
At Sytac, we build high-performing engineering teams for leading organizations in the Netherlands and beyond. We combine a pragmatic, people-first culture with strong technical craftsmanship — giving engineers autonomy in real production environments, backed by a consultancy that invests in growth, community, and long-term partnerships.
For one of our large, highly regulated financial services clients, we are looking for a SAS Infrastructure Engineer to strengthen a cloud-based Business Intelligence platform built on SAS 9 and SAS Viya. You’ll work in a DevOps-oriented environment, close to platform and cloud teams, with responsibility for automation, reliability, and compliance with strict banking risk standards.
This is a hands-on infrastructure role with strong ownership over platform lifecycle, security, and operational excellence.
Design, automate, and operate SAS-based BI platforms using SAS 9.4 and SAS Viya
Own installation, upgrades, and day-to-day platform operations across the SAS landscape
Manage the full lifecycle of SAS infrastructure, including release management and upgrades
Administer and harden Red Hat Enterprise Linux systems supporting SAS workloads
Operate and manage container platforms such as GKE and/or AKS
Implement infrastructure-as-code and automation using tools like Terraform and Ansible
Ensure platforms meet enterprise security, compliance, and international banking risk standards
Set up and maintain monitoring, scheduling, backup/restore, and disaster recovery solutions
Collaborate closely with engineers and stakeholders to align technical solutions with business processes
Create and maintain clear technical documentation to support long-term platform sustainability
Work in an Agile / DevOps environment with shared responsibility for reliability and quality
Strong hands-on experience with SAS 9.4 and/or SAS Viya infrastructure and administration
Solid background in Linux system administration (Red Hat Enterprise Linux)
Experience managing Kubernetes platforms (GKE and/or AKS)
Proven experience with automation and infrastructure-as-code
Familiarity with CI/CD pipelines and tooling (e.g. Azure DevOps)
Scripting and programming skills in Python, Shell, and/or PowerShell
Experience with Git or other distributed version-control systems
Good understanding of lifecycle management, release processes, and operational support
Comfortable working in regulated, enterprise-scale environments
Strong collaboration skills and the ability to understand business and platform requirements
Professional working proficiency in English
Experience with enterprise monitoring solutions (e.g. cloud-native monitoring)
Familiarity with CMDB, scheduling, and large-scale platform administration
Background in disaster recovery design and implementation
Experience automating operations of complex software platforms end to end
Experience working in high-performing Agile or Scrum teams
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