Cloud DevSecOps Engineer
About The Position
This position is based out of our Westlake, OH office and is eligible for a hybrid schedule after the training and probationary period. The Cloud DevSecOps Engineer is responsible for building and maintaining secure, scalable cloud infrastructure while embedding security practices throughout the software development lifecycle. This role bridges development, operations, security, and AI/ML teams to ensure applications—including AI-powered solutions—are deployed to production environments efficiently and securely. Working closely with Software Development, Infrastructure, and Information Security teams, this role designs and implements CI/CD pipelines with integrated security controls, manages cloud environments in Azure and AWS, deploys and secures AI/ML workloads, and ensures production deployments meet security and compliance requirements. The DevSecOps Engineer champions a security-first approach to infrastructure automation and AI governance, serving as a key partner in securing the organization's cloud footprint and emerging AI capabilities.
Requirements
- Bachelor’s Degree in Computer Science, Information Technology, Cybersecurity, or related field; or equivalent combination of education and experience
- Minimum 5 years of experience in DevOps, cloud engineering, or infrastructure roles with demonstrated security focus
- Minimum 3 years of hands-on experience with Azure and/or AWS cloud platforms
- Experience implementing CI/CD pipelines in enterprise environments (Azure DevOps, GitHub Actions, Jenkins, GitLab)
- In person interaction that includes actively collaborating with colleagues and participating in team or company meetings
Nice To Haves
- Experience deploying and managing AI/ML services in cloud environments preferred
- Azure preferred: AZ-400, AZ-500, or AI-102; AWS DevOps/Security Specialty a plus
- Security certifications a plus: Security+, CISSP, CCSP
Responsibilities
- Designs, builds, and maintains CI/CD pipelines with integrated security scanning (SAST, DAST, SCA, container security)
- Manages and secures cloud infrastructure across Azure and AWS using infrastructure-as-code (terraform, ARM/Bicep)
- Deploys applications and AI/ML workloads to production with security controls and compliance requirements embedded
- Implements and manages container orchestration (Kubernetes, Azure Container Apps) with security best practices
- Deploys and secures AI services including Azure OpenAI and LLM integrations with appropriate governance controls
- Develops and enforces security guardrails within pipelines, preventing vulnerable code from reaching production
- Monitors cloud security posture, remediates misconfigurations, and responds to security incidents
- Manages secrets, certificates, and encryption keys using vault technologies and cloud-native KMS
- Implements logging, monitoring, and alerting with security event correlation
- Develops documentation for deployment processes, security configurations, and runbooks
- Perform other duties as assigned
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
