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Performance Architect

Job in Westlake, Cuyahoga County, Ohio, 44145, USA
Listing for: Solera Corporation
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Systems Engineer, Data Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Performance architect page is loaded## performance architect locations:
westlake, texastime type:
full time posted on:
posted todayjob requisition :
jr-019294performance architect / westlakewho we aresolera is a global leader in data and software services that strives to transform every touchpoint of the vehicle lifecycle into a connected digital experience. In addition, we provide products and services to protect life’s other most important assets: our homes and digital identities. Today, solera processes over 300 million digital transactions annually for approximately 235,000 partners and customers in more than 90 countries.

Our 6,500 team members foster an uncommon, innovative culture and are dedicated to successfully bringing the future to bear today through cognitive answers, insights, algorithms, and automation. For more information, please visit  role this role is for a performance architect who leads the design, development, and delivery of performance test frameworks for our next generation software platform (computer vision, machine learning, sensor fusion, coaching workflows, reporting, alert management engines, high accuracy vehicle event analysis engines.)

the successful candidate will provide technical leadership as part of the software qa team and is accountable for all aspects of the qa process. This position requires solid experience testing n-tier application services and data platform within an agile development environment. Also, understands the database well.what you’ll do
· with a performance lens, architect and guide the design, development, and maintenance of tools, test ecosystems, and automation frameworks for current and next‑gen platforms.
· collaborate with product management, sw engineering, devops, qa, and other technical teams in release planning and coordination
· build a parametrized, reusable, scalable, and maintainable performance testing ecosystem. Architect and govern a scalable, multi‑platform performance engineering ecosystem.
· implement data strategies that enable validating applications under test at scale and under real-world loads.
· implement efficient strategies to performance test all application layers (mobile, front end, single user, api, services, database, backend, scalability, etc.).
· take ownership of the performance analysis activity including but not limited to tracing, debugging, troubleshooting, identifying breakpoints or chokepoints, latent issues, etc.
· generate powerful consumable performance results with visualizations that help convey results and provide sufficient data for pinpointing root cause of identified issues
· interpret functional requirements and designs to plan, develop, write, execute, and automate the validation of application performance.
· own and maintain performance environments and coordinate with relevant stakeholders the maintenance of shared tools, infrastructure, and environments.
· provide feedback and influence into the design process to help us build a testable and performant platform, applications, and data models
· architect and implement observability models using distributed tracing, telemetry, and apm integrations. Drive architectural reviews to proactively ensure scalable and performant system design.
· evaluate and select performance tools, frameworks, and emerging technologies, especially ai.
· implement ai/ml-driven approaches to anomaly detection, performance prediction, and test optimization.
· document and communicate performance framework functions, interfaces, performance criteria, test cases, and results to diverse audiences
· influence engineering leadership with architectural recommendations, risk assessments, and performance insights.
· lead or assist in data analysis to determine data health and consistency, or root cause of issues
· train engineers on new tools, methodologies, and technologies. Mentor engineers and help foster their personal and professional growth
· identify areas of improvements and drive/implement solutions to drive efficiency and quality.what you’ll bringmust have:
· bs in computer science or related field or 18+ years of technical experience with deep expertise in performance…
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