Senior Unix Administrator

Job Purpose And Summary

This is a highly technical position responsible for the architecture and design of complex Unix and Kubernetes computing environments, both on-prem and Cloud/AWS configurations. Focus is on AIX/RHEL Administration, Kubernetes, virtualization technologies, IBM & EMC hardware and Disaster Recovery processes. Collaborate closely with developers and other technology personnel to develop, migrate and manage services in the Amazon Web Services (AWS) cloud environment, and in physical data centers.

Required Skillsets:

• Proven ability to create, configure, and manage Enterprise Linux based systems
• Strong Kubernetes implementation and management skills
• Ability to create, manage, and troubleshoot Manifest Files
• Ability to develop, read, and update Helm Charts
• Familiarity with CI/CD concepts and tooling
• Experience using Git
  
  

Desired Skillsets:

• Good understanding of network technologies, e.g., load balancing, service APIs, DNS, gateways, proxies, firewalls, ...
• Ability to review and troubleshoot Java VM / Tomcat errors and configuration options
• Understanding of PostgreSQL deployment and configuration
• Knowledge of Gradle or Maven build processes
• Experience deploying containerized applications in a public cloud provider (AWS EKS / ECS, Azure ACI / AKS)

• Candidates are required to be on camera
• Accommodations can be made by attending an in-person interview
• Note, PHEAA will not reimburse for travel for candidates to attend an in-person interview.
• The interview must be taken in a private location (e.g. reserved library room or empty, secured location within the candidate's house such as a personal office or bedroom)
• Candidate's will be asked to do a 360-camera view of the room to ensure they are alone and can be asked at any time during the interview.
• If it is suspicious that another person is in the room, the interviewer will end the interview immediately.
  
  
• No AI Assistance: Under no circumstances should AI tools be utilized during the interviewing process. This includes, but is not limited to, AI-driven interview platforms, chatbots, or any technology that analyzes candidate responses through automated means.
• If there is suspicious AI technology being used, the interviewer will end the interview immediately.