DevOps Architect (AI Testing
Listed on 2026-08-04
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IT/Tech
Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, AWS, IT Project Manager
Intuitive.
AI is one of the fastest-growing (INC 5000, CRN) Cloud & SDx solution and services companies supporting enterprise customers on a global scale. Intuitive is an "Engineering Company" delivering measurable value and key business outcomes.
Intuitive Superpowers:
- Data Ops & AI/ML
- Cybersecurity (App/Data/Infra) & GRC
- SDx & Digital Workspace
We are proud to partner with some of the world's leading enterprises and serve 200+ customers across different industry verticals. We have achieved many milestones along the way, including being recognized as a top-10 fast-growth 150 IT company in the Americas by CRN in 2022 and being named one of America's fastest-growing private companies by INC 5000 in 2022. That’s not all!
Even CIO Review awarded us as the Most Promising Cloud Migration Company and Artificial Intelligence Solutions Provider in 2022.
Dev Ops Architect (AI Testing)
Position TypeFull Time/ Contract
LocationRemote across USA or Canada
Job DescriptionWe are seeking a Senior Dev Ops Engineer to design, build, and maintain Git Hub-based CI/CD pipelines that securely deploy applications to AWS. This role focuses on infrastructure automation, deployment reliability, and the integration of AI quality testing into the software delivery lifecycle.
Qualifications- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Experience with AWS, Git Hub Actions, Docker, and Infrastructure as Code (Cloud Formation).
- Proficiency in Power Shell, Bash, or Python scripting.
- Experience implementing CI/CD, Dev Sec Ops , and cloud-native deployment practices.
- Familiarity with AI evaluation frameworks and automated LLM testing integrated into CI/CD pipelines.
- Strong understanding of security, monitoring, and operational best practices for cloud-native environments.
- Design, develop, and maintain Git Hub Actions CI/CD pipelines for AWS deployments.
- Automate infrastructure provisioning and application deployments using Infrastructure as Code.
- Integrate automated AI quality testing into CI/CD pipelines, including prompt evaluation, regression testing, and guardrail validation prior to deployment.
- Implement security scanning, policy enforcement, monitoring, and observability across the software delivery lifecycle.
- Collaborate with engineering teams to deliver secure, reliable, and production-ready applications.
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