Performance Engineer, Information technology

ServiceLink•Plano, TX

2d•$100,000 - $130,000•Hybrid

About The Position

ServiceLink is seeking a hands-on Performance Engineer who owns our performance testing discipline from strategy through execution. Our platform runs on Microsoft Azure, and our engineering teams ship continuously — this role ensures every major release is validated for scale, reliability, and speed before it reaches production. You are the subject-matter authority on performance engineering across the organization. That means owning the load test framework, driving VuGen script quality, running LoadRunner Controller and Enterprise test cycles, and translating results into engineering action. You'll also embed performance validation into CI/CD pipelines and mentor the engineers around you. Success here looks like every critical user journey having a published performance baseline, engineering teams that trust the data, and a release process where performance is never an afterthought. ServiceLink is modernizing the mortgage services industry through AI-accelerated engineering, intelligent automation, and next-generation software delivery practices. We empower the nation's top lenders and financial institutions with advanced technology, data-driven insights, and high-velocity product development models. We're not just evolving legacy workflows — we're redefining how software is designed, built, tested, and deployed. Generative AI, autonomous systems, and continuous delivery are core to how we operate. Innovation isn't optional here — it's the expectation. If you're passionate about transforming engineering organizations and operationalizing performance engineering at enterprise scale, you'll thrive at ServiceLink. This is a hybrid role, and will be required to work in-office at our Plano, TX office at least 3 days per week. Candidates must be located within reasonable commuting distance of Plano, TX and be willing to work in-office on a regular basis. Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future.

Requirements

3+ years in performance engineering, load testing, and performance analysis for large-scale enterprise and cloud-native applications
Expert-level proficiency in Micro Focus LoadRunner and VuGen — protocol selection, C-based scripting, manual and automatic correlation, parameterization, and transaction modeling
Deep VuGen scripting experience across HTTP/HTML, TruClient, Web Services (SOAP/REST), SAP GUI, and multi-protocol scenarios
Hands-on experience with LoadRunner Controller and LoadRunner Enterprise — scenario design, Vuser scheduling, load generator management, and real-time monitoring integration
Strong LoadRunner Analysis proficiency — percentile reporting, graph correlation, transaction breakdown, and server-side resource analysis
Demonstrated ability to architect a performance test framework from scratch — script libraries, data management, and execution orchestration
Experience integrating performance tests into CI/CD pipelines (Azure DevOps, GitHub Actions) with automated quality gates
Strong Azure platform knowledge: AKS, App Services, Event Hubs, Azure SQL, and managed services in a production context
Solid understanding of distributed systems, microservices, and API gateway behavior as it relates to performance characteristics

Nice To Haves

LoadRunner Certified Professional or equivalent Micro Focus / OpenText certification
Experience with complementary open-source load testing tools — Apache JMeter, Gatling, or k6 — for hybrid or pipeline-embedded execution
Familiarity with Azure Load Testing and BlazeMeter for cloud-based, geographically distributed load injection
Experience with Gravitee API Gateway performance testing — rate limiting validation, traffic shaping, and API-layer load scenarios
Familiarity with chaos engineering practices (Azure Chaos Studio, Litmus) combined with load testing for resilience validation

Responsibilities

Define and own the enterprise performance engineering strategy, methodology, and governance framework across all platforms and engineering squads
Establish performance testing standards, VuGen scripting guidelines, and test design patterns for distributed, microservices-based, and cloud-native applications
Serve as the primary technical authority on performance engineering — advising architects, developers, and SREs on non-functional requirements, performance budgets, and capacity planning
Build and lead a center of excellence for performance testing, mentoring and upskilling engineers in load test design, VuGen scripting, and results analysis
Collaborate with product and engineering leadership to align performance benchmarks with business SLAs and user experience targets
Architect and implement end-to-end performance test strategies: load testing, stress testing, soak/endurance testing, spike testing, and capacity modeling
Design, develop, and maintain advanced VuGen scripts using C-based scripting for a wide range of protocols: HTTP/HTML with full manual and automatic correlation, Web Services — REST and SOAP with parameterization and dynamic token handling, TruClient for rich browser-based and single-page applications, SAP GUI, Citrix, Java over HTTP, and multi-protocol hybrid scenarios
Build reusable, parameterized, and correlation-ready VuGen scripts that accurately simulate complex user journeys and multi-step business workflows
Configure and manage LoadRunner Controller scenarios — Vuser groups, pacing, think times, rendezvous points, and runtime settings for realistic load simulation
Execute and monitor test runs using LoadRunner Controller and LoadRunner Enterprise (formerly Performance Center), managing on-premises and Azure-hosted load generators
Leverage Azure Load Testing and LoadRunner Cloud for elastic, scalable load injection where applicable
Conduct deep-dive performance analysis using LoadRunner Analysis, correlating application-level metrics with infrastructure telemetry to pinpoint bottlenecks
Analyze and interpret key performance indicators: response time (percentile distributions), throughput (TPS/RPS), concurrent user capacity, error rates, and resource utilization
Produce executive and engineering-level performance test reports with clear findings, trend analysis, risk assessments, and prioritized remediation recommendations
Establish and maintain performance baselines and regression thresholds for critical user journeys; track performance trends across release cycles
Collaborate with development, DBA, and infrastructure teams to resolve performance defects — covering application code, database query plans, API gateway configuration, caching strategies, and infrastructure sizing
Integrate LoadRunner and complementary tools into CI/CD pipelines (Azure DevOps, GitHub Actions) with automated quality gates and pass/fail reporting
Define quality gates and automated pass/fail criteria based on SLA thresholds, baseline regression limits, and NFR targets
Champion a shift-left performance culture — embedding NFR reviews and early-stage load testing into sprint ceremonies and architecture reviews
Develop and maintain performance test environments, data sets, and synthetic load profiles that accurately represent production traffic patterns
Work closely with SRE teams to align performance test findings with SLI/SLO frameworks, error budgets, and capacity planning models
Validate performance of Azure-hosted services: AKS workloads, App Services, API Management (Gravitee), event-driven pipelines (Event Hubs), and Temporal-orchestrated workflows
Partner with DBA teams to validate PostgreSQL and Azure SQL performance under simulated production load — query plans, connection pooling, and replication lag