DevSecOps Platform Engineer Qualitrol Rochester, NY, United States Posted 5 hours ago

Ralliant; City of Rochester (NY); On-site; USD 110,000 - 160,000; Full time

Job summary

Qualitrol in Rochester, NY is seeking a DevSecOps Platform Engineer to empower the Enterprise Analytics Services platform. You will design secure CI/CD pipelines, automate deployments across Azure and on-prem environments, and embed security and observability into the code base.

You will collaborate with product engineers, architects and QA to raise release velocity, strengthen software supply-chain security, and improve platform reliability in hybrid-cloud deployments.

Qualifications

• Bachelor's degree in Computer Science or related field.
• 5+ years in DevOps, Platform Engineering, SRE or DevSecOps.
• Experience with 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.

Responsibilities

• 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.

Skills

DevSecOps

Platform Engineering

Kubernetes

Docker

Linux

Terraform

Helm

GitHub Actions

Azure

AWS

Python

Bash

PowerShell

Education

Bachelor's degree in Computer Science or related

Tools

Terraform

Bicep

Helm

GitHub Actions

Azure DevOps

Kubernetes

Job description

## DevSecOps Platform EngineerRochester, NY, United StatesFind out how well you match with this jobJob ID9952DevSecOps Platform Engineer – Enterprise Analytics Services# Position SummaryThe 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 AnalyticsAs 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.# MissionOwn 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 UsBuild the engineering platform powering Qualitrol's next generation of enterprise analytics services and help shape an AI-Native Product Engineering organization.#LI-PW1