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Remote Observability Engineer Jobs in Remote, OR

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 ...

Under Armour, Inc.

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

Drive engineering best practices include testing, observability, modular modeling, and ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

Agfa

Director, Cloud Operations

OR · Remote

Location: * Remote - US / Canada What You'll Do: Cloud Operations & Reliability * Own the ... Automation, DevOps & Observability * Partner with R&D to standardize CI/CD pipelines, release ...

AGFA

Director, Cloud Operations

OR · On-site +1

Location: * Remote - US / Canada What You'll Do: Cloud Operations & Reliability * Own the ... Automation, DevOps & Observability * Partner with R&D to standardize CI/CD pipelines, release ...

Under Armour

Lead, Product Manager - Platform Services

OR · On-site +1

$125K - $165K/yr

Partner with engineering teams to evolve platform architecture, automation, observability, and AI ... REMOTE #HYBRID Relocation * No relocation provided Base Compensation $125,000.00-$165,000.00 USD ...

Lumen Technologies

Principal Architect

OR · Remote

Collaborate with DevOps and SRE teams to embed reliability and observability into architectural ... Benefits Bonus Structure #LI-Remote #LI-VK1 Requisition #: 342712 Life at Lumen Life at Lumen is ...

All JobsObservability Engineer JobsRemote Observability Engineer JobsRemote Observability Engineer Jobs in Remote, OR

Remote Observability Engineer information

See Remote, OR salary details

$38K

$115.8K

$191.3K

How much do remote observability engineer jobs pay per year?

As of Aug 2, 2026, the average yearly pay for remote observability engineer in Remote, OR is $115,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,900.00 and $151,400.00 per year, depending on experience, location, and employer.

What are the typical collaboration patterns for a Remote Observability Engineer working with distributed teams?

Remote Observability Engineers frequently collaborate with software developers, DevOps teams, and IT operations to ensure systems are monitored effectively and issues are detected early. Working remotely, you'll often use communication tools like Slack, Jira, and video conferencing to coordinate incident response, discuss monitoring strategies, and review system health dashboards. Regular sync meetings and asynchronous updates are common, and you'll likely contribute to documentation and knowledge sharing to keep all stakeholders informed. Building strong communication habits is important, as much of the troubleshooting and improvement work hinges on clear coordination with multiple teams.

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 strong expertise in monitoring, logging, and tracing systems, along with a background in computer science or related technical fields. Familiarity with tools like Prometheus, Grafana, ELK Stack, Datadog, and cloud platforms is typically required, as well as relevant certifications such as AWS Certified Cloud Practitioner or Google Cloud Professional DevOps Engineer. Excellent problem-solving abilities, communication skills, and a proactive mindset help you detect and resolve issues before they impact users. These competencies ensure system reliability, enable rapid incident response, and support seamless collaboration in distributed environments.

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

AspectRemote Observability EngineerSite Reliability Engineer
CredentialsKnowledge of monitoring tools, scripting, cloud platformsSame as Observability Engineer, plus SRE certifications often preferred
Work EnvironmentFocus on monitoring, logging, and tracing systems remotelyBroader scope including system reliability, incident response, and automation
Industry UsagePrimarily in tech, SaaS, cloud servicesWidely in tech, finance, and large-scale online services

The Remote Observability Engineer specializes in monitoring and analyzing system performance remotely, focusing on tools like logs and metrics. In contrast, the Site Reliability Engineer has a broader role, ensuring overall system reliability, automation, and incident management. While both roles require similar technical skills, SREs often have additional responsibilities related to system resilience and scalability.

What is a Remote Observability Engineer?

A Remote Observability Engineer is a professional responsible for designing, implementing, and maintaining systems that monitor the health, performance, and reliability of software applications and infrastructure from a remote location. They use observability tools to collect and analyze logs, metrics, and traces, helping organizations quickly detect and resolve issues. Their work ensures that distributed systems are transparent, reliable, and efficient, often collaborating with development, operations, and security teams. Remote Observability Engineers often work from anywhere, leveraging cloud-based tools and platforms to manage complex IT environments.
What are popular job titles related to Remote Observability Engineer jobs in Remote, OR? For Remote Observability Engineer jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Remote Observability Engineer jobs in Remote, OR look for? The top searched job categories for Remote Observability Engineer jobs in Remote, OR are:
What cities near Remote, OR are hiring for Remote Observability Engineer jobs? Cities near Remote, OR with the most Remote Observability Engineer job openings:
Remote Observability Engineer jobs near you

DevOps Developer

AGFA

OR • On-site, Remote

Full-time

Medical, PTO

Re-posted 7 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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