Performance Testing - Performance Engineer

Position: Performance Testing - ALL   Performance Engineer
120111-1

Job Title:

Technical Test Lead | Performance Testing | Performance Testing - ALL Performance Engineer
Work Location & Reporting Address:
Denver, CO 80231 (Onsite. Will consider candidates willing to relocate to client s location)
Contract duration: 6
Target

Start Date:

25 May 2026
Does this position require Visa independent candidates only? Yes

Must Have

Skills:

Jmeter
Blaze Meter
K6
AI assisted engineering practices

Nice to Have

Skills:

CI/CD
Python
Java
Groovy
Shell scripting

Detailed

Job Description:

Client is seeking a highly skilled Performance Engineer with experience 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.
The ideal candidate combines deep expertise in traditional performance engineering practices with hands-on use of AI/ML-driven tools, automation, and analytics to improve test design, workload modeling, anomaly detection, root cause analysis, capacity forecasting, and continuous optimization.

Key Responsibilities
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:
1. Test scenario generation
2. Workload modeling
3. Synthetic data generation
4. Test script creation and maintenance
5. Anomaly detection
6. Bottleneck identification
7. Root cause analysis
8. Predictive capacity planning
Partner with development, QA, SRE, Dev Ops, 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.

Required Qualifications
8+ years of experience in performance testing/performance engineering.
Strong experience with performance testing tools such as:
JMeter
K6
Blaze Meter
Hands-on experience with AI-assisted or AI-powered engineering tools used in performance analysis, test automation, observability, or operational intelligence.
Strong understanding of:
1. System architecture
2. Distributed systems
3. Microservices
4. APIs
5. Databases
6. Caching
7. Messaging systems
8. 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:
1. Datadog
2. Splunk
3. Grafana
4. App Dynamics
Familiarity with CI/CD and Dev Ops tools
Strong analytical, troubleshooting, and communication skills.

Minimum Years of

Experience:

10+ years

Certifications Needed:
None

Top 3 responsibilities you would expect the Subcon to shoulder and execute:

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.