Job Title: SAS VIYA Administrator
Job Summary
We are seeking a motivated SAS VIYA Administrator to manage, maintain, and support enterprise SAS VIYA deployments across on-premises, cloud, and hybrid environments. The ideal candidate will be responsible for the full lifecycle administration of SAS VIYA platforms, including installation, configuration, monitoring, troubleshooting, and customer support. This role requires strong expertise in Kubernetes/OpenShift orchestration, database management systems (particularly Oracle and PostgreSQL), and direct customer engagement to resolve technical issues and ensure platform reliability.
Key Responsibilities
SAS VIYA Platform Administration
- Deploy and manage SAS VIYA on-premises using open-source Kubernetes or Red Hat OpenShift, in cloud environments (Azure, AWS, GCP, Oracle Cloud).
- Validate infrastructure prerequisites and perform technical preparations for Kubernetes/OpenShift deployments
- Monitor system performance, troubleshoot issues, and optimize SAS applications and infrastructure
- Implement backup and recovery strategies to protect critical data and ensure business continuity
- Automate routine administrative tasks using scripts and scheduling tools.
Customer Support & Issue Resolution
- Serve as the primary technical point of contact for customers experiencing SAS VIYA-related issues
- Investigate, diagnose, and resolve technical problems reported by end-users or detected through monitoring systems
- Analyze log files, perform root cause analysis, and provide timely solutions to minimize downtime
- Coordinate with development teams, and customers to ensure issue resolution
- Conduct training sessions or workshops to educate users on effective use of the SAS platform
- Create and maintain technical documentation.
Required Skills & Experience
Education & Certification
- Bachelor’s degree in computer science, Computer Engineering, or a relevant field
Technical Skills
- Strong system administration experience with Linux (installation, configuration, troubleshooting)
- Hands-on experience with Red Hat OpenShift and/or upstream Kubernetes
- Knowledge of Kubernetes concepts: Pods, Services, Namespaces, Ingress, StatefulSets, PVCs, StorageClasses
- Experience with at least two major cloud platform: AWS, Azure, GCP, or Oracle Cloud
- Good experience with Oracle/PostgreSQL administration (installation, configuration, troubleshooting)
- Experience in scripting languages: Bash, Python.
- Experience with configuration management tools (Ansible)
Soft Skills
- Strong troubleshooting mindset with ability to diagnose complex technical issues
- Excellent customer-facing communication skills, ability to explain technical concepts clearly
- Problem-solving abilities, proactive approach to identifying and resolving issues
- Team collaboration, ability to work effectively with cross-functional teams
- Documentation skills, create clear technical documentation and guides
- Quick learner, willingness and ability to rapidly learn new software platforms and technologies
- Ownership mentality, take responsibility for production platforms and customer satisfaction
Skills Required
- Bachelor's degree in computer science, Computer Engineering, or relevant field
- Strong system administration experience with Linux
- Hands-on experience with Red Hat OpenShift and/or upstream Kubernetes
- Experience with Oracle/PostgreSQL administration
- Experience in scripting languages: Bash, Python
What We Do
As a leading AI and Data Analytics provider in the MENA region, DataScience Middle East specializes in transforming raw data into actionable insights, enabling governments, financial institutions, and telecommunication companies to drive innovation and achieve meaningful business outcomes. Founded in 2015, our expertise lies in developing cutting-edge AI solutions and fostering a deep mastery of analytics. With a focus on delivering impactful, scalable technologies, we are committed to helping organizations harness the power of data to make informed decisions that shape the future. Our core offerings include: 1. Advanced AI & Machine Learning Solutions: Custom-built to address specific industry challenges. 2. Data Management & Analytics: Enabling organizations to unlock the full potential of their data. 3. Compliance & Regulatory Solutions: Ensuring organizations meet industry standards and regulatory requirements, including data privacy, financial compliance, and AI governance. We help businesses navigate complex regulatory landscapes by implementing secure, transparent, and ethical AI and data management practices. 4. End-to-End Consulting: Tailored advisory services that guide clients through every step of their data transformation journey. At DataScience Middle East, we pride ourselves on driving digital transformation across various industries by providing innovative, reliable, and highly efficient AI-driven solutions. With our dedicated team and strong partner network, we empower our clients to excel in a rapidly evolving technological landscape.
