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Cloud Architect & Full Stack Developer

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: Nari
Full Time position
Listed on 2026-07-07
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Data Engineering
Salary/Wage Range or Industry Benchmark: 142800 - 214200 USD Yearly USD 142800.00 214200.00 YEAR
Job Description & How to Apply Below

Job Overview

Cloud Architect & Full Stack Developer – Denver, CO

Johns Manville is a leading manufacturer and marketer of premium-quality insulation, commercial roofing, glass fibers, and nonwovens. Serving customers in more than 80 countries, JM strives for excellence and innovation across building products, aerospace, automotive, and other sectors.

As the Cloud Architect & Full Stack Developer, you will lead the technical strategy, architecture and implementation of manufacturing systems, integrating Azure, Microsoft Fabric, SAP, and AI/ML technologies to drive operational efficiency and support business goals.

Pay Range: $-$ per annum. This base salary range may vary based on experience and qualifications. The position is also eligible for incentive bonuses.

Primary Purpose

To provide comprehensive technical leadership in manufacturing systems, overseeing architectural design, data integration, and implementing AI-driven analytics to enhance operational efficiency and support business objectives.

Responsibilities
  • Lead architecture, design, and deployment of manufacturing software solutions, ensuring seamless integration between plant control systems, SAP applications, and cloud services.
  • Oversee and manage code development efforts, set technical standards, and guide internal & external teams on software modifications.
  • Translate complex business requirements into robust, integrated solutions across Azure, SAP, and Microsoft Fabric.
  • Develop and design custom applications and data pipelines that support data flow from production systems to cloud environments and enable analytics & AI/ML applications.
  • Implement data integration and quality standards, leveraging Fabric architecture to streamline processing and analytics.
  • Collaborate with cross‑functional teams to integrate ML/AI algorithms into the manufacturing ecosystem, supporting predictive maintenance, quality optimization, and operational insights.
  • Architect secure & scalable solutions on Azure, ensuring data integrity and reliable transmission across systems.
  • Define & implement governance frameworks for architecture standards, data handling, and application performance.
  • Lead root‑cause analysis for production issues, coordinating with development teams to implement improvements.
  • Mentor team members, fostering skills in advanced architecture, data engineering, and AI.
  • Drive continuous improvement initiatives by identifying opportunities for automation, data‑driven insights, and advanced analytics.
  • Engage in project management, guiding technical improvements and collaborating with IT leadership on roadmap development and technology strategy.
  • Develop & maintain documentation, technical specifications, and guidelines that support sustainable growth and compliance.
Requirements

Education:

  • Bachelor’s degree in Computer Science, Engineering, or a related field.

Experience:

  • 10+ years in application development, with significant experience in SAP manufacturing systems and technical leadership.
  • Proven expertise in SAP MII, .NET, Azure, and Microsoft Fabric, and a background in data architecture, integration, and analytics.
  • Demonstrated experience applying AI/ML algorithms within manufacturing systems, enhancing predictive capabilities and process optimizations.

Technical

Skills:

  • Proficient in SAP MII, .NET, SQL, Azure cloud services, Microsoft Fabric, and data architecture.
  • Knowledge of integration protocols such as REST, SOAP, and experience with ML/AI libraries and platforms.
  • Familiarity with programming languages like C++, C#, JavaScript, and tools for managing data processing (HTML5, jQuery, XML).

Soft Skills:

  • Excellent analytical and problem‑solving skills.
  • Strong communication skills to translate complex technical concepts into actionable insights.
  • Effective project management and collaboration abilities, fostering a culture of continuous improvement.
Additional Information
  • Travel:
    Occasional travel may be required (up to 15 days per year).
  • Work Environment:
    Primarily office‑based, with visits to manufacturing sites as necessary.
Preferred Certifications
  • Azure Fundamentals or higher-level Azure certifications (e.g., Azure Solutions Architect, Azure AI Engineer).
Benefits

Johns…

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