DevOps Developer
OR · Remote
DevSecOps & Compliance Automation * Integrate security controls into CI/CD pipelines and ... Experience with AWS, Azure, GCP, or hybrid cloud environments. * Experience with Helm, Terraform ...
DevOps Developer
OR · Remote
DevSecOps & Compliance Automation * Integrate security controls into CI/CD pipelines and ... Experience with AWS, Azure, GCP, or hybrid cloud environments. * Experience with Helm, Terraform ...
Director, Information Security
OR · On-site +1
Partner with CloudOps and DevOps teams to integrate DevSecOps practices into CI/CD pipelines. * Optimize and scale security tooling, including AWS-native services and endpoint protection platforms.
Director, Information Security
OR · On-site +1
Partner with CloudOps and DevOps teams to integrate DevSecOps practices into CI/CD pipelines. * Optimize and scale security tooling, including AWS-native services and endpoint protection platforms.
Director, Information Security
OR · Remote
Partner with CloudOps and DevOps teams to integrate DevSecOps practices into CI/CD pipelines. * Optimize and scale security tooling, including AWS-native services and endpoint protection platforms.
Director, Information Security
OR · Remote
Partner with CloudOps and DevOps teams to integrate DevSecOps practices into CI/CD pipelines. * Optimize and scale security tooling, including AWS-native services and endpoint protection platforms.
Aws Devsecops Engineer information
See Remote, OR salary details
$39K - $47.9K
3% of jobs
$47.9K - $56.9K
3% of jobs
$56.9K - $65.8K
4% of jobs
$65.8K - $74.7K
7% of jobs
$74.7K - $83.7K
6% of jobs
$84.4K is the 25th percentile. Wages below this are outliers.
$83.7K - $92.6K
6% of jobs
The median wage is $100.7K / yr.
$92.6K - $101.6K
21% of jobs
$101.6K - $110.5K
4% of jobs
$116.3K is the 75th percentile. Wages above this are outliers.
$110.5K - $119.5K
29% of jobs
$119.5K - $128.4K
2% of jobs
$128.4K - $137.4K
13% of jobs
$39K
$101.7K
$137.4K
How much do aws devsecops engineer jobs pay per year?
As of Jun 26, 2026, the average yearly pay for aws devsecops engineer in Remote, OR is $101,652.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,900.00 and $116,400.00 per year, depending on experience, location, and employer.
Are DevSecOps engineers in demand?
DevSecOps engineers are in high demand due to the increasing need for integrating security into development and operations processes. Organizations seek professionals skilled in cloud platforms like AWS, security tools, and automation to enhance security and efficiency in software delivery.
What is an AWS DevSecOps Engineer?
An AWS DevSecOps Engineer is a professional who integrates security practices into the DevOps process on Amazon Web Services (AWS). They are responsible for automating security measures, monitoring system vulnerabilities, and ensuring compliance throughout the software development lifecycle. Their role bridges the gap between development, operations, and security teams, enabling faster and more secure deployment of applications. Typical tasks include configuring security tools, managing cloud infrastructure, and implementing best practices for secure code delivery.
How does an AWS DevSecOps Engineer typically collaborate with development and security teams in a cloud environment?
As an AWS DevSecOps Engineer, you'll work closely with both development and security teams to integrate security practices into the software development lifecycle. This often involves setting up automated security checks in CI/CD pipelines, advising developers on secure coding practices, and ensuring compliance with security policies. Regular meetings and collaborative troubleshooting are common, as you'll be bridging gaps between rapid development and stringent security requirements. By fostering communication and shared responsibility, you help create a culture where security is integrated rather than added as an afterthought.
What are the key skills and qualifications needed to thrive as an AWS DevSecOps Engineer, and why are they important?
To thrive as an AWS DevSecOps Engineer, you need a strong background in cloud infrastructure (especially AWS), security best practices, and automation, often supported by a degree in computer science or a related field. Familiarity with tools like AWS CloudFormation, Terraform, Jenkins, Docker, Kubernetes, and security frameworks such as CIS benchmarks or AWS Security Hub is typical, along with certifications like AWS Certified DevOps Engineer or AWS Certified Security Specialty. Strong problem-solving skills, effective communication, and a proactive approach to security make someone excel in this role. These skills are crucial for ensuring secure, efficient, and resilient cloud environments that support rapid development and deployment cycles.
What engineers make $500,000?
Senior-level engineers in high-demand fields such as software engineering, cloud engineering, and cybersecurity can earn $500,000 or more annually, especially with extensive experience, specialized skills, and certifications like AWS or CISSP. Roles in tech companies, finance, or consulting often offer such compensation packages, including base salary, bonuses, and stock options.
Is AWS DevOps a good career?
AWS DevSecOps Engineers focus on integrating security into DevOps practices using AWS tools and services, such as CloudFormation and CodePipeline. This role is in high demand due to the increasing adoption of cloud infrastructure and automation, offering strong job growth and competitive salaries for professionals with skills in cloud security, automation, and scripting. Continuous learning and certifications like AWS Certified DevOps Engineer enhance career prospects in this field.
What is the AWS DevOps engineer's salary?
The average salary for an AWS DevSecOps Engineer typically ranges from $100,000 to $150,000 annually, depending on experience, certifications, and location. Professionals with expertise in cloud security, automation tools, and continuous integration may earn higher salaries.
What is the difference between Aws Devsecops Engineer vs Cloud Security Engineer?
| Aspect | Aws Devsecops Engineer | Cloud Security Engineer |
|---|---|---|
| Certifications | AWS Certified DevOps Engineer, Security+ | CISSP, CCSP, AWS Security Specialty |
| Work Environment | DevOps teams, cloud infrastructure, automation | Security teams, cloud environments, risk assessment |
| Primary Focus | Integrating security into DevOps pipelines on AWS | Implementing and managing security measures in cloud platforms |
The Aws Devsecops Engineer focuses on embedding security practices within DevOps workflows on AWS, emphasizing automation and continuous integration. In contrast, the Cloud Security Engineer concentrates on securing cloud infrastructure, managing security policies, and risk mitigation across cloud environments. Both roles require cloud security knowledge but differ in their primary responsibilities and work settings.
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What job categories do people searching Aws Devsecops Engineer jobs in Remote, OR look for? The top searched job categories for Aws Devsecops Engineer jobs in Remote, OR are:
Other
Medical, PTO
Posted 3 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.