitOps, SCM (e.g. GitLab)

Ability to identify requirements and to define, plan, and implement requisite solutions for small and medium projects

Ability to develop and maintain programs and scripts that aid in the operation and automation of tasks using various shell and scripting languages (primarily bash, Python, and Go)

Experience with on-call rotation

The ability to obtain and maintain a Department of Energy "Q" clearance is required. This requires US Citizenship.

Preferred Qualifications

Experience with Kubernetes as a cluster administrator for on-premises deployments

Subject matter expert in Kubernetes as a cluster administrator for bare metal, on-premises deployments

Excellent interpersonal/communications skills, be able to effectively communicate with other teams and organizational leadership. Convey technical details to a non-or semi-technical audience.

Ability to identify requirements and to define, plan, and implement requisite solutions for large, organizationally impactful projects.

Self-driven with the ability to work in a dynamic, loosely structured research & development environment.

Experience with RKE2 (nice to haves: Red Hat OpenShift and Talos). Multi-cluster management tools for Kubernetes (e.g. Fleet), and container security tools (Neuvector, SCC, pod admission control)

Experiencing with managing image registries such as Quay or Harbor

Experience using tools such as Prometheus, Nagios, and Grafana to monitor systems, metrics and create dashboards

Experience designing and implementing highly-available systems/services

Experience with Infrastructure-as-Code tooling such as Terraform, Helm, and Puppet

Experience implementing systems-level security technologies (e.g. SELinux, Seccomp, linux capabilities), experience with DevSecOps, and general security best practices.

Experience with AIOps and MLOps tooling – e.g. KServe, Kubeflow, vLLM, NVidia Enterprise AI, AMD Silo AI, ClearML, MLFlow

Experience using HPC hardware for Kubernetes – e.g. RDMA, DPUs, Infiniband, many-core CPUs

Experience with declarative CI/CD tools such as ArgoCD

Experience with workflow engines such as Apache Airflow or Argo Workflows

Experience with infrastructure automation

Cloud engineering experience with at least one cloud service provider

Experience with reusable, automated workflows such as PagerDuty playbooks

Cadre5 offers excellent pay and benefits, to include full medical, dental, and vision coverage coupled with 401K match, 15 days PTO, and 10 holidays.

Cadre5 is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. Cadre5 is an E-Verify Employer.

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