Senior Technical Lead

As a SAS Infrastructure Support Engineer, you will be responsible for the administration, support, monitoring, maintenance, and optimization of SAS platforms and infrastructure. You will ensure the availability, performance, security, and reliability of SAS environments that support enterprise analytics, reporting, data management, and business intelligence workloads. The role involves infrastructure administration, incident management, platform upgrades, performance tuning, and collaboration with application, database, server, and cloud teams to maintain a stable and scalable analytics ecosystem., Administer, monitor, and support SAS Platform environments including development, testing, and production.Manage SAS server infrastructure, services, and platform components to ensure high availability and system stability.Perform installation, configuration, upgrades, patching, and migration activities for SAS applications and infrastructure.Troubleshoot platform outages, performance issues, connectivity failures, and system-related incidents.Monitor resource utilization, job execution, batch processing, and system performance.Support user access management, authentication, authorization, and security configurations.Collaborate with application, database, network, and infrastructure teams to resolve platform-related issues.Perform capacity planning, performance tuning, and platform optimization activities.Manage incidents, service requests, changes, and problem records through ServiceNow in accordance with ITIL processes.Develop and maintain operational documentation, installation guides, support procedures, and knowledge articles.Support backup, recovery, disaster recovery, and business continuity processes.Participate in platform modernization, automation, and cloud migration initiatives.Provide on-call support and assist with major incident management when required.

• SAS 9.x Platform
• SAS Viya
• SAS Metadata Server
• SAS Object Spawner
• SAS Web Applications
• SAS Mid-Tier Components
• SAS Workspace Servers
• SAS Compute Servers
• Experience with SAS environment installation, configuration, upgrades, and platform maintenance.
• Knowledge of SAS security administration, user management, and authentication mechanisms.

Infrastructure & Operating Systems

• Strong experience with:
• Linux Administration (RHEL/CentOS)
• Windows Server Administration
• Virtualized Environments (VMware)
• Understanding of:
• Server Management
• Storage Administration
• Networking Fundamentals
• Load Balancing
• High Availability Configurations

Database Skills

• Experience working with:
• Oracle Database
• SQL Server
• PostgreSQL
• MySQL
• Understanding of database connectivity, performance tuning, and troubleshooting.

Monitoring & Performance Management

• Experience using monitoring and observability tools such as:
• Dynatrace
• Splunk
• Grafana
• Prometheus
• SAS Environment Manager
• Ability to analyze logs, identify bottlenecks, and perform root cause analysis.

Cloud & Automation

• Exposure to:
• AWS
• Azure
• Kubernetes
• Docker
• Experience with automation using:
• Shell Scripting
• Python
• PowerShell
• Knowledge of Infrastructure Automation and DevOps practices is preferred.

ITSM & Service Management

• Experience with:
• ServiceNow
• JIRA
• Confluence
• Strong understanding of:
• Incident Management
• Change Management
• Problem Management
• ITIL Best Practices

Must Have Skill

Base SAS,SAS, Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.3+ years of experience in SAS Infrastructure Administration and Support.Strong troubleshooting, analytical, and problem-solving skills.Experience supporting mission-critical analytics and reporting platforms.Ability to work effectively in global support and delivery environments.Excellent communication and stakeholder management skills.Experience with Agile, DevOps, and Continuous Improvement practices.SAS Administration, Linux Administration, or Cloud certifications are preferred.Familiarity with healthcare, life sciences, manufacturing, financial services, or other regulated industries is desirable.Exposure to cloud-native analytics platforms, AI/ML environments, and data engineering ecosystems is an added advantage.