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Remote Devsecops Engineer 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 ... DevSecOps & Compliance Automation * Integrate security controls into CI/CD pipelines and ...

Agfa

DevOps Developer

OR · Remote

Remote - United States / Canada What You'll Do: CI/CD, Build & Release Automation * Design ... DevSecOps & Compliance Automation * Integrate security controls into CI/CD pipelines and ...

AGFA

Director, Information Security

OR · On-site +1

Remote: US What You'll Do: * Scaled and resilient security operations capabilities aligned with ... Partner with CloudOps and DevOps teams to integrate DevSecOps practices into CI/CD pipelines.

Agfa

Director, Information Security

OR · Remote

Remote: US What You'll Do: * Scaled and resilient security operations capabilities aligned with ... Partner with CloudOps and DevOps teams to integrate DevSecOps practices into CI/CD pipelines.

All JobsDevsecops Engineer JobsRemote Devsecops Engineer JobsRemote Devsecops Engineer Jobs in Remote, OR

Remote Devsecops Engineer information

See Remote, OR salary details

$38K

$115.8K

$191.3K

How much do remote devsecops engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for remote devsecops 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 is a Remote DevSecOps Engineer job?

A Remote DevSecOps Engineer is responsible for integrating security practices into the development and operations (DevOps) lifecycle while working from a remote location. They ensure secure CI/CD pipelines, automate security testing, and enforce compliance standards across cloud and on-premise infrastructure. Their role involves collaboration with developers, operations teams, and security personnel to identify vulnerabilities, implement security controls, and respond to threats efficiently. By leveraging tools like container security, infrastructure as code (IaC) scanning, and automated security monitoring, they help maintain a secure and agile software development process.

What are some common challenges faced by Remote Devsecops Engineers and how can they be managed?

Remote Devsecops Engineers often encounter challenges such as coordinating security practices across globally distributed teams, ensuring continuous security monitoring in dynamic cloud environments, and quickly responding to incidents. Effective communication, clear documentation, and regular virtual meetings help bridge gaps and align team efforts. Utilizing automated security tools and centralized monitoring systems is essential for maintaining consistent security standards. Proactively seeking collaboration and ongoing professional development can help overcome these hurdles and lead to a rewarding remote work experience.

What are the key skills and qualifications needed to thrive in the Remote Devsecops Engineer position, and why are they important?

To excel as a Remote Devsecops Engineer, you need strong expertise in cloud platforms, CI/CD pipelines, security best practices, and Infrastructure as Code, typically backed by a degree in computer science or a related field. Familiarity with tools such as AWS, Azure, Jenkins, Docker, Kubernetes, Terraform, and certifications like AWS Certified DevOps Engineer or Certified Kubernetes Security Specialist is highly valuable. Excellent problem-solving abilities, proactive communication, and a collaborative mindset are critical soft skills. These capabilities enable seamless integration of security into development and operations, ensuring robust, scalable, and secure systems in distributed teams.

What are popular job titles related to Remote Devsecops Engineer jobs in Remote, OR? For Remote Devsecops Engineer jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Remote Devsecops Engineer jobs in Remote, OR look for? The top searched job categories for Remote Devsecops Engineer jobs in Remote, OR are:
What cities near Remote, OR are hiring for Remote Devsecops Engineer jobs? Cities near Remote, OR with the most Remote Devsecops Engineer job openings:
Remote Devsecops Engineer jobs near you
Infographic showing various Remote Devsecops Engineer job openings in Remote, OR as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $115,750 per year, or $55.6 per hour.

DevOps Developer

AGFA

OR • On-site, Remote

Full-time

Medical, PTO

Posted 18 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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