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Observability Sre Jobs (NOW HIRING)

Site Reliability Engineer

Dallas, TX ยท Remote

$35 - $40/hr

We are seeking a highly skilled Site Reliability Engineer (SRE ) with strong observability expertise, proven communication skills, and the ability to drive reliability maturity across multi-team ...

Site Reliability Engineer

Charlotte, NC ยท On-site

$55.75 - $74/hr

Define and own the enterprise monitoring and SRE observability strategy * Serve as the subject matter expert for Dynatrace, ServiceNow integration, and alerting architecture * Evaluate and recommend ...

Site Reliability Engineer

Charlotte, NC ยท On-site

$55.75 - $74/hr

Define and own the enterprise monitoring and SRE observability strategy * Serve as the subject matter expert for Dynatrace, ServiceNow integration, and alerting architecture * Evaluate and recommend ...

Staff SRE - Observability

Denver, CO

$58.75 - $78/hr

Build CI/CD pipelines with embedded observability and automated testing Site Reliability Engineering (SRE) * Establish and maintain Service Level Indicators (SLIs), Objectives (SLOs), and Agreements ...

Staff SRE - Observability

Denver, CO

$58.75 - $78/hr

Build CI/CD pipelines with embedded observability and automated testing Site Reliability Engineering (SRE) * Establish and maintain Service Level Indicators (SLIs), Objectives (SLOs), and Agreements ...

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Observability Sre information

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$10

$63

$91

How much do observability sre jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for observability sre in the United States is $63.74, according to ZipRecruiter salary data. Most workers in this role earn between $54.81 and $72.84 per hour, depending on experience, location, and employer.

What is the difference between Observability Sre vs Site Reliability Engineer?

AspectObservability SreSite Reliability Engineer
Primary FocusMonitoring, logging, and tracing to ensure system observabilitySystem reliability, automation, and infrastructure management
Skills & CertificationsMonitoring tools, scripting, cloud platforms, observability frameworksLinux, scripting, cloud services, automation tools
Work EnvironmentCollaborates with SRE, DevOps, and development teams on observability practicesBuilds and maintains scalable, reliable systems in production

While both roles focus on system stability, Observability Sre specializes in monitoring and diagnostics, whereas Site Reliability Engineers focus on overall system reliability and automation. They often work together to ensure robust, observable, and reliable systems.

What is an Observability SRE?

An Observability SRE (Site Reliability Engineer) is a specialist focused on ensuring that systems and applications are transparent, measurable, and reliable. Their main responsibility is to implement and maintain tools for monitoring, logging, and tracing, providing insights into system performance and health. Observability SREs help teams quickly detect, diagnose, and resolve issues by making system behavior visible and understandable. They play a critical role in uptime, incident response, and performance optimization, bridging the gap between software development and IT operations.

What are some typical challenges faced by Observability SREs when implementing monitoring solutions across diverse systems?

Observability SREs often encounter challenges when integrating monitoring tools across varied technology stacks and legacy systems. Ensuring consistent data collection, standardizing metrics, and maintaining visibility in complex, distributed environments can be difficult. Collaborating with development and operations teams to define meaningful alerts and dashboards requires strong communication and a deep understanding of both infrastructure and application behaviors. Staying up-to-date with evolving tools and best practices is also essential to address emerging observability needs.

What are the key skills and qualifications needed to thrive as an Observability SRE, and why are they important?

To thrive as an Observability SRE, you need a solid background in systems engineering, monitoring best practices, and expertise in observability concepts, often supported by a degree in computer science or related fields. Familiarity with tools like Prometheus, Grafana, ELK stack, and cloud monitoring platforms, as well as scripting languages such as Python or Bash, is typically required. Strong problem-solving, collaboration, and communication skills help SREs respond to incidents and work across teams effectively. These skills ensure system reliability, rapid issue detection, and continuous service improvement in complex technical environments.
More about Observability Sre jobs
What cities are hiring for Observability Sre jobs? Cities with the most Observability Sre job openings:
What states have the most Observability Sre jobs? States with the most job openings for Observability Sre jobs include:
Infographic showing various Observability Sre job openings in the United States as of July 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $132,583 per year, or $63.7 per hour.

Observability Engineer / Site Reliability Engineer (Remote)

Ontrac Solutions

Chicago, IL โ€ข Remote

$90 - $100/hr

Full-time

Posted 4 days ago


Job description

About Ontrac Solutions

Ontrac Solutions is a leading technology consulting firm, specializing in cutting-edge solutions that drive business transformation. We partner with organizations to modernize their infrastructure, streamline processes, and deliver tangible results. By creating value beyond the hype, we help businesses modernize technology and build new strategies that fuel growth. Our team is committed to innovation, collaboration, and excellence, empowering our clients to succeed in an evolving digital landscape.

Role Overview

We are seeking an experienced Observability / Site Reliability Engineer (SRE) to design, scale, and maintain our enterprise monitoring and alerting ecosystems. In this role, you will bridge the gap between development and operations by ensuring high availability, performance tuning, and deep visibility across distributed multi-cloud and native systems. You will play a critical role in automating infrastructure and building robust observability pipelines using industry-leading cloud-native tools.

Key Responsibilities
  • GCP & Cloud Management: Architect, optimize, and maintain observability frameworks across cloud environments, with a specific focus on implementing Google Cloud Platform (GCP) observability tools (Cloud Logging, Cloud Monitoring, Trace, and Profiler).
  • Platform Management: Design, deploy, and maintain robust observability stacks across hybrid ecosystems, utilizing Prometheus, Grafana, and cloud-native integrations.
  • Automation & IaC: Drive infrastructure-as-code (IaC) initiatives using Terraform and Ansible to ensure consistent, automated deployments of infrastructure and observability tooling.
  • CI/CD Integration: Build, maintain, and optimize deployment workflows within Kubernetes and Google Kubernetes Engine (GKE) / OpenShift environments using GitHub, Harness, and other CI/CD pipelines.
  • System Performance: Deeply analyze Linux/Unix system administration architectures, optimizing compute resource metrics and performance tuning across complex, distributed environments.
  • SRE Evangelism: Implement SRE best practices, establishing meaningful Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Error Budgets to ensure platform reliability.
Required Skills & Qualifications
  • Cloud Infrastructure: Proven engineering experience within Google Cloud Platform (GCP) environments, particularly managing cloud-native monitoring and compute resources.
  • Observability Tooling: Hands-on experience with Grafana, Prometheus, and Google Cloud Observability suites. Direct experience with GEM (Grafana Enterprise Metrics) is highly desirable.
  • OS & Scripting: Expert-level knowledge of Linux/Unix operating systems paired with strong shell scripting skills for automation and systems management.
  • Programming: Professional coding proficiency in at least one modern language (Python, Go, Java, Perl, or advanced Shell).
  • Containers & Orchestration: Hands-on experience managing containerized applications on Kubernetes, GKE, and/or Red Hat OpenShift.

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