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-.