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Senior Qa Automation Engineer Jobs in Remote, OR

AGFA

DevOps Developer

OR · On-site +1

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 ...

Koerber

Senior Project Manager

OR · Hybrid

You will partner cross-functionally with internal teams (engineering, sales, EHS&S, finance ... You will ensure compliance with safety, quality, and contractual requirements, capturing lessons ...

Körber Group

Senior Project Manager

OR · On-site +1

You will partner cross-functionally with internal teams (engineering, sales, EHS&S, finance ... You will ensure compliance with safety, quality, and contractual requirements, capturing lessons ...

Tech Spot Consulting Llc

Be Seen First

Senior Data Engineer (Azure/Databricks)

OR · Remote

$125K - $165K/yr

Overview Experis is seeking an experienced Senior Data Engineer to support a leading energy ... Execute data quality validation. * Move data through Bronze → Silver → Gold layers. * Optimize ...

Tech Spot Consulting Llc

Be Seen First

Senior Data Engineer (Azure/Databricks)

OR · Remote

$125K - $165K/yr

Overview Experis is seeking an experienced Senior Data Engineer to support a leading energy ... Execute data quality validation. * Move data through Bronze → Silver → Gold layers. * Optimize ...

Koerber

Senior Business Development Manager

OR · On-site +1

The Senior Business Development Manager is responsible for managing and growing strategic customer ... PMO, Engineering, B&P, and Service to deliver endtoend parcel automation solutions * You will ...

Lumen Technologies

Lead Site Reliability Engineer

OR · Remote

$53.50 - $71/hr

... quality, and operational excellence. This role will shape how Lumen combines the latest ... Automation & Infrastructure as Code * Develop and maintain automation scripts and tools for ...

Under Armour

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Provide quality and performant data modeling and visualizations solutions to our cross functional ... Project Lead, Senior Software Engineer, Software Engineer, etc.). * 2 years of experience ...

Under Armour, Inc.

Sr. Data Analytics Engineer

OR · On-site

$107K - $128K/yr

Provide quality and performant data modeling and visualizations solutions to our cross functional ... Project Lead, Senior Software Engineer, Software Engineer, etc.). * 2 years of experience ...

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All JobsQa Automation Engineer JobsSenior Qa Automation Engineer JobsSenior Qa Automation Engineer Jobs in Remote, OR

Senior Qa Automation Engineer information

See Remote, OR salary details

$10

$56

$72

How much do senior qa automation engineer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for senior qa automation engineer in Remote, OR is $56.28, according to ZipRecruiter salary data. Most workers in this role earn between $50.19 and $64.38 per hour, depending on experience, location, and employer.

How does a senior QA automation engineer typically collaborate with development and product teams during the software development lifecycle?

Senior QA Automation Engineers play a vital role in cross-functional teams, working closely with developers and product managers from the early stages of a project. They participate in sprint planning, clarify acceptance criteria, and help design testable features. Throughout the development cycle, they create and maintain automated test scripts, review code, and provide feedback to ensure product quality. Regular communication and collaboration are crucial, as they often lead efforts to integrate automated tests into CI/CD pipelines and help resolve issues quickly.

What is a senior QA automation engineer?

Senior QA Automation Engineers are experienced professionals responsible for designing, developing, and maintaining automated tests to ensure the quality and reliability of software applications. They lead testing strategies, create automated test scripts, and often mentor junior QA engineers. Their work helps identify bugs early in the development process, reducing manual testing efforts and improving the efficiency of software releases. Senior QA Automation Engineers typically collaborate with developers, product managers, and other stakeholders to deliver high-quality software products.

What is the difference between Senior Qa Automation Engineer vs QA Engineer?

AspectSenior QA Automation EngineerQA Engineer
CertificationsISTQB, CSTE, or similarISTQB, CSTE, or similar
Work EnvironmentLeading automation projects, mentoringManual and automation testing, executing test cases
ResponsibilitiesDesigning automation frameworks, scripting, mentoringTest case execution, bug reporting, manual testing

The Senior QA Automation Engineer typically leads automation efforts, designs frameworks, and mentors team members, while QA Engineers focus on manual testing and executing test cases. Both roles require similar certifications and work in software testing environments, but the senior role involves more leadership and automation expertise.

What skills and qualifications are needed to thrive as a senior QA automation engineer?

To thrive as a Senior QA Automation Engineer, you need strong expertise in software testing methodologies, proficiency in programming/scripting languages (such as Java, Python, or JavaScript), and a relevant degree or equivalent experience. Familiarity with automation frameworks (like Selenium, Cypress, or Appium), CI/CD tools, and version control systems is typically required, along with certifications like ISTQB being advantageous. Excellent problem-solving ability, attention to detail, and effective communication skills help you collaborate with development teams and advocate for quality. These competencies ensure efficient test automation, reliable software delivery, and the ability to lead quality initiatives in complex projects.
What are popular job titles related to Senior Qa Automation Engineer jobs in Remote, OR? For Senior Qa Automation Engineer jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Senior Qa Automation Engineer jobs in Remote, OR look for? The top searched job categories for Senior Qa Automation Engineer jobs in Remote, OR are:
What cities near Remote, OR are hiring for Senior Qa Automation Engineer jobs? Cities near Remote, OR with the most Senior Qa Automation Engineer job openings:
Senior Qa Automation Engineer jobs near you
Infographic showing various Senior Qa Automation Engineer job openings in Remote, OR as of August 2026, with employment types broken down into 90% Full Time, 3% Part Time, and 7% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $117,071 per year, or $56.3 per hour.

DevOps Developer

AGFA

OR • On-site, Remote

Full-time

Medical, PTO

Re-posted 16 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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