Senior Performance SDET - AI-Driven Load & Reliability

Ziosk; Plano (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Ziosk, based in Plano, TX, is seeking a Senior Performance SDET to establish and scale AI-driven performance testing as a core engineering capability. This hands-on role blends test automation, performance analysis, coding, coaching, and leadership across engineering, product, IT, and testing teams.

You will design frameworks using Gatling, JMeter, and other tools, integrate tests into Azure DevOps, and use AI-assisted workflows to accelerate test design, maintenance, and reporting while

Qualifications

• 7+ years in software development, SDET, performance testing, or related engineering disciplines.
• 3+ years hands-on performance testing experience, including load, stress, scalability, and reliability validation.
• Experience building automated performance testing frameworks and integrating tests into CI/CD workflows.
• Strong programming or scripting skills in Java, Kotlin, JavaScript, TypeScript, Python, C#, or similar languages.
• Experience using AI-assisted development or testing tools to improve engineering effectiveness.
• Strong communication and collaboration skills.

Responsibilities

• Own the performance testing strategy, standards, and reusable practices across Ziosk products and platforms.
• Define performance objectives, scalability targets, baselines, and release quality gates for key initiatives.
• Drive shift-left performance practices so teams address scalability and reliability risks early.
• Partner with Engineering, Product Owners, and testing teams to turn performance data into clear risk decisions.
• Design, build, and maintain automated performance testing frameworks using Gatling Enterprise and supporting tools.
• Create reusable simulations, test data, load models, and automation assets for APIs, services, and integrated systems.
• Integrate performance tests, quality gates, reporting, and trend analysis into Azure DevOps pipelines and release workflows.
• Use AI tools and agents to accelerate test design, maintenance, optimization, reporting, and coverage expansion.
• Design and execute load, stress, endurance, spike, capacity, and scalability tests using realistic usage patterns.
• Analyze application, API, database, infrastructure, telemetry, logs, and monitoring data to explain performance behavior.
• Investigate latency, throughput, resource utilization, scalability, degradation, and reliability concerns.
• Use AI-assisted analysis to identify trends, anomalies, bottlenecks, likely root causes, and recommended next actions.
• Build dashboards, scorecards, KPIs, and decision-support reporting that connect technical performance to business impact.
• Validate AI-generated findings through evidence-based analysis and partner with teams to confirm improvements.
• Serve as a subject-matter expert for performance testing, performance quality, and AI-assisted performance engineering.
• Mentor engineers and testers on performance methods, tooling, automation, hands-on testing, and AI-enabled workflows.
• Create reusable prompts, agents, workflows, examples, and accelerators that improve team productivity and consistency.
• Promote responsible AI adoption while helping teams improve the way they test, analyze, and release software.

Skills

Performance testing

SDET

CI/CD

API testing

Java

Kotlin

JavaScript/TypeScript

Python

Communication

AI-assisted testing

Tools

Gatling

JMeter

k6

Locust

Gatling Enterprise

Azure DevOps

Grafana

Application Insights

Kibana

Elasticsearch

Prometheus

Datadog

Job description

Ziosk, based in Plano, TX, is seeking a Senior Performance SDET to establish and scale AI-driven performance testing as a core engineering capability. This hands-on role blends test automation, performance analysis, coding, coaching, and leadership across engineering, product, IT, and testing teams.

You will design frameworks using Gatling, JMeter, and other tools, integrate tests into Azure DevOps, and use AI-assisted workflows to accelerate test design, maintenance, and reporting while