Tester Performance Testing Jobs in Colorado (NOW HIRING)

POC: Sam Chavez
ATTENTION ALL SUPPLIERS!!!
READ BEFORE SUBMITTING
• UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions
• Limited to 1 submission per supplier. Please submit your best.
• We prioritize endorsing those with complete and accurate information
• Avoid submitting duplicate profiles. We will Reject/Disqualify immediately.
• Make sure that candidate's interview schedules are updated. Please inform the candidate to keep their lines open.
• Please submit profiles within the max proposed rate.
• Please make sure to TAG the profiles correctly if the candidate has WORKED FOR INFOSYS as a SUBCON or FTE.
MANDATORY: Please include in the resume the candidate's complete & updated contact information (Phone number, Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED.
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
MAX VENDOR RATE: XXX per hour max
Target Start Date: 25 May 2026
Does this position require Visa independent candidates only? Yes
Must Have Skills:
• Jmeter
• BlazeMeter
• 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, 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.
Required Qualifications
• 8+ years of experience in performance testing/performance engineering.
• Strong experience with performance testing tools such as:
• JMeter
• K6
• 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:
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. AppDynamics
• Familiarity with CI/CD and DevOps 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:
Interview Process (Is face to face required?)
• Virtual
Any additional information you would like to share about the project specs/nature of work: