DevSecOps Platform Engineer
Raliant· enterprise· Jul 22, 2026 · 3mo agoPosted 97 days ago
Rochester, NY, United States
Hybrid
Full-time
Senior
$145K–$185K est.
5+ years exp
Before you apply
Ghost Signal:
Open since July 22, 2026 — 97 days, and still accepting applications.
Job description
DevSecOps Platform Engineer – Enterprise Analytics Services
Position Summary
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.
Build the Future of Enterprise Analytics
As part of Qualitrol's 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.
Mission
Own the engineering platform enabling CI/CD, Infrastructure as Code, DevSecOps, observability, hybrid-cloud deployment, and software supply-chain security across Enterprise Analytics Services.
Areas of Stewardship
• 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.
What You'll Bring
• Bachelor's 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.
Engineering Principles
• 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.
Success Measures
• 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.
Why Join Us
Build the engineering platform powering Qualitrol's next generation of enterprise analytics services and help shape an AI-Native Product Engineering organization.
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Application prep
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Keywords to mirror
aici/cdazurekubernetesdockerpythonawsagilescrum
- Platform
- oracle-cloud
- Effort
- medium