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Application Performance Monitoring Jobs in Pasadena, CA

ICANN

Senior Performance Engineer Test

Los Angeles, CA · On-site

The Senior Performance Engineer Test is responsible for defining, implementing, and evolving the ... Monitor application health and establish proactive alerting. * Analyze production telemetry and ...

New

SpaceX

Sr. Application Software Engineer

Hawthorne, CA · On-site

... monitoring • Expertise in profiling and improving application performance • Experience with build systems (Make, Bazel/Pants/Buck, Gradle) and package management tools (pip, npm) • Experience ...

TEKsystems

Senior Network Engineer

Los Angeles, CA

$112K - $153K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... application performance across multiple WAN transports using routing, SLA, QoS, and performance monitoring tools. · Support high-risk SD-WAN cutovers, site migrations, circuit transitions, and ...

TEKsystems

Senior Network Engineer

Los Angeles, CA

$112K - $153K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... application performance across multiple WAN transports using routing, SLA, QoS, and performance monitoring tools. · Support high-risk SD-WAN cutovers, site migrations, circuit transitions, and ...

TEKsystems

Senior Network Engineer

Los Angeles, CA

$70 - $85/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... application performance across multiple WAN transports using routing, SLA, QoS, and performance monitoring tools. · Support high-risk SD-WAN cutovers, site migrations, circuit transitions, and ...

TEKsystems

Senior Network Engineer

Los Angeles, CA

$70 - $85/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... application performance across multiple WAN transports using routing, SLA, QoS, and performance monitoring tools. · Support high-risk SD-WAN cutovers, site migrations, circuit transitions, and ...

Moffitt

APPLICATION ENGINEER III

Long Beach, CA · Hybrid

Monitor application performance and identify areas for improvement. Implement solutions to enhance application scalability, reliability, and user experience. Vendor Coordination & Collaboration:

SpaceX

Application Software Engineer

Hawthorne, CA · On-site +1

$145K - $195K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Deep understanding of testing, continuous integration, build, deployment & monitoring * Expertise in profiling and improving application performance * Experience with build systems (Make, Bazel/Pants ...

SpaceX

Application Software Engineer

Hawthorne, CA · On-site

$145K - $195K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Deep understanding of testing, continuous integration, build, deployment & monitoring * Expertise in profiling and improving application performance * Experience with build systems (Make, Bazel/Pants ...

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All JobsApplication Performance Monitoring JobsApplication Performance Monitoring Jobs in Pasadena, CA

Application Performance Monitoring information

See Pasadena, CA salary details

$55.1K

$120.8K

$165.8K

How much do application performance monitoring jobs pay per year?

As of Aug 14, 2026, the average yearly pay for application performance monitoring in Pasadena, CA is $120,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,600.00 and $147,300.00 per year, depending on experience, location, and employer.

What is the difference between Application Performance Monitoring vs Software Developer?

AspectApplication Performance MonitoringSoftware Developer
Primary FocusMonitoring and optimizing application performance and user experienceDesigning, coding, and maintaining software applications
Required SkillsPerformance analysis, troubleshooting, monitoring toolsProgramming languages, software design, problem-solving
Work EnvironmentIT teams, operations, DevOpsDevelopment teams, coding environments
CertificationsAPM tools certifications, ITIL, cloud certificationsProgramming certifications, computer science degrees

Application Performance Monitoring professionals focus on ensuring applications run smoothly by tracking performance metrics, while Software Developers create and improve the software itself. Both roles are essential in the software lifecycle but serve different functions within the tech industry.

What are the key skills and qualifications needed to thrive in application performance monitoring, and why are they important?

To excel in Application Performance Monitoring (APM), you need a solid understanding of software development, network infrastructure, and performance analytics, often supported by a degree in computer science or related fields. Familiarity with APM tools like New Relic, AppDynamics, or Dynatrace, as well as experience with logging, tracing, and monitoring systems, is typically required. Strong problem-solving skills, attention to detail, and effective communication help professionals quickly diagnose issues and collaborate with development teams. These capabilities are essential to ensure optimal application performance, minimize downtime, and deliver a seamless user experience.

How does an application performance monitoring specialist typically collaborate with development and operations teams to resolve performance issues?

Application Performance Monitoring (APM) specialists play a key role in bridging the gap between development and operations teams. They monitor application health, analyze data from APM tools, and proactively identify performance bottlenecks. When issues arise, they work closely with developers to pinpoint code-level problems and with operations to address infrastructure-related concerns, often facilitating cross-team meetings to ensure rapid resolution. This collaborative approach is essential for maintaining optimal application performance and delivering a seamless user experience.

