1

Observability Engineer Jobs in Arizona (NOW HIRING)

Experience with monitoring, alerting, and observability tools , including Prometheus, Grafana, and ... Collaborate with engineering, infrastructure, security, and business stakeholders to deliver ...

Principal SRE / Hybrid / Tempe

Tempe, AZ · On-site

$55.50 - $73.75/hr

  • Medical

  • Dental

  • Vision

  • PTO

... observability across mission-critical production systems. This is a high-impact principal ... Engineers here work in modern environments built around Terraform infrastructure automation ...

Kubernetes Engineer

Phoenix, AZ · On-site

$56.50 - $75.25/hr

This role is for a hands-on Kubernetes Engineer with deep experience in Kubernetes and OpenShift ... Implement observability stacks using tools such as Prometheus, Grafana, Alertmanager, Splunk, ELK ...

DevOps Engineer (AIOps)

Tempe, AZ · On-site

$50.50 - $69.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Senior Site Reliability Engineer (SRE)

Scottsdale, AZ · On-site

$92K - $203K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Observability & Monitoring * Architect and optimize observability solutions using tools such as ... Partner with engineering, infrastructure, and operations teams to embed SRE best practices, improve ...

Infrastructure Engineer III

Phoenix, AZ · On-site

$103K - $174K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... the broader engineering community through open source, our mission is to power your success ... Manage end-to-end observability solutions, including log aggregation (Splunk), metrics and ...

New

Devops Engineer

Phoenix, AZ · On-site

$52.50 - $71.75/hr

... Engineer, need to have deep expertise in automation, cloud infrastructure, data engineering, and ... observability, and embed resiliency across systems. Should be skilled at supporting cloud-native ...

New

Lead Software Engineer

Tempe, AZ · On-site

$65 - $73/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Support production operations, observability, troubleshooting, and continuous improvement efforts * Improve engineering quality, delivery execution, and overall team effectiveness * Balance ...

As a Senior Python Backend Engineer at AIAEC, you will be a key architect and builder of ChatAEC ... Observability: Implement robust monitoring and distributed tracing using OpenTelemetry to ensure ...

Engineer II

Phoenix, AZ · On-site

$57 - $75.75/hr

Looking for Cloud Ops PaaS Engineer who is proficient in Kubernetes and OpenShift (must have skills) , Has Good knowledge of CI/CD pipeline , Good knowledge of Observability Tools such as ELF, Splunk ...

Python AI Engineer

Phoenix, AZ · On-site

$110K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Create observability and operational feedback loops with OpenTelemetry, Prometheus/Grafana, Docker/Helm, and GitHub Actions * Work closely with product and engineering partners to support multiple ...

Showing results 41-60

Observability Engineer information

See Arizona salary details

$21

$62

$103

How much do observability engineer jobs pay per hour?

As of Aug 14, 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 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 as an observability engineer?

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 August 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.

Full-time

Posted 15 days ago


Job description

Job Title :AI Engineer
Location:Hybrid work schedule at client location (9501 E. Shea Blvd., MC 081, Scottsdale, AZ 85260)
Job Description:
Required Skills & Experience:
• 5+ years of Strong Software Engineering (Python/NodeJS), system design and production service experience.
• 2+ years of Experience with LLMs, prompt engineering, and agent frameworks.
• 2+ years of Experience Practical experience implementing RAG: embeddings, vector DBs and retrieval tuning.
• 2+ years of Experience with Lang Chain patterns and with toolchain telemetry (Langfuse or similar) for prompt/model traceability.
• 5+ years of Experience with Kubernetes, Docker, CI/CD and infrastructure as code experience.
• 2+ years of Experience with Practical experience with Google Cloud Platform services
• 2+ years of Experience with Observability, testing, and security best practices for distributed systems.
• 2+ years of Experience with evaluating and mitigating retrieval/augmentation failures, hallucinations, and leakage risks in RAG systems.
• Familiarity with vendor and open source vector stores and embedding providers.
• Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or ArgoCD).
About the Role:
We are seeking an experienced AIML Engineer to design, build, and operate AI/ML infrastructure and agentic systems. This role involves developing MCP servers and agents, integrating LLMs, and implementing RAG pipelines for production environments.
Key Responsibilities:
• Design, build and operate MCP servers and MCP agents that host, orchestrate and monitor AI/agent workloads.
• Develop agentic AI, prompt engineering patterns, LLM integrations and developer tooling for production use.
• Own deployment, scaling, reliability and cost-efficiency on Kubernetes/Docker and Google Cloud with automated CI/CD
• Design and implement RAG (Retrieval Augmented Generation) pipelines and integrations with vector stores and retrieval tooling; use LangChain and Langfuse for orchestration, chaining, and observability.
Core Responsibilities:
• Implement and maintain MCP server and agent code, APIs, and SDKs for model access and agent orchestration.
• Design agent behavior, workflows and safety guards for agentic AI systems.
• Create, test and iterate prompt templates, evaluation harnesses and grounding/chain of thought strategies.
• Integrate LLMs and model providers (self hosted and cloud APIs) with unified adapters and telemetry.
• Build developer tooling: CLI, local runner, simulators, and debugging tools for agents and prompts.
• Containerize services (Docker), manage orchestration (Kubernetes/GKE), and optimize nodes, autoscaling and resource requests.
• Ensure observability: logging, metrics, traces, dashboards, alerting and SLOs for model infra and agents.
• Create runbooks, playbooks and incident response procedures; reduce MTTR and perform postmortems.
• Design and maintain RAG workflows: document chunking, embeddings, vector indexing, retrieval strategies, re ranking and context injection.
• Integrate and instrument LangChain for composable chains, agents and tooling; use Langfuse (or equivalent tracing) to capture prompts, model calls, RAG traces and evaluation telemetry.
Years of Experience: 5 Years of Experience
Regards
Surya
Surya@rurisoft.com