DevSecOps Platform Engineer

TL;DR

DevSecOps Platform Engineer: Designing, securing, automating, and operating a software delivery platform for enterprise analytics services with an accent on secure CI/CD, infrastructure as code, and software supply-chain security across hybrid-cloud and customer-managed on-prem deployments. Focus on building portable deployment pipelines, implementing SAST/DAST/SBOMs and artifact signing, and delivering platform observability and reliability for product squads.

Location: Rochester, NY, United States

Company

hirify.global builds precision technology and enterprise analytics capabilities, supporting mission-critical monitoring and protection.

What you will do

• Own the engineering platform enabling CI/CD, Infrastructure as Code, DevSecOps, observability, and deployment portability.
• 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 security controls across the SDLC: SAST, DAST, SBOMs, artifact signing, secrets management, and vulnerability management.
• Build Infrastructure as Code using Terraform, Bicep, and Helm.
• Deliver platform observability with OpenTelemetry, Prometheus, Grafana, and centralized logging; partner with engineers to improve productivity using AI-enabled automation.

Requirements

• 5+ years in DevOps, Platform Engineering, SRE, or DevSecOps.
• Hands-on experience with Kubernetes, Docker, Linux, Terraform, Helm, and GitHub Actions/Azure DevOps.
• Programming/scripting experience with Python, Bash, and/or PowerShell.
• Experience with Azure/AWS and hybrid-cloud deployments, including Azure Arc and Azure Stack Hub.
• Knowledge of Zero Trust, IAM, OAuth2/OIDC, PKI, secure SDLC, and industrial cybersecurity.
• Experience with Agile Scrum (SAFe 6.0 preferred).

Culture & Benefits

• Security and observability are treated as platform capabilities built into every release.
• Reusable platform capabilities to enable product squads and improve release velocity and software quality.
• AI-enabled automation to accelerate engineering workflows while keeping accountability human.
• Support for consistent cloud and on-prem deployments to improve reliability and developer productivity.