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Observability Engineer Jobs in Arizona (NOW HIRING)

Futran Tech Solutions Pvt. Ltd.

Overseas Contractor

Phoenix, AZ · On-site

$52.50 - $71.75/hr

Observability Engineer Must Have Experience working in Observability DevOps as an administrator Deep knowledge of Splunk Enterprise Indexers search heads forwarders Managers etc administration and ...

Fullbay

Observability & Operations Engineer

Phoenix, AZ

$69K - $93K/yr

Observability & Operations Engineer About Us: Fullbay is a leading SaaS organization dedicated to providing exceptional products/services to our clients. We are passionate about growth, innovation ...

Fullbay

Observability & Operations Engineer

Phoenix, AZ · On-site

$131K - $161K/yr

Observability & Operations Engineer About Us: At Fullbay, our mission is simple - to create safer roads for our families and yours. As leaders in the heavy-duty repair industry, we power shops with ...

Fullbay

Observability & Operations Engineer

Phoenix, AZ

$69K - $93K/yr

Observability & Operations Engineer About Us: At Fullbay, our mission is simple - to create safer roads for our families and yours. As leaders in the heavy-duty repair industry, we power shops with ...

TECHOAUTH SOLUTIONS LLC

Network Engineer

Phoenix, AZ · Hybrid

We are seeking a Senior Network Engineer with deep expertise in AWS cloud networking, strong SRE principles, and an observability-first mindset. This role focuses on building resilient, scalable, and ...

Redolent, Inc.

AI/ML Engineer

Phoenix, AZ · On-site

Develop and implement deep learning applications and systems for observability data (AIOps). * Integrate with large language models (LLMs) using prompt engineering, fine-tuning, and retrieval ...

Redolent

AI/ML Engineer

Phoenix, AZ

Develop and implement deep learning applications and systems for observability data (AIOps). * Integrate with large language models (LLMs) using prompt engineering, fine-tuning, and retrieval ...

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Observability Engineer information

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How much do observability engineer jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for observability engineer in Arizona is $62.79, according to ZipRecruiter salary data. Most workers in this role earn between $52.28 and $72.12 per hour, depending on experience, location, and employer.

What are the typical responsibilities of an Observability Engineer on a daily basis?

As an Observability Engineer, your daily responsibilities usually include designing and maintaining monitoring and alerting systems, analyzing system logs, and collaborating with development teams to improve service reliability. You'll work regularly with a suite of observability tools to ensure that infrastructure and applications are performing optimally, quickly responding to any incidents or anomalies detected. Additionally, you help establish best practices for instrumentation and metrics collection, often leading initiatives to enhance visibility into complex, distributed systems. The work is a blend of proactive system design and reactive problem-solving, requiring both technical expertise and strong teamwork skills.

What does an Observability Engineer do?

An Observability Engineer is responsible for designing, implementing, and maintaining monitoring, logging, and tracing systems to ensure the health, performance, and reliability of applications and infrastructure. They work with tools like Prometheus, Grafana, OpenTelemetry, and ELK to collect and analyze telemetry data. Their goal is to provide visibility into system behavior, detect and diagnose issues quickly, and improve overall system observability. They collaborate with developers, SREs, and operational teams to create automated and scalable observability solutions.

What are the key skills and qualifications needed to thrive in the Observability Engineer position, and why are they important?

To thrive as an Observability Engineer, you need a solid understanding of monitoring, logging, and tracing systems, as well as expertise in programming, cloud infrastructure, and incident response. Proficiency in tools like Prometheus, Grafana, ELK stack, and familiarity with cloud platforms such as AWS, Azure, or GCP are commonly required, and certifications like AWS Certified DevOps Engineer can be advantageous. Strong analytical thinking, collaborative skills, and effective communication are essential soft skills for diagnosing issues and working across development and operations teams. These competencies are vital for proactively maintaining system reliability, ensuring performance, and resolving complications before they impact business operations.

What are the most commonly searched types of Observability Engineer jobs in Arizona? The most popular types of Observability Engineer jobs in Arizona are:
What are popular job titles related to Observability Engineer jobs in Arizona? For Observability Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Observability Engineer jobs in Arizona look for? The top searched job categories for Observability Engineer jobs in Arizona are:
What cities in Arizona are hiring for Observability Engineer jobs? Cities in Arizona with the most Observability Engineer job openings:
Observability Engineer jobs near you
Infographic showing various Observability Engineer job openings in Arizona as of June 2026, with employment types broken down into 44% Full Time, and 56% Contract. Highlights an 100% In-person job distribution, with an average salary of $130,603 per year, or $62.8 per hour.

Reporting & Observability Engineer

Techvilla Solutions

Chandler, AZ

$56.25 - $74.50/hr

Full-time

Posted 12 hours ago

Job description

We are seeking an experienced Reporting & Observability Engineer with strong expertise in Grafana to design, develop, and support enterprise dashboards and reporting solutions. The ideal candidate will transform operational, infrastructure, and application data into actionable insights for technology and business stakeholders within a large-scale enterprise environment.

Roles and Responsibilities

Design, develop, and maintain interactive dashboards and reports using Grafana.
Integrate Grafana with multiple enterprise data sources such as Prometheus, Elasticsearch, Splunk, SQL databases, and other monitoring platforms.
Build operational, infrastructure, application performance, and compliance dashboards.
Develop real-time and historical reporting solutions for IT Operations, SRE, and Platform Engineering teams.
Implement monitoring alerts, thresholds, SLA/SLO dashboards, and KPI tracking.
Collaborate with business and technical stakeholders to gather reporting and visualization requirements.
Optimize dashboard usability, performance, scalability, and data accuracy.
Troubleshoot reporting issues, data inconsistencies, and dashboard performance bottlenecks.
Automate dashboard provisioning, updates, and reporting workflows where applicable.
Ensure proper access control, security standards, and role-based permissions for dashboards and reports.
Document dashboard architecture, data sources, reporting standards, and operational procedures.

Required Skills

6+ years of experience in Reporting, Monitoring, Observability, or Platform Engineering.
Strong hands-on expertise in Grafana dashboard development and administration.
Experience integrating Grafana with Prometheus, Elasticsearch, Splunk, SQL databases, or equivalent data sources.
Strong understanding of observability concepts including metrics, logs, traces, and time-series data.
Proficiency in SQL, PromQL, and query optimization techniques.
Experience designing enterprise-grade visualization and reporting solutions.
Knowledge of monitoring frameworks, alerting mechanisms, and SLA/SLO reporting.
Working knowledge of Linux systems and enterprise infrastructure environments.
Experience supporting IT Operations, SRE, Cloud, or Platform teams.
Understanding of security, authentication, and role-based access control (RBAC).

Preferred Qualifications

Experience with cloud platforms such as AWS, Azure, or GCP.
Familiarity with DevOps and Infrastructure as Code (IaC) practices.
Exposure to Kubernetes, Docker, or container monitoring solutions.
Knowledge of CI/CD pipelines and automation tools.
Strong analytical, troubleshooting, and communication skills.

Education

Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.

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