DataScience LLC
DataScience LLC

Senior DevOps OpenShift Engineer

TLDR

Design, deploy, and support highly available OpenShift environments for enterprise workloads, with deep Kubernetes, storage integrations, and SAS platform readiness.

Job Summary 
We are looking for a DevOps Engineer specialized in Red Hat OpenShift with strong 
Linux and infrastructure expertise. The candidate will be responsible for designing, 
deploying, and supporting highly available OpenShift environments for enterprise-grade 
workloads, including SAS applications. 
The role requires deep understanding of Kubernetes internals, storage integrations, 
cluster operations, and the ability to guide customers through infrastructure 
preparation and production deployments. 

Key Responsibilities 
 Design and deploy highly available OpenShift clusters 
Manage cluster lifecycle (installation, upgrades, troubleshooting) 
Implement storage solutions using CSI drivers and external storage systems 
 Build and manage mirror registries 
 Develop robust Dockerfiles for enterprise workloads 
 Create modular Helm charts and Kustomize overlays 
 Ensure infrastructure redundancy at network, storage, and compute layers 
 Guide customers in preparing infrastructure to meet SAS application 
prerequisites 
 Install and validate new enterprise platforms (Cloudera, ETL suites, analytics 
platforms) 
 Act as liaison between customers, support teams, and internal developers 
 Perform root cause analysis for production incidents 
Required Skills & Experience 
Linux & Infrastructure 
 Advanced Linux CLI expertise 
 Filesystem and LVM administration 
 NFS, iSCSI, block storage management 
 Network bonding and HA configurations 
 Experience designing redundancy at every layer 
OpenShift (Mandatory & Core Skill) 

 Strong hands-on experience with: 
o Red Hat OpenShift 
 Deep understanding of: 
o Operators 
o SCCs 
o Routes & Ingress 
o MachineSets & cluster scaling 
o Internal and mirrored registries 
o CSI storage integrations 
 Experience with disconnected or air-gapped installations 
Kubernetes & Containerization 
 Strong Kubernetes architecture knowledge 
 Helm chart modularization 
 Kustomize overlays 
 Secure Docker image building 
 Registry mirroring and image management 
Cloud & Platform Experience 
 Experience with at least two of: 
o Amazon EKS 
o Google Kubernetes Engine 
o Azure Kubernetes Service 
o Red Hat OpenShift 
Scripting & Automation 
Strong Bash and awk scripting 
 Automation-first mindset 
 CI/CD pipeline experience 
Nice to Have 
 Experience with SAS platform deployments (strong advantage) 
 Experience with Cloudera or enterprise data platforms 
 Experience handling large-scale analytics workloads 
 Infrastructure sizing and performance optimization for data-intensive 
applications 
Soft Skills 
 Strong leadership in technical discussions 
Ability to guide customers in infrastructure readiness 
 Clear documentation and architectural explanation skills 
 Ownership mentality for production platforms 
 Quick learner with ability to evaluate and deploy new enterprise software stacks

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