DevSecOps Platform Engineer

The DevSecOps Platform Engineer enables the Enterprise Analytics Services product squads by designing securing automating and operating the software delivery platform supporting a common code base across cloud-native and customer-managed on-premises deployments.

As part of Qualitrols AI-Native Product Engineering organization this role builds the engineering platform behind Specification-Driven Agentic SDLC embedding security automation observability and deployment portability into every release.

Own the engineering platform enabling CI/CD Infrastructure as Code DevSecOps observability hybrid-cloud deployment and software supply-chain security across Enterprise Analytics Services.

• Design secure CI/CD pipelines using GitHub Actions and/or Azure DevOps.
• Automate deployments for Azure Azure Arc Azure Stack Hub Kubernetes and customer-managed environments.
• Implement SAST DAST SBOMs artifact signing secrets management and vulnerability management.
• Develop Infrastructure as Code using Terraform Bicep and Helm.
• Implement OpenTelemetry Prometheus Grafana and centralized logging.
• Partner with Product Engineers Architects and QA to improve engineering productivity through AI-enabled automation.

• Bachelors degree in Computer Science or related discipline.
• 5 years in DevOps Platform Engineering SRE or DevSecOps.
• Kubernetes Docker Linux Terraform Helm GitHub Actions/Azure DevOps Python/Bash/PowerShell.
• Experience with Azure/AWS Azure Arc Azure Stack Hub and hybrid-cloud deployments.
• Knowledge of Zero Trust IAM OAuth2/OIDC PKI secure SDLC and industrial cybersecurity.
• Experience with Agile Scrum; SAFe 6.0 preferred.
• Experience using AI tools to automate engineering workflows.

• Automate before repeating.
• Security is a design requirement.
• Observability is a platform capability.
• Design once. Deploy anywhere.
• AI accelerates engineering; accountability remains human.
• Enable product teams through reusable platform capabilities.

• Automated secure pipelines adopted across all squads.
• Consistent cloud and on-prem deployments.
• Improved release velocity and software quality.
• Improved cybersecurity and compliance posture.
• High platform reliability and developer productivity.

Build the engineering platform powering Qualitrols next generation of enterprise analytics services and help shape an AI-Native Product Engineering organization.

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