Full-stack Developer

Position Title:

Full-stack Developer (Analytics Developer III)

Pay Rate:

$83,000 - $121,000

Multiple factors, including Individual experience, skills and abilities will determine where an employee is ultimately placed in the pay range.

Category/Shift:

Salaried Full-Time

Physical Location:

75 5th Street NW
Atlanta, GA 30308
United States

Or

6400 Poplar Avenue

Memphis, TN

The Job You Will Perform:

Core Responsibilities

Build and maintain internal interfaces:

• Internal interfaces with pre-approved software stack with contracted SaaS vendors
• External vendor builds
• Accelerate AI adoption and standardize scalable AI solutions across manufacturing and business functions
• Develop analytics applications, dashboards, and operational reporting solutions used by manufacturing, reliability, quality, and engineering teams
• Build integrations between operational data sources, business systems, and analytical applications
• Support user-facing tools that enable data-driven decision making across mills and corporate functions

Integrate backend logic:

• APIs
• Data pipelines
• ML outputs to UI
• Process historian and manufacturing system data integrations and connections
• Data transformation, validation, and business logic supporting analytical workflows
• Predictive analytics and recommendation engines that support operational improvement initiatives

Additional General Responsibilities

• Reduce engineering bottlenecks
• Improve speed to value
• Support end to end integration of development from data extraction to backend architecture/API endpoints to frontend development with REACT and Angular frameworks
• Explore and implement advanced capabilities (agent automation, recommendations, closed-loop optimization)
• Positions the team to scale AI/analytics capabilities as AI software stack matures rather than reacting later with limited capacity
• Develop and maintain automated reporting, monitoring, and alerting solutions
• Support collection, cleansing, transformation, and governance of manufacturing and operational data
• Partner with operations, process engineers, reliability engineers, maintenance teams, and business stakeholders to identify and deliver analytics solutions
