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Observability Engineer Jobs in Arizona (NOW HIRING)

Observability Strategy & Platform Hands-On Build-Out. * Define and execute the observability ... Drive adoption of SRE principles across the firm: SLI/SLO definition, error budget policy and ...

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 ...

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 ...

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 ...

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 ...

GenAI Engineer - SRE

Phoenix, AZ · On-site

$56.50 - $75.25/hr

... observability, code quality, and developer productivity across enterprise platforms. The role ... requires close collaboration with SRE teams, platform engineering teams, application development ...

Staff Engineer II Location: Block 23 What you'll do: The Staff Engineer II - Monitoring ... Design, implement, configure, administer, and support enterprise monitoring and observability ...

This role emphasizes reliability, control, observability, data quality, and governance for agentic ... Data Engineering and Integration Design and maintain data pipelines connecting distributed ...

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Observability Engineer information

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How much do observability engineer jobs pay per hour?

As of Jul 23, 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 engineers make $500,000 a year?

Senior-level engineers in specialized fields such as software engineering, data engineering, or DevOps can earn $500,000 or more annually, especially with experience, advanced skills, and working at large tech companies or in high-demand industries. Compensation often includes base salary, bonuses, and stock options, and reaching this level typically requires extensive expertise and leadership responsibilities.

What is the salary of observability engineer?

The salary of an observability engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in monitoring tools like Prometheus, Grafana, or Elasticsearch may command higher salaries.

What does an observability engineer do?

An observability engineer designs, implements, and maintains systems that monitor and analyze software performance, reliability, and security. They work with tools like monitoring dashboards, log management, and alerting systems to ensure applications run smoothly and issues are quickly identified. Strong skills in scripting, cloud environments, and understanding of system architecture are essential for this role.

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 engineers make 300,000 a year?

Senior-level observability engineers, especially those with expertise in cloud infrastructure, monitoring tools, and automation, can earn $300,000 or more annually. High compensation is often associated with extensive experience, specialized skills, and working in large tech companies or in leadership roles.

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:
Infographic showing various Observability Engineer job openings in Arizona as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $130,603 per year, or $62.8 per hour.
Staff Observability Platform Engineer (SRE)

Staff Observability Platform Engineer (SRE)

CVS Health

Scottsdale, AZ

$57.50 - $76.25/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,294 frontline employees who took The Breakroom Quiz

80th of 104 rated pharmacies


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

POSITION SUMMARY

CVS Health PBM is looking for hands-on, passionate people who want to join a high energy and growing team, who want to be on the forefront of digital innovation that aims to reinvent what a pharmacy and a health care company can be in the digital world.

As aLead Platform Reliability Engineer, you will design and implement metrics and observability frameworks with a strong focus on service level objectives (SLOs), service level indicators (SLIs), error budgets, and cloud infrastructure scaling and capacity estimation.

This individual contributor role is critical to enhancing our monitoring and observability capabilities, while also driving automation initiatives related to quality gates within the release engineering process. You will work closely with crossfunctional teams to ensure the reliability, performance, and scalable growth of our cloudbased systems.

Expectations for the Role:

Metrics Development:Define, implement, and maintain key performance metrics, SLOs, and SLIs to measure system reliability and performance. Ensure alignment with business objectives and operational goals.

Error Budgets:Manage error budgets effectively, collaborating with development teams to balance reliability and feature delivery. Analyze incidents and outages to inform adjustments to error budgets.

Monitoring & Observability:Design and implement comprehensive monitoring solutions to provide real-time visibility into system health. Utilize tools such as Prometheus, Grafana, Loki, Temp and other observability platforms to create dashboards and alerts.

Cloud Infrastructure Scaling:Architect, design, and implement scalable cloud infrastructure capable of supporting multiple business applications, ensuring reliability, performance, and future growth.

Quality Gates Automation:Develop and implement automated quality gates that ensure all releases meet defined reliability and performance standards. Lead the release Devops team to integrate these gates into the CI/CD pipeline.

Incident Management:Assist in incident response efforts by providing insights from metrics and monitoring tools. Conduct post-mortem analyses to identify root causes and recommend preventive measures.

AIOps Insight Automation:Use AI to surface what changed / what's abnormal / next best actionfrom metrics, logs, and traces-minimizing manual dashboard analysis.

AIAccelerated Incident Response:Apply GenAI to speed triage and RCAwith fast signal summarization and guided investigation paths.

AI/LLM Observability & Governance:Monitor AI workloads for quality, safety, cost, latency, reliabilitywith endtoend tracing (request prompt tools output)and secure logging/redaction.

AIBacked Release Quality Gates:Embed AI signal checks into CI/CD to flag SLO risk, latency/error drift, and regression patterns before production release.

REQUIRED QUALIFICATIONS

  • 10+ years of experience in Software Engineering, Platform Engineering, or SRE.
  • 7+ years of experience with observability practices, including SLIs/SLOs/SLAs, alerting, and incident management.
  • 7+ years building production-grade backend services in Java/python.
  • 7+ years implementing and operating OpenTelemetry, including OTLP, semantic conventions, and instrumentation patterns.
  • 7+ years with cloud-native and containerized platforms (Docker, Kubernetes, Argo CD).
  • 7+ years working with public cloud platforms (AWS, GCP, or Azure).
  • 5+ years designing and scaling distributed, highvolume data pipelines.
  • 5+ years working with Grafana OSS or comparable observability backends (e.g., Grafana, Loki, Tempo, Prometheus).
  • 5+ years with relational databases (PostgreSQL, MySQL).

PREFERRED QUALIFICATIONS

  • Excellent analytical skills and the ability to communicate complex technical concepts to non-technical stakeholders
  • Experience with service meshes and networking technologies such as Envoy and Istio
  • Experience integrating or operating commercial observability platforms (Splunk, AppDynamics, etc.)
  • Experience with streaming and data platforms such as Kafka, Pulsar, or similar technologies
  • Familiarity with time-series, NoSQL, or analytical databases (ClickHouse, Bigtable, Cassandra, etc.)
  • Experience with Infrastructure as Code tools such as Terraform or CloudFormation
  • Experience with cost optimization and capacity planning for large-scale cloud infra
  • Experience with chaos engineering, resiliency testing, or fault injection
  • Background in securityaware platform design, including secure servicetoservice communication
  • Experience mentoring senior engineers and influencing platform standards across organizations
  • Strong operational experience supporting 24x7 production systems, including oncall responsibilities
  • Knowledge of security best practices in cloud environments

EDUCATION

Bachelor's degree or equivalent experience (HS diploma + 4 years relevant experience)

Pay Range

The typical pay range for this role is:

$118,450.00 - $236,900.00


This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 08/17/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.


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