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Remote Observability Jobs in Remote, OR (NOW HIRING)

AGFA

DevOps Developer

OR · On-site +1

Remote - United States / Canada What You'll Do: CI/CD, Build & Release Automation * Design ... Observability, Reliability & Operational Feedback * Improve observability through metrics, logs ...

Agfa

DevOps Developer

OR · Remote

Remote - United States / Canada What You'll Do: CI/CD, Build & Release Automation * Design ... Observability, Reliability & Operational Feedback * Improve observability through metrics, logs ...

Lumen Technologies

Lead Site Reliability Engineer

OR · Remote

$53.50 - $71/hr

... observability, automation, and AI-assisted engineering practices. The Lead SRE requires an AI ... Location This role is designated as a fully remote position within the United States. The Main ...

Lumen Technologies

Sr Lead Site Reliability Engineer

OR · Remote

$53.50 - $71/hr

... observability, automation and AI-assisted engineering practices. The Senior Lead SRE requires an AI ... Location This role is designated as a fully remote position within the United States. The Main ...

Agfa

Director, Cloud Operations

OR · Remote

Location: * Remote - US / Canada What You'll Do: Cloud Operations & Reliability * Own the ... Own end-to-end observability including metrics, logs, traces, dashboards, and alerting.

AGFA

Director, Cloud Operations

OR · On-site +1

Location: * Remote - US / Canada What You'll Do: Cloud Operations & Reliability * Own the ... Own end-to-end observability including metrics, logs, traces, dashboards, and alerting.

Atos

Apps AI Solution Architect AMS

OR · Remote

$59 - $77.75/hr

North America (Remote) Role Summary The Apps AI Architect will play a pivotal role in transforming ... Familiarity with observability and AIOps platforms including DataDog, Dynatrace, Moogsoft, Splunk ...

Lumen Technologies

Principal Software Engineer

OR · Remote

$126K - $169K/yr

Location This is a remote postion open to candidates based anywhere in the US. The Main ... Define architectural standards for reliability, scalability, resiliency, observability, and ...

Under Armour, Inc.

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

Drive engineering best practices include testing, observability, modular modeling, and ... REMOTE #HYBRID Relocation * No relocation provided Base Compensation $125,000.00-$165,000.00 USD ...

Lumen Technologies

Lead AEM Software Developer

OR · Remote

$105K - $140K/yr

Promote engineering excellence through best practices in CI/CD, observability, performance, and ... Benefits Bonus Structure #LI-Remote Requisition #: 342692 Life at Lumen Life at Lumen is human and ...

Lumen Technologies

Principal Architect

OR · Remote

Location This role is designated as a fully remote position within the United States. The Main ... Collaborate with DevOps and SRE teams to embed reliability and observability into architectural ...

Lumen Technologies

Lead Software Developer

OR · Remote

$105K - $141K/yr

Drive engineering excellence through code quality, testing automation, observability, performance ... Benefits Bonus Structure #LI-Remote Requisition #: 342697 Life at Lumen Life at Lumen is human and ...

All JobsObservability JobsRemote Observability JobsRemote Observability Jobs in Remote, OR

Remote Observability information

See Remote, OR salary details

$17

$21

$23

How much do remote observability jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for remote observability in Remote, OR is $21.48, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $22.84 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in a Remote Observability role, and how can they be addressed?

Professionals in Remote Observability often face challenges such as monitoring complex, distributed systems, ensuring reliable data collection, and quickly identifying the root causes of issues without physical access to infrastructure. To address these challenges, it's essential to implement robust monitoring tools, establish clear alerting thresholds, and maintain strong communication with development and operations teams. Regular knowledge-sharing sessions and continuous learning about new observability platforms can also help remote teams stay effective and proactive.

How can I make 2000 a week working from home?

Remote observability roles often pay between $20 and $50 per hour, so earning $2000 weekly typically requires working 40 to 50 hours. Developing skills in monitoring tools, cloud platforms, and scripting can increase earning potential, and certifications like AWS or Kubernetes may help access higher-paying positions. Consistent remote work, strong technical skills, and experience are key to reaching this income level.

What is the difference between Remote Observability vs Remote Monitoring?

