Control Systems Engineer Jobs in Portland, OR (NOW HIRING)

Touchmark is seeking a Systems Engineer to support and evolve our enterprise infrastructure across a multi-state environment serving 3,000+ employees. This role is responsible for designing, implementing, and maintaining server, virtualization, and cloud environments while ensuring performance, security, and operational excellence. You will serve as a key technical resource driving infrastructure modernization, automation, and reliability across all locations

• Design, implement, and manage enterprise server infrastructure across distributed sites; support both physical and virtual environments including VMware and cloud-based systems; ensure high availability, performance, and lifecycle management of infrastructure assets
• Lead cloud and hybrid initiatives including Azure infrastructure, migrations, and connectivity; manage identity services (Active Directory, Entra ID), DNS, DHCP, and certificate services; optimize environments for cost, scalability, and reliability
• Strengthen infrastructure security through system hardening, patching, vulnerability management, and HIPAA-aligned controls; support identity governance, access management, and compliance standards across all systems
• Drive monitoring and operational excellence through observability tools, alerting, and incident response; manage backup and disaster recovery strategies including testing, documentation, and RTO/RPO alignment
• Advance automation and efficiency through scripting, configuration management, and Infrastructure-as-Code; maintain accurate documentation, support change management processes, and contribute to long-term technology roadmap planning

• Have 5–7+ years of experience in systems engineering or enterprise infrastructure roles; bring hands-on expertise with Windows Server, Linux, virtualization (VMware/Hyper-V), and Microsoft Azure
• Demonstrate strong experience designing, implementing, and supporting enterprise network infrastructure; understand LAN/WAN architecture across distributed environments; support routing, switching, firewalls, VPNs, and SD-WAN technologies
• Have working knowledge of hybrid network connectivity including site-to-site VPNs, Azure VPN Gateway, ExpressRoute, and secure cloud integration patterns; ensure reliable and secure connectivity between on-prem and cloud environments
• Apply modern network security principles including Zero Trust and SASE; support network segmentation, access controls, and secure traffic flow across systems and users
• Bring strong expertise in identity and access management including Active Directory and Entra ID; understand how identity integrates with network and cloud security models
• Have experience monitoring both systems and network performance using enterprise observability tools; proactively identify latency, throughput, and connectivity issues across infrastructure
• Be skilled in troubleshooting complex infrastructure issues spanning servers, networks, and cloud environments; operate as a Tier 2/3 escalation point and drive root cause resolution
• Have experience supporting compliance-driven environments (HIPAA preferred); understand how infrastructure and network design impacts data security and regulatory requirements
• Bring strong automation capabilities using PowerShell, Python, or similar tools; apply automation to both infrastructure and network operations where applicable
• Communicate effectively across technical and non-technical teams; collaborate with network, cybersecurity, and application teams to deliver reliable, secure, and scalable infrastructure solutions
• Operate with a proactive, ownership-driven mindset; contribute to continuous improvement, documentation, and long-term infrastructure strategy

• Relevant certifications such as Azure Administrator or Solutions Architect, VMware VCP, Security+, CISSP, or ITIL
• Experience in healthcare, senior living, or other regulated environments
• Exposure to containerization (Docker/Kubernetes), endpoint management (Intune), or emerging technologies such as AI/ML infrastructure