Performance Test Engineer
Saint Louis, MI · On-site
... PerfMon, DataDog, NewRelic, others are a plus) • 3 plus years of cloud experience (Resiliency, Fail-over, Chaos) • Experience with Splunk • Application Tuning or Performance Engineering ...
Performance Test Engineer
Saint Louis, MI · On-site
... PerfMon, DataDog, NewRelic, others are a plus) • 3 plus years of cloud experience (Resiliency, Fail-over, Chaos) • Experience with Splunk • Application Tuning or Performance Engineering ...
Datadog information
See Shepherd, MI salary details
$12.84 - $14.17
3% of jobs
$14.17 - $15.50
12% of jobs
$15.97 is the 25th percentile. Wages below this are outliers.
$15.50 - $16.83
29% of jobs
The median wage is $17.30 / hr.
$16.83 - $18.16
18% of jobs
$19.20 is the 75th percentile. Wages above this are outliers.
$18.16 - $19.49
17% of jobs
$19.49 - $20.82
9% of jobs
$20.82 - $22.15
3% of jobs
$22.15 - $23.48
5% of jobs
$23.48 - $24.81
2% of jobs
$24.81 - $26.15
1% of jobs
$26.15 - $27.48
1% of jobs
$12
$19
$27
How much do datadog jobs pay per hour?
As of Aug 27, 2026, the average hourly pay for datadog in Shepherd, MI is $19.78, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $19.81 per hour, depending on experience, location, and employer.
What is a Datadog engineer?
A Datadog engineer is a professional who specializes in implementing, configuring, and managing Datadog, a cloud-based monitoring and analytics platform. They are responsible for integrating Datadog with various systems, setting up dashboards, alerts, and metrics to monitor application performance and infrastructure health. Their work helps organizations identify issues, optimize performance, and ensure system reliability. Datadog engineers often collaborate with DevOps, IT, and development teams to provide insights and improve observability across environments.
What are the key skills and qualifications needed to thrive as a Datadog engineer?
To thrive as a Datadog Engineer, you need a solid understanding of cloud infrastructure, monitoring and observability principles, and experience with scripting or programming languages. Familiarity with Datadog’s platform, API integrations, and certifications such as Datadog Certified Technical Specialist are highly valuable. Strong problem-solving skills, attention to detail, and effective communication help you proactively address system issues and collaborate with cross-functional teams. These skills ensure efficient system monitoring, rapid incident response, and reliable service performance in dynamic technology environments.
What are some common challenges faced by Datadog engineers when implementing monitoring solutions for large-scale systems?
Datadog engineers often encounter challenges such as integrating diverse technology stacks, ensuring minimal performance impact, and maintaining data accuracy across high-traffic environments. Large-scale systems can generate vast amounts of telemetry data, so configuring efficient dashboards and alerting without causing alert fatigue is vital. Collaborating closely with development, operations, and security teams is essential to tailor monitoring solutions that provide actionable insights while staying adaptable to evolving system architectures.
What is the difference between Datadog vs Cloud Monitoring Engineer?
| Aspect | Datadog | Cloud Monitoring Engineer |
|---|---|---|
| Primary Role | Monitoring and analytics platform for IT infrastructure and applications | Designing, implementing, and managing cloud monitoring solutions |
| Required Skills | Cloud platforms, monitoring tools, scripting, API integration | Cloud services, monitoring tools, scripting, troubleshooting |
| Certifications | Cloud certifications (AWS, Azure), monitoring tools certifications | Cloud certifications (AWS, Azure), monitoring certifications |
| Work Environment | Using SaaS platform, integrating with various cloud and on-premise systems | Managing cloud infrastructure, configuring monitoring tools, troubleshooting |
While both roles involve cloud monitoring, Datadog focuses on utilizing a specific SaaS platform for analytics and monitoring, whereas a Cloud Monitoring Engineer designs and manages monitoring solutions across cloud environments. The roles often overlap in skills and certifications, but their core responsibilities differ in scope and focus.
What cities near Shepherd, MI are hiring for Datadog jobs?
Cities near Shepherd, MI with the most Datadog job openings:
Full-time
Re-posted 22 days ago
Job description
Overview:
Performance Test Engineer
St. Louis, MI
Description:
Client is looking for an experienced Performance Engineer to join our engineering team and to work with one of the leading financial services organization in the US.
The candidate must have proven IT experience with good understanding of SDLC and performance testing background.
Responsibilities:
• Understands and analyzes performance test requirements
• Defines approach and methodology for performance testing
• Develops performance test script suite
• Executes performance tests, captures and analyzes results
• Assist in other performance engineering activities as needed
• Create and report performance test progress and defects
• Maintains performance script repository
• Should be able to troubleshoot and find RCA for performance issues and recommend to the engineering team
• Coordinate with the engineering team at onsite and offshore
• Report any issues with the client stakeholders and UST leadership
Requirements:
• BS degree or higher in Computer Science or related technical field involving coding
• Excellent communication skills, verbal and written, able to communicate with technical people as well as business and management.
• Expertise in QA methodologies, Test Process and practices.
• At least 8 plus years of experience in IT industry
• 3 plus years of hands-on performance test experience with Jmeter (Jmeter experience is a MUST).
• Experience with AppDynamic (DynaTrace, PerfMon, DataDog, NewRelic, others are a plus)
• 3 plus years of cloud experience (Resiliency, Fail-over, Chaos)
• Experience with Splunk
• Application Tuning or Performance Engineering experience
• Knowledge in CI/CD using Jenkins
Skills:
Developer,Aws,Azure
Performance Test Engineer
St. Louis, MI
Description:
Client is looking for an experienced Performance Engineer to join our engineering team and to work with one of the leading financial services organization in the US.
The candidate must have proven IT experience with good understanding of SDLC and performance testing background.
Responsibilities:
• Understands and analyzes performance test requirements
• Defines approach and methodology for performance testing
• Develops performance test script suite
• Executes performance tests, captures and analyzes results
• Assist in other performance engineering activities as needed
• Create and report performance test progress and defects
• Maintains performance script repository
• Should be able to troubleshoot and find RCA for performance issues and recommend to the engineering team
• Coordinate with the engineering team at onsite and offshore
• Report any issues with the client stakeholders and UST leadership
Requirements:
• BS degree or higher in Computer Science or related technical field involving coding
• Excellent communication skills, verbal and written, able to communicate with technical people as well as business and management.
• Expertise in QA methodologies, Test Process and practices.
• At least 8 plus years of experience in IT industry
• 3 plus years of hands-on performance test experience with Jmeter (Jmeter experience is a MUST).
• Experience with AppDynamic (DynaTrace, PerfMon, DataDog, NewRelic, others are a plus)
• 3 plus years of cloud experience (Resiliency, Fail-over, Chaos)
• Experience with Splunk
• Application Tuning or Performance Engineering experience
• Knowledge in CI/CD using Jenkins
Skills:
Developer,Aws,Azure