What is application performance monitoring?

Application Performance Monitoring (APM) refers to the process of tracking and managing the performance and availability of software applications. APM tools help organizations detect, diagnose, and resolve issues that can affect the user experience, such as slow response times or application crashes. By monitoring key metrics like response time, error rates, and resource usage, APM solutions enable IT teams to proactively address performance problems and ensure applications run smoothly. This is essential for maintaining high levels of user satisfaction and meeting business goals.

What are popular job titles related to Application Performance Monitoring jobs in Pasadena, CA?

For Application Performance Monitoring jobs in Pasadena, CA, the most frequently searched job titles are:

What job categories do people searching Application Performance Monitoring jobs in Pasadena, CA look for?

The top searched job categories for Application Performance Monitoring jobs in Pasadena, CA are:

What cities near Pasadena, CA are hiring for Application Performance Monitoring jobs?

Cities near Pasadena, CA with the most Application Performance Monitoring job openings:

Application Performance Monitoring jobs near you
Infographic showing various Application Performance Monitoring job openings in Pasadena, CA as of August 2026, with employment types broken down into 60% Full Time, 24% Part Time, and 16% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $120,750 per year, or $58.1 per hour.

Senior Open Telemetry Instrumentation Engineer

Prophecy Technologies

Los Angeles, CA • On-site

Full-time

Posted 9 days ago

Job description

Role Overview:
The Senior Open Telemetry (OTel) Instrumentation Engineer will be responsible for end-to-end instrumentation of SaaS products, ensuring robust observability across multi-tenant surfaces and preventing data leakage. This role involves managing OTel Collector fleets across diverse cloud environments (AWS, GCP, Azure), gathering network telemetry, and owning Application Performance Monitoring (APM) instrumentation. The engineer will also build and maintain internal instrumentation libraries, drive the adoption of OTel semantic conventions, and collaborate on telemetry schemas for AIOps and ML models.
Key Responsibilities:
  • Instrument SaaS products utilizing OTel SDKs (Python, Node.js, Java, Go) to ensure spans, metrics, and structured logs are emitted at appropriate granularity.
  • Define and enforce attribute naming conventions aligned strictly with OTel semantic standards.
  • Instrument multi-tenant surfaces to guarantee robust tenant-level observability while preventing cross-tenant data leakage.
  • Deploy and maintain the OTel Collector fleet across AWS, GCP, and Azure, including receiver configurations, processor pipelines, and exporter routing.
  • Instrument serverless (Lambda, Cloud Run) and container runtimes (EKS, GKE, AKS) utilizing auto-instrumentation where feasible.
  • Collect and normalize cloud provider metrics (CloudWatch, Cloud Monitoring, Azure Monitor) via OTel receiver plugins.
  • Gather network flow data (sFlow, NetFlow/IPFIX), SNMP traps, and BGP state via OTel-native and bridged receivers.
  • Correlate network events with application traces using consistent trace-context propagation across network boundaries.
  • Partner with NetOps to define the MELT (Metrics, Events, Logs, Traces) strategy for on-prem, SD-WAN, and cloud interconnect segments.
  • Own Application Performance Monitoring (APM) instrumentation, including distributed tracing, custom span attributes, database query capture, and error fingerprinting.
  • Instrument async workloads (Kafka, SQS, Celery) ensuring W3C Trace Context propagation across message boundaries.
  • Define and instrument Service Level Indicators (SLIs) and Service Level Objectives (SLOs) queryable directly from the Lakehouse.
  • Build and maintain internal instrumentation libraries and language-specific wrappers that encode organizational conventions.
  • Author and review instrumentation RFCs while driving the adoption of OTel semantic conventions across all engineering teams.
  • Collaborate with the AIOps ML team to ensure telemetry schemas meet feature engineering and ML model requirements.
  • Operate the Collector pipeline at scale, managing backpressure handling, sampling strategies, and cardinality budgets.

Required Skills:
  • Strong expertise in OpenTelemetry (SDKs, APIs, Collector, OTLP).
  • Proficiency in distributed tracing, metrics, and logging principles (opentelemetry.io).
  • Experience with instrumentation across languages including Java, Python, Go, Node.js, and .NET.

Qualifications:
  • Senior-level experience in instrumentation engineering.

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