Ralliant

Owns and develops precision tech portfolios

DevSecOps Platform Engineer - Enterprise Analytics Services

Platform EngineeringConfirmed live in the last 24 hours

Full-timeRochester, NY, USANo salary listedIn-person

About the Job

Requirements

Bachelor's degree in Computer Science or a related discipline.
At least 5 years of experience in DevOps, Platform Engineering, Site Reliability Engineering, or DevSecOps.
Experience with Kubernetes, Docker, Linux, Terraform, Helm, GitHub Actions or Azure DevOps, and Python, Bash, or PowerShell.
Experience with Azure or AWS, Azure Arc, Azure Stack Hub, and hybrid-cloud deployments.
Knowledge of Zero Trust, identity and access management, OAuth2/OIDC, public key infrastructure, secure software development lifecycle, and industrial cybersecurity.
Experience using AI tools to automate engineering workflows.

Responsibilities

Enable 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.
Design secure continuous integration and continuous delivery pipelines using GitHub Actions and/or Azure DevOps.
Automate deployments for Azure, Azure Arc, Azure Stack Hub, Kubernetes, and customer-managed environments.
Implement static and dynamic application security testing, software bills of materials, 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.

Desired Qualifications

Experience with SAFe 6.0.

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.

#LI-PW1

About the Company

Ralliant

Owns and develops precision tech portfolios

Ralliant builds and manages a portfolio of precision technologies used in high-stakes fields like life-saving medical equipment and defense systems. Its products rely on high-precision engineering backed by the Ralliant Business System (RBS), a proprietary method that eliminates waste, strengthens capabilities, and focuses resources to speed up innovation and optimize operations. The company grows by investing in research and development while expanding its commercial reach, operating as a holding or parent that acquires and develops technologies to improve performance and efficiency for customers and shareholders. Compared with competitors, Ralliant differentiates itself through its portfolio-based approach, its formal optimization framework (RBS), and its emphasis on supplier relations and operational efficiency in critical markets. Its goal is to deliver value by delivering higher performance and more efficient solutions to its customers and investors.

Company size: Not listed
Company stage: IPO
Headquarters: Raleigh, NC
Founded: Not listed

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