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Observability Engineer Jobs in Arizona (NOW HIRING)

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 ...

DevOps Engineer

Scottsdale, AZ · On-site

$53.25 - $72.75/hr

... Engineer in Scottsdale to join our Engineering team to be part of the creation of the future of ... Observability: OpenTelemetry (OTel) for metrics, logs, and traces; SigNoz as our primary ...

SRE Engineer

Phoenix, AZ · On-site

$56.50 - $75.25/hr

The role requires strong expertise in Core Java , modern observability tools, and hands-on ... Work closely with development, DevOps, infrastructure, and product teams. * Participate in Agile ...

OT Network Engineer

Phoenix, AZ · On-site

$100K - $120K/yr

Job Title: OT Network Engineer (Junior to Senior Levels) Location: Phoenix, AZ (Local Travel ... Implement and maintain monitoring and observability tools. * Support cybersecurity and compliance ...

DevOps Engineer (AIOps)

Tempe, AZ · On-site

$50.50 - $69.25/hr

Improve observability and operational visibility through dashboards, monitoring integrations ... , Platform Engineering, Production Support Engineering, Operational Engineering, Automation ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Data Engineering Manager Design, develop, and maintain scalable, production-grade ELT pipelines ... Enforce data quality through automated testing, validation, and observability frameworks. Manage ...

WHAT WE DO At Relativity, engineers don't just write code. They build the foundational systems that ... Improve system observability through metrics, structured logging, dashboards, and alerting

WHAT WE DO At Relativity, engineers don't just write code. They build the foundational systems that ... Improve system observability through metrics, structured logging, dashboards, and alerting

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OT Network Engineer

Phoenix, AZ · On-site

$100K - $120K/yr

Job Title: OT Network Engineer (Junior to Senior Levels) Location: Phoenix, AZ (Local Travel ... Implement and maintain monitoring and observability tools. * Support cybersecurity and compliance ...

Be Seen First

OT Network Engineer

Phoenix, AZ · On-site

$100K - $120K/yr

Job Title: OT Network Engineer (Junior to Senior Levels) Location: Phoenix, AZ (Local Travel ... Implement and maintain monitoring and observability tools. * Support cybersecurity and compliance ...

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Observability Engineer information

See Arizona salary details

$21

$62

$103

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 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 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.
AI/ML Engineer

Other

Posted 23 days ago


Job description

Job Title: AI/ML Engineer
Location: Phoenix, AZ
Experience Level: 8+ years
Rate:
Job Description:
We are seeking a highly skilled AI/ML Engineer to join our team. The ideal candidate will have extensive experience in designing and developing machine learning algorithms and deep learning applications, particularly for observability data (AIOps). This role requires hands-on experience with time series forecasting, anomaly detection, event classification, and correlation ML algorithms. Additionally, experience in integrating with large language models (LLMs) for effective summarization is essential.
Key Responsibilities:
  • Design and develop machine learning algorithms for time series forecasting, anomaly detection, event classification, and correlation.
  • 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-augmented generation (RAG) techniques.
  • Implement MCP client and server within the Grafana ecosystem or similar platforms.
  • Collaborate with cross-functional teams to ensure seamless integration and deployment of ML models.
  • Lead and mentor a team of engineers, both onshore and offshore.
Required Skills and Experience:
  • Programming Languages: Proficiency in Python and R.
  • ML Frameworks: Experience with TensorFlow, PyTorch, and scikit-learn.
  • Cloud Platforms: Working knowledge of Google Cloud and Azure.
  • Front-End Frameworks/Libraries: Experience with React, Angular, Vue.js, and jQuery.
  • Design Tools: Proficiency in Figma, Adobe XD, or Sketch.
  • Databases: Knowledge of MySQL, MongoDB, and PostgreSQL.
  • Server-Side Languages: Familiarity with Python, Node.js, and Java.
  • Version Control: Experience with Git and other version control systems.
  • Testing: Knowledge of testing frameworks and methodologies.
  • Agile Development: Experience with agile development methodologies.
  • Communication and Collaboration: Strong communication and collaboration skills.
Preferred Qualifications:
  • Experience in AIOps and handling observability data.
  • Proven track record of leading and mentoring engineering teams.
  • Strong problem-solving skills and the ability to work in a fast-paced environment

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About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

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