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Application Performance Monitoring Specialist Jobs

Responsibilities : • Analyze and optimize application performance using Dynatrace and other monitoring tools. • Collaborate with development teams to identify performance bottlenecks and provide ...

The Fleet Monitoring Specialist will work collectively to maintain the EquipmentShare fleet to meet equipment performance and availability requirements, allowing our rental branches and customers to ...

Company Description Karthik J | Resourcing Specialist 5+ years of experience working on performance ... Hands-on experience with performance monitoring tools preferred Experience with diagnostics tools ...

NY · On-site

Monitor and analyse web application performance metrics using monitoring tools and systems * Identify and troubleshoot performance issues, both proactively and reactively, and provide recommendations ...

NY · On-site

Monitor and analyse web application performance metrics using monitoring tools and systems * Identify and troubleshoot performance issues, both proactively and reactively, and provide recommendations ...

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Application Performance Monitoring Specialist information

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$29.5K

$78.9K

$139.5K

How much do application performance monitoring specialist jobs pay per year?

As of Sep 10, 2026, the average yearly pay for application performance monitoring specialist in the United States is $78,940.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $102,000.00 per year, depending on experience, location, and employer.

What does an Application Performance Monitoring Specialist do?

An Application Performance Monitoring (APM) Specialist is responsible for ensuring that software applications run efficiently and reliably by using specialized tools to monitor, analyze, and optimize their performance. They identify bottlenecks, troubleshoot issues, and provide recommendations to improve application speed and user experience. APM Specialists often work closely with development, operations, and QA teams to proactively address performance problems before they impact end-users. Their expertise helps organizations maintain high availability and optimal performance for critical business applications.

What are the key skills and qualifications needed to thrive as an Application Performance Monitoring Specialist?

To thrive as an Application Performance Monitoring Specialist, you need a solid understanding of application architectures, network protocols, and performance metrics, typically supported by a degree in computer science or a related field. Familiarity with APM tools like Dynatrace, AppDynamics, or New Relic, as well as knowledge of scripting languages and cloud platforms, is commonly required. Strong analytical thinking, problem-solving abilities, and effective communication are vital soft skills in this role. These skills ensure timely detection, diagnosis, and resolution of performance issues, enabling optimal application reliability and user satisfaction.

What are some common challenges faced by Application Performance Monitoring Specialists when diagnosing system slowdowns?

Application Performance Monitoring Specialists often encounter challenges such as isolating the root cause of performance issues in complex, distributed systems. Since modern applications involve multiple layers and integrations (like databases, APIs, and cloud services), pinpointing bottlenecks requires careful analysis of monitoring data and collaboration with development and infrastructure teams. Another frequent challenge is ensuring that monitoring tools are properly configured to provide actionable insights without overwhelming teams with unnecessary alerts. Effective communication and a proactive approach to fine-tuning monitoring strategies are essential for success in this role.

What is the difference between Application Performance Monitoring Specialist vs Network Operations Center (NOC) Technician?

AspectApplication Performance Monitoring SpecialistNetwork Operations Center (NOC) Technician
CertificationsAPM tools certifications, ITILCompTIA Network+, Cisco CCNA
Work EnvironmentMonitoring software, cloud platforms, data centersNetwork infrastructure, server rooms, data centers
Industry UsageIT, software, cloud servicesTelecommunications, ISPs, large enterprises
Search/Comparison IntentPerformance monitoring, application optimizationNetwork troubleshooting, infrastructure support

The Application Performance Monitoring Specialist focuses on tracking and optimizing software application performance using specialized tools, primarily in IT and cloud environments. In contrast, the NOC Technician monitors network infrastructure, troubleshooting connectivity issues. Both roles require technical certifications and work in data centers or network environments, but their core responsibilities differ—software performance vs network stability.

What cities are hiring for Application Performance Monitoring Specialist jobs?

Cities with the most Application Performance Monitoring Specialist job openings:

What states have the most Application Performance Monitoring Specialist jobs?

States with the most job openings for Application Performance Monitoring Specialist jobs include:

What are popular job titles related to Application Performance Monitoring Specialist jobs?

For Application Performance Monitoring Specialist jobs, the most frequently searched job titles are:

Infographic showing various Application Performance Monitoring Specialist job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $78,940 per year, or $38 per hour.

Staff GenAI Engineer - Application Performance Monitoring (APM)

New York, NY • On-site

Datadog
Software Development • 1 - 5K employees

$234K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 9 days ago


Datadog rating

9.6

Company rating: 9.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

We're looking for a Staff Software Engineer with deep experience in GenAI/ML to join Datadog's Application Performance Monitoring (APM) team. APM is a product which provides deep visibility into applications, enabling users to identify performance bottlenecks, troubleshoot issues, and optimize services. With distributed tracing, profiling, out-of-the-box dashboards, and seamless correlation with other telemetry data, Datadog APM provides some of the deepest and most structured visibility into the health and performance of applications. This context sets us up for an opportunity to be the world leaders in agentic investigations and incident troubleshooting.
You'll act as a technical leader within the APM group, focused on agentic workflows. You'll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. We're looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You'll Do:
  • Act as a technical leader within the APM organization, driving GenAI/machine learning projects from concept to production.
  • Build and benchmark GenAI/ML models using state-of-the-art techniques.
  • Collaborate with cross-functional teams to build automated investigation and triaging tools.
  • Influence product direction by bringing a strong product mindset to your work, always advocating for the end user.
  • Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction.
  • Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups.

Who You Are:
  • You have a BS/MS/PhD in a scientific field or equivalent experience
  • 10+ years of relevant engineering experience, as well as experience acting as a technical lead
  • Proven track record of leading large-scale GenAI/ML initiatives in a product-driven environment
  • You have significant experience in model deployment, development, training, fine-tuning, or evaluation
  • Ability to drive initiatives across cross-functional teams, and solve ambiguous challenges

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
  • Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development.
  • Have a lot of influence on product direction and impact on the business.
  • Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn
  • Competitive global benefits
  • Continuous professional development

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
The reasonably estimated yearly salary for this role at Datadog is:
$234,000-$234,000 USD
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

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