Advisor - SAS & Modern Data Platform Administrator

Job Title: Senior SAS Modern Data Platform Administrator

Company: enGen -enGen global-

Experience Level: 10+ Years

Primary Skills: SAS 9.4 Grid Administration, Linux/Unix, IBM LSF, Python/PySpark, Migration

Shift Timing: 3:00 PM to 12:00 AM

About enGen

• At enGen -enGen global-, we are transforming healthcare through technology. As a premier health tech company, we build, manage, and scale advanced digital platforms, automation, and data solutions that empower healthcare payers and providers. We are looking for top-tier engineering talent to help modernize our enterprise platforms and drive our next-generation data architecture.

Role Summary

• We are seeking a seasoned Senior SAS Administrator with 10+ years of experience who not only possesses deep expertise in SAS 9.4 Grid infrastructure on Linux, but also has hands-on experience migrating legacy SAS jobs to modern data engineering and analytics tools -such as Python, PySpark, and AI/ML pipelines-.
• In this role, you will manage our complex, multi-tier SAS environments while actively participating in our technology modernization roadmap. Operating during our critical evening shift -3:00 PM to 12:00 AM-, you will ensure high availability, robust security configurations -Kerberos-, automated deployments -Ansible/GitLab-, and seamless workload management via IBM LSF.

Key Responsibilities:

• Platform Migration Modernization: Lead and execute the migration of legacy SAS workloads, jobs, and workflows to modern data stacks leveraging Python, PySpark, and AI/ML platforms.
• Grid Administration Architecture: Manage, tune, and maintain enterprise SAS 9.4 Grid architecture, multi-tier/multi-tet servers, and server-tier components.
• Infrastructure Automation CI/CD: Utilize Ansible for configuration management and GitLab for version control, CI/CD pipelines, and infrastructure-as-code practices.
• Workload Job Management: Leverage IBM Spectrum LSF and LSF Flow Manager to schedule, monitor, and optimize high-volume workload distribution.
• Security Access Control: Manage enterprise security protocols, including Kerberos authentication integration within Linux and grid environments.
• Maintece Operations: Perform routine system updates, license renewals, hotfix applications, and manage enterprise backup/disaster recovery methods.
• Production Support Monitoring: Monitor environment health, proactively troubleshoot production issues, and resolve performance bottlenecks across Linux servers and SAS applications.
• Scripting Tooling: Write and maintain advanced Shell scripts and Python code to automate administrative tasks, health checks, and monitoring.
• User Application Support: Support enterprise stakeholders utilizing SAS client tools such as SAS Enterprise Guide -EG-, SAS Management Console -SMC-, and Data Management Studio.

Required Qualifications Technical Skills:

• Experience: 10+ years of dedicated IT experience managing enterprise-scale SAS Grid environments.
• Migration Track Record: Proven, hands-on experience migrating SAS jobs and processes to modern tools/languages -Python, PySpark, AI/ML frameworks-.
• OS Administration: Strong, hands-on Linux/Unix administration is a MUST. Proficient in command-line troubleshooting, performance tuning, and resource monitoring.
• Core SAS Expertise: Deep knowledge of SAS 9.4 Grid Architecture, server-tier components, and mid-tier SAS applications.
• Workload Management: Mandatory hands-on experience with IBM Spectrum LSF and a solid understanding of LSF Flow Manager.
• Modern Tech Stack: Proficiency in Python, PySpark, and Shell Scripting for automation and data pipeline integration. Familiarity with operationalizing AI/ML models in enterprise environments is a strong plus.
• DevOps Automation Tools: Practical experience using Ansible for automation and GitLab for code repository and CI/CD workflows.
• Security: Experience configuring and troubleshooting authentication mechanisms like Kerberos in enterprise Linux/grid landscapes.
• Architecture: Mandatory experience working within multi-tier and multi-tet SAS architectures.
• Client Tools: Experience administering SAS EG, SMC, and DM Studio, alongside robust environment monitoring practices.

Shift Timing:

Shift: 3:00 PM to 12:00 AM -Evening shift to support critical production cycles, maintece windows, and global operational collaboration-.