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DevOps Engineer - Fully Remote
Remote / Online - Candidates ideally in
Seattle, King County, Washington, 98127, USA
Listed on 2026-06-03
Seattle, King County, Washington, 98127, USA
Listing for:
Stackular
Full Time, Remote/Work from Home
position Listed on 2026-06-03
Job specializations:
-
IT/Tech
Cloud Computing, Systems Engineer
Job Description & How to Apply Below
Role
Dev Ops Engineer
LocationWashington, DC (Hybrid / Approved Remote)
Engagement TypeFull-time
About UsAt Stackular, we are more than just a team – we are a product development community driven by a shared vision. Our values shape who we are, what we do, and how we interact with our peers and our customers. We want individuals who identify with our core values and are passionate about software development. We are seeking a skilled Dev Ops Engineer to design, implement, and maintain scalable, secure, and compliant cloud infrastructure supporting NCCIH’s digital platforms and research initiatives.
Responsibilities- The ideal candidate will bridge development and operations, ensuring efficient CI/CD pipelines, system reliability, and adherence to federal security standards.
- Design, build, and manage cloud infrastructure (AWS/Azure) for high availability and scalability.
- Implement and maintain CI/CD pipelines for automated build, test, and deployment workflows.
- Monitor system performance, availability, and incident response using observability tools.
- Collaborate with development, security, and data teams to streamline deployment processes.
- Manage configuration, patching, and environment consistency across systems.
- Support disaster recovery, backup strategies, and business continuity planning.
- Document processes, architecture, and operational procedures.
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
- 6–10+ years of experience in Dev Ops, Cloud Engineering, or Site Reliability Engineering.
- Strong experience with cloud platforms (AWS/Azure preferred).
- Proficiency in scripting (Python, Bash, or similar).
- Understanding of networking, security, and system administration.
- Experience with AI/ML infrastructure pipelines.
- Exposure to zero-trust architecture or advanced cybersecurity practices.
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