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Google Apm Jobs (NOW HIRING)

Palnar

SRE Architect@ 100% Remote Role

$58.25 - $77.50/hr

... AWS), Microsoft Azure, or Google Cloud Platform (GCP) • Experience with container and ... APM tools and IaC certification is preferred.

Saim Technologies

Experience with serverless observability for AWS Lambda and Google Cloud Run. Knowledge of Application Performance Monitoring (APM) and distributed systems. Experience configuring OTLP receivers ...

Algo Soft Solutions LLC

Reporting Developer

Ellicott City, MD · On-site

$47 - $64.50/hr

Required Skills & Qualifications · Hands-on experience with Datadog (dashboards, monitors, APM ... Nice-to-Have · Experience with cloud platforms (AWS/Azure/Google Cloud Platform) monitoring ...

New

RAKS Group LLC

Sr Java Developer

Los Angeles, CA · On-site

$61.75 - $78.75/hr

Experience as an Google SRE * Hands on Able and willing to write welldocumented high performance ... Experience with one or more APM frameworks with a solid understanding of integration with OAuth2 ...

Accord Technologies Inc.

ServiceNow Architect

Charlotte, NC · On-site

$69.50 - $87.75/hr

Architect, design, configure, and implement ServiceNow modules including CMDB, SPM, SAM, APM/EA ... Experience with cloud platforms ( AWS, Azure, Google Cloud) integration. * Familiarity with ...

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$69.5K

How much do google apm jobs pay per year?

As of Aug 12, 2026, the average yearly pay for google apm in the United States is $48,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $48,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Google Associate Product Managers (APMs) when working on cross-functional teams?

As a Google APM, one common challenge is aligning diverse teams—such as engineering, design, marketing, and sales—toward a shared product vision. Each group may have different priorities and communication styles, requiring APMs to bridge gaps, foster collaboration, and manage conflicting interests. Developing strong stakeholder management and negotiation skills is essential, as is the ability to synthesize feedback and keep the project moving forward. Navigating these dynamics helps APMs grow quickly and prepares them for more senior product leadership roles.

What is a Google Associate Product Manager (APM)?

A Google Associate Product Manager (APM) is an entry-level product management role at Google designed for recent graduates or early-career professionals. The APM program gives participants hands-on experience in managing products, collaborating with cross-functional teams, and building new features or tools at scale. APMs rotate through different teams, receive mentorship, and have opportunities for rapid growth within the company. The program is highly competitive and intended to cultivate future product leaders at Google.

What are the key skills and qualifications needed to thrive as a Google Associate Product Manager (APM), and why are they important?

To thrive as a Google Associate Product Manager (APM), you need strong analytical abilities, problem-solving skills, and a background in computer science or a related field, often evidenced by a bachelor’s degree. Familiarity with product management tools, agile development methodologies, and data analysis platforms like SQL or Google Analytics is highly beneficial. Outstanding communication, leadership, and collaboration skills help APMs align teams and drive product vision forward. These competencies are crucial for effectively managing products, working across cross-functional teams, and delivering impactful user experiences in a fast-paced tech environment.
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What states have the most Google Apm jobs? States with the most job openings for Google Apm jobs include:
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Google Apm jobs near you
Infographic showing various Google Apm job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 8% Part Time, and 5% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $48,396 per year, or $23.3 per hour.

Sr. Performance Test Engineer

USM Business Systems

Denver, CO • On-site

Other

Posted yesterday

New

Job description

Job Overview
We are seeking an experienced Sr. Performance Test Engineer to join an Agile engineering team responsible for developing and enhancing enterprise healthcare applications. The ideal candidate will bring strong expertise in performance testing, LoadRunner, Google Cloud Platform, workload modeling, performance tuning, APM, and CI/CD integration.
This role requires a technically strong and confident professional who can lead performance engineering initiatives, work closely with cross-functional teams, engage directly with clients, and take ownership of critical performance issues and escalations.
Key Responsibilities
Design and execute performance, load, stress, scalability, and endurance testing strategies for enterprise applications.
Develop realistic workload models and performance test scenarios based on business requirements and production usage patterns.
Create and execute complex performance test scripts using LoadRunner or equivalent enterprise performance testing tools.
Analyze application, database, infrastructure, and cloud performance to identify bottlenecks and scalability issues.
Work extensively with Google Cloud Platform (Google Cloud Platform) environments and evaluate application performance across services such as GKE, Cloud Run, Compute Engine, and Pub/Sub.
Perform performance tuning across application, database, infrastructure, and cloud layers.
Utilize APM and observability tools such as Dynatrace, AppDynamics, Google Cloud Monitoring/Stackdriver, or similar platforms for performance analysis and root-cause identification.
Integrate performance testing into CI/CD pipelines and support continuous performance validation throughout the SDLC.
Analyze performance test results, identify trends, and provide actionable recommendations for optimization.
Lead performance war rooms, critical incident discussions, and performance review sessions.
Collaborate with development, DevOps, architecture, database, and infrastructure teams to resolve complex performance issues.
Communicate technical findings and recommendations effectively to clients, leadership, and engineering teams.
Challenge assumptions and drive data-driven decisions related to application performance and scalability.
Mentor team members and drive accountability across performance engineering initiatives.

Mandatory Skills & Qualifications


10+ years of experience in Performance Testing, Performance Engineering, or a related field.
Strong hands-on experience with LoadRunner or equivalent enterprise performance testing tools.
Strong experience with Google Cloud Platform (Google Cloud Platform).
Understanding of cloud architecture, scalability, capacity planning, and performance optimization.
Deep expertise in workload modeling and performance analysis.
Strong understanding of performance tuning across application, database, infrastructure, and cloud environments.
Hands-on experience with APM tools such as Dynatrace, AppDynamics, Google Cloud Monitoring/Stackdriver, or similar.
Experience integrating performance testing into CI/CD pipelines.
Strong scripting, troubleshooting, analytical, and problem-solving skills.
Ability to interpret performance metrics and translate findings into actionable recommendations.
Exposure to AI/ML applications in performance testing, including predictive analytics, anomaly detection, and intelligent workload modeling.

Leadership & Client-Facing Expectations


Highly articulate, confident, and effective communicator.
Proven ability to lead performance war rooms and critical incident discussions.
Strong experience working directly with clients, handling escalations, and conducting performance reviews.
Ability to challenge technical assumptions and promote data-driven decision-making.
Demonstrated ability to lead teams, influence stakeholders, and drive accountability.
Experience working with distributed onshore/offshore teams.

Nice-to-Have Skills
Experience with JMeter, Gatling, or k6.
Knowledge of Docker and Kubernetes.
Experience with Google Cloud Platform observability and monitoring tools.
Exposure to AI-powered performance testing tools and platforms.
Experience with healthcare applications or enterprise SaaS platforms.
Strong understanding of modern SDLC and Agile methodologies.

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