AspectRemote ObservabilityRemote Monitoring
FocusComprehensive system insights, including logs, metrics, and tracesTracking specific system metrics and alerts
ToolsOpenTelemetry, Grafana, JaegerNagios, Zabbix, Datadog
Work EnvironmentDevOps, SRE teams managing complex distributed systemsIT operations teams overseeing system health
CredentialsKnowledge of cloud platforms, scripting, and monitoring toolsBasic networking, system administration skills

Remote Observability provides a holistic view of system health through logs, metrics, and traces, enabling proactive troubleshooting. Remote Monitoring focuses on tracking specific metrics and alerts to detect issues. While both roles involve system oversight, observability offers deeper insights for complex environments, whereas monitoring emphasizes real-time alerts for system stability.

What is the salary of observability specialist?

The salary of an observability specialist typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with skills in monitoring tools like Prometheus or Grafana can earn higher salaries.

How can I make $100,000 a year working from home?

In remote observability roles, earning $100,000 annually typically requires a combination of advanced technical skills in monitoring tools, cloud platforms, and scripting, along with experience in system architecture and troubleshooting. Certifications like AWS or Kubernetes can enhance earning potential, and working in a senior or specialized position often offers higher salaries. Building a strong portfolio and gaining experience in high-demand areas can also help achieve this income level remotely.

What are the key skills and qualifications needed to thrive as a Remote Observability Engineer, and why are they important?

To thrive as a Remote Observability Engineer, you need expertise in monitoring, logging, and tracing, typically supported by experience in systems administration or DevOps and a relevant technical degree. Familiarity with observability tools like Prometheus, Grafana, Datadog, ELK Stack, and cloud monitoring platforms, as well as certifications such as AWS Certified Cloud Practitioner or Google Professional Cloud DevOps Engineer, is highly valued. Strong analytical thinking, problem-solving, and effective communication are vital soft skills for diagnosing issues and collaborating with distributed teams. These skills and qualifications ensure reliable system performance, rapid incident response, and seamless user experiences in complex, cloud-based environments.

What is remote observability?

Remote observability refers to the ability to monitor, measure, and understand the state and performance of systems, applications, or infrastructure from a distance, typically using specialized tools and platforms. It is crucial for organizations that operate distributed or cloud-based environments, as it allows teams to detect issues, analyze metrics, and ensure reliability without needing physical access to the hardware. Remote observability often involves collecting logs, metrics, traces, and other telemetry data to provide a comprehensive view of system health and performance.

How to make 1000 a week remotely?

Remote observability roles often pay between $20 and $50 per hour, so earning $1,000 weekly typically requires working 20 to 50 hours. Developing skills in monitoring tools, scripting, and cloud platforms can increase earning potential, and certifications like AWS or Kubernetes may help access higher-paying opportunities.
What are popular job titles related to Remote Observability jobs in Remote, OR? For Remote Observability jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Remote Observability jobs in Remote, OR look for? The top searched job categories for Remote Observability jobs in Remote, OR are:
Remote Observability jobs near you

DevOps Developer

AGFA

OR • On-site, Remote

Full-time

Medical, PTO

Posted 19 days ago

Job description

We are looking for a Senior DevOps Developer to help design, build, improve, and operate the tooling and automation that supports our software development and delivery lifecycle.
In this role, you will work closely with DevOps, Architecture, Development, Security, Managed Services, and Services teams to improve CI/CD pipelines, cloud-native deployment workflows, infrastructure automation, observability, security automation, operational feedback loops, and developer experience.
You will be expected to take ownership of technical topics, guide less experienced engineers, and contribute to the evolution of our DevOps and platform engineering practices.
Location:
  • Remote - United States / Canada

What You'll Do:
CI/CD, Build & Release Automation
  • Design, maintain, and improve CI/CD pipelines using tools such as Jenkins, Bitbucket, Gradle, and related technologies.
  • Improve build reliability, pipeline performance, test automation integration, and release automation.
  • Support development teams in improving their software delivery workflows.
  • Troubleshoot complex build, deployment, and environment issues.
  • Contribute to standardization and reuse of pipeline patterns across teams.
  • Improve deployment repeatability, traceability, and auditability.

Cloud-Native Platform Engineering
  • Support and improve Kubernetes-based deployment and runtime environments.
  • Work with containerization technologies such as Docker and Kubernetes.
  • Develop and maintain automation for infrastructure, environments, and deployment workflows.
  • Contribute to infrastructure-as-code and configuration-as-code practices.
  • Support the adoption of GitOps and declarative deployment models.
  • Help improve scalability, resilience, and maintainability of cloud-native systems.
  • Collaborate with Managed Services and Services teams to ensure platform capabilities are operable and supportable.

