Technical Test Lead Performance Testing Performance Testing ALL
Technical Test Lead | Performance Testing | Performance Testing - ALL
Location: Denver, CO 80231 (Onsite. Will consider candidates willing to relocate to clients location)Salary Range: 35 - 40/hr on w2Applicants must be able to work directly for Artech on W2.Introduction
Location: Denver, CO 80231 (Onsite. Will consider candidates willing to relocate to clients location)Salary Range: 35 - 40/hr on w2Applicants must be able to work directly for Artech on W2.Introduction
Our client is seeking a highly skilled Performance Engineer with experience in applying AI across the full performance engineering lifecycle. This role is responsible for ensuring the scalability, reliability, and efficiency of applications, platforms, and services through proactive performance planning, testing, monitoring, analysis, and optimization.
Required Skills & Qualifications- 8 years of experience in performance testing/performance engineering.
- Strong experience with performance testing tools such as JMeter, K6, and BlazeMeter.
- Hands-on experience with AI-assisted or AI-powered engineering tools used in performance analysis, test automation, observability, or operational intelligence.
- Strong understanding of system architecture, distributed systems, microservices, APIs, databases, caching, messaging systems, and cloud-native platforms.
- Experience analyzing performance metrics across application, infrastructure, and database layers.
- Proficiency in one or more scripting/programming languages such as Python, Java, JavaScript, Groovy, or Shell.
- Experience with monitoring/observability tools such as Datadog, Splunk, Grafana, or AppDynamics.
- Familiarity with CI/CD and DevOps tools.
- Strong analytical, troubleshooting, and communication skills.
- Prior work experience at client or in client's Industry.
Applicants must be able to work directly for Artech on W2.
Preferred Skills & Qualifications- CI/CD
- Python
- Java
- Groovy
- Shell scripting
- Design and execute end-to-end performance engineering strategies for web, API, database, cloud, and distributed systems.
- Build and maintain performance test frameworks for load, stress, spike, endurance, and scalability testing.
- Use AI-enabled tools and methods to improve test scenario generation, workload modeling, synthetic data generation, test script creation and maintenance, anomaly detection, bottleneck identification, root cause analysis, and predictive capacity planning.
- Partner with development, QA, SRE, DevOps, product, and architecture teams to define performance requirements and non-functional acceptance criteria.
- Analyze application, infrastructure, database, and network behavior under load and provide actionable optimization recommendations.
- Integrate performance testing into CI/CD pipelines and support shift-left performance practices.
- Leverage observability platforms and AI-assisted analytics to correlate logs, metrics, traces, and events.
- Establish performance baselines, SLAs, SLOs, and KPIs for critical systems.
- Drive continuous improvement in performance engineering processes, tooling, governance, and automation.
- Mentor team members on both classical performance engineering techniques and emerging AI-assisted engineering practices.
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- Collaborative and innovative work environment.
For immediate consideration please click APPLY to begin the screening process with Alex.
