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Key skills for this role
We are searching for a deep Citrix expert — someone who has lived and breathed Citrix for years, knows the logon process inside and out, and gets genuinely excited about finding the hidden cause of a 30-second login when it should be 8.
As our Expert Systems Engineer , you will be the technical anchor of our Citrix Customer Experience team, responsible for the most complex performance investigations, the development of our diagnostic methodology, and the technical mentorship of the broader team.
You will work directly with data, AI-assisted analysis tools, Wireshark traces, Citrix Director deep dives, Power BI dashboards, and your own hard-won expertise to identify — and eliminate — the root causes of poor Citrix logon performance across a large and varied customer base.
Your findings will not stay with one customer; you will be the engine that turns individual discoveries into org-wide improvements.
Lead the most complex and ambiguous Citrix logon performance investigations, going beyond surface metrics to identify true root causes across all logon phases: HDX/Session Creation (SCCD), Brokering (NRWD, LPWD), Authentication (CAVD, COVD), GPO Processing (GPVD), Profile Load (PCVD), Drive Mapping (DMVD), and Interactive Session
Perform deep-dive analysis of customer logon data — comparing high-performing and low-performing environments, drilling into subnet-level variations, user-level inconsistencies, and machine-specific outliers to isolate contributing variables
Conduct packet-level analysis using Wireshark to identify network-layer contributors to logon delays — including DNS resolution timeouts, drive mapping failures, proxy/WPAD misbehavior, and ICA session establishment delays
Analyze Azure Log Analytics for error patterns (e.g., 4908 errors, drive mapping failures) and correlate with logon timeline data to build a complete causal picture
Interpret and act on data from Citrix Director, Logic Monitor, Power BI (Citrix All dashboard, GPO dashboard, scatter plots), and other data sources to identify systemic patterns not visible to less experienced engineers
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Leverage AI tools to ingest large volumes of Citrix configuration data, policy exports, and knowledge articles, extracting actionable recommendations and cross-referencing against current customer environments
Serve as the subject matter expert on GPO configuration for Citrix VDA environments — including CTX VDA Configuration settings (SeamlessFlags, LogoffCheckSysModules, USERProcessHandleQuota, and others), Citrix session policies, Windows Component settings (IE, File Explorer, Remote Desktop Services), and security/audit configurations
Identify GPO misconfigurations, overlapping policies, legacy drift, and missing best-practice settings across the customer base, with particular focus on settings that directly impact logon time
Develop and maintain the GPO best practice library and Citrix policy standards that serve as the reference for all customer environments — including both Azure-hosted and Sunrise/on-premises environments
Investigate and resolve complex proxy/WPAD/auto-proxy configuration issues through GPOs and their downstream impact on session and application performance
Review Optimus reports and other automated audit outputs for Citrix and Windows server configuration gaps (IAS app pools, SSRS standards, network configurations) and drive remediation
Analyze and optimize Citrix user profile configurations — including FSLogix container settings, mandatory profiles, local profile management, and profile size bloat — to reduce profile load times (PCVD) across the customer base
Evaluate and tune HDX policy settings for performance — including EDT protocol behavior, virtual channel configurations, and session reliability settings — with a focus on reducing Session Creation Client Duration (SCCD)
Investigate Double Hop scenarios and identify registry-level remediation (e.g., SlowHPCPolling) and architectural improvements to reduce CPU overhead and HDX latency
Assess StoreFront vs. Citrix Workspace App usage across customers and recommend architectural improvements to reduce brokering and session startup times
Design and continuously refine the team's diagnostic playbook — a step-by-step, tool-by-tool guide that enables engineers at all levels to systematically diagnose logon performance issues in a structured, repeatable way
Develop training materials, recorded sessions, and runbooks covering the full diagnostic toolchain: Logic Monitor, Citrix Director, Power BI (Citrix All, GPO dashboard, scatter plot), Azure Log Analytics, Wireshark, Citrix policies, and GPO auditing
Create and maintain a library of "lessons learned" — specific, documented findings from customer investigations that can be evaluated and applied across the entire install base
Mentor Systems Engineers, reviewing their diagnostic approaches, providing guidance on complex cases, and building their technical depth over time
Conduct knowledge-transfer sessions and training surges so that the team's collective expertise grows faster than any individual's
Lead the team's use of AI for large-scale analysis — including ingesting Citrix configuration exports, GPO data, ServiceNow knowledge articles, and public Citrix best practice documentation to generate actionable insights and surface configuration gaps at scale
Develop or guide the development of scripts (PowerShell, Python) to automate GPO auditing, data extraction, and comparison across customer environments
Work with internal tooling teams (e.g., Ashish/team) to refine and productionize AI-based GPO audit capabilities and Citrix policy analysis pipelines
What Success Looks Like
Within 60 days , you have completed a formal assessment of logon performance across the highest-priority customers, produced a ranked list of root causes with specific remediation recommendations, and delivered the first iteration of the team's diagnostic playbook. Within 6 months , multiple customers have measurably improved logon times directly attributable to your analysis and the team's execution, at least two systemic improvements have been propagated across the full install base, and the Systems Engineers on your team are noticeably more capable diagnosticians than when you arrived.
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Full-time
Senior · 5+ years experience
Remote
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