DevSecOps & Compliance Automation
  • Integrate security controls into CI/CD pipelines and development workflows.
  • Support vulnerability scanning, dependency checks, container image scanning, secrets management, and policy enforcement.
  • Collaborate with Security and Architecture teams to improve secure software delivery.
  • Help ensure pipelines and automation support auditability, traceability, and compliance requirements.
  • Promote secure-by-design practices within DevOps and development teams.

Observability, Reliability & Operational Feedback
  • Improve observability through metrics, logs, traces, dashboards, and alerting.
  • Support incident analysis, root-cause investigation, and operational improvements.
  • Work with Managed Services and Services teams to translate operational feedback into better automation, monitoring, deployment practices, and documentation.
  • Identify recurring operational issues and automate solutions where possible.
  • Contribute to performance, reliability, and scalability improvements.

AI-Enabled Engineering Workflows
  • Use AI-assisted tools responsibly to improve DevOps productivity, troubleshooting, documentation, automation, and pipeline analysis.
  • Identify practical use cases for AI in CI/CD, DevSecOps, observability, incident analysis, and developer workflows.
  • Validate AI-generated code, scripts, configurations, and recommendations through proper engineering review and testing.
  • Help define safe usage patterns and guardrails for AI-assisted DevOps work.
  • Collaborate with development teams to integrate AI-assisted tools into the software delivery lifecycle.

Who You Are:
  • 4+ years of experience in DevOps, platform engineering, infrastructure engineering, or software delivery automation.
  • Strong hands-on experience with CI/CD pipelines and automation.
  • Experience with Jenkins, Bitbucket, Gradle, Git, and related development tooling.
  • Experience with Docker, Kubernetes, and cloud-native deployment patterns.
  • Good understanding of infrastructure-as-code, configuration management, and automation.
  • Knowledge of GitOps concepts and tools such as ArgoCD, Flux, or similar.
  • Understanding of DevSecOps principles and security automation in CI/CD pipelines.
  • Experience with observability tools and practices, including logs, metrics, dashboards, and alerting.
  • Strong troubleshooting and problem-solving skills.
  • Ability to work independently and take ownership of technical topics.
  • Good communication skills and ability to collaborate across distributed teams.
  • Understanding of AI tools and their application in DevOps, software development, and operational workflows.
  • Relevant certifications such as AWS Cloud Practitioner, AWS Certified Solutions Architect, ITIL, CISSP, or CISM.
  • Experience with AWS, Azure, GCP, or hybrid cloud environments.
  • Experience with Helm, Terraform, Ansible, or similar tooling.
  • Experience with Prometheus, Grafana, ELK/OpenSearch, or comparable observability platforms.
  • Experience with incident response, production support, managed services enablement, performance tuning, or operational reliability.
  • Knowledge of progressive delivery techniques such as feature flags, canary releases, blue-green deployments, and automated rollback.
  • Experience with AI-assisted development tools, coding assistants, or AI-based automation in enterprise engineering environments.

Our Values:
  • Own It (I do what I say, full accountability for results, finding solutions and Practice ethical and safe behaviors)
  • Play as One (Collaborate for a common goal, diverse perspectives. Listen and communicate with respect, support decision for teams' benefits)
  • Move Forward (Embrace change, explore opportunities to innovate, feedback and improve performance, Proactive steps to resolve issues and continuous progress).
  • Drive Value (Bold choices to maximize value creation, customer deliver exceptional value, add value to all stakeholders, use data to generate crucial insights and outcomes).

What we offer now and in the future:
  • Dynamic global organization with a history of innovation and strong product portfolio.
  • Challenging environment combined with a supportive management structure.
  • Career development and growth.
  • Competitive salary and benefit package.
  • Friendly work environment surrounded by dedicated and professional colleagues.

Diversity and Inclusion:
At Agfa, our mission at Agfa is to ensure that everyone belongs. We believe that diversity and inclusion of others promotes a greater feeling of belonging and higher levels of engagement. We know that if we work together, we can do amazing things, and that our differences are what make our company, products, and services great.
Compensation: At Agfa HealthCare, we offer a thoughtfully designed benefits package that supports your physical, emotional, and financial wellbeing. As you move through the hiring process, we're happy to provide more details about our compensation programs, including variable and commission compensation opportunities for eligible roles, vacation entitlement, and paid time off.
AI Usage Disclosure: As part of our commitment to transparency, we use artificial intelligence (AI) tools to assist in various stages of our recruitment process, including resume screening, candidate matching, interview scheduling, and communications. These tools are designed to improve efficiency, reduce bias, and enhance candidate experience. All decisions regarding hiring are made by qualified human professionals, and we continuously monitor our AI systems to ensure fairness and compliance with applicable regulations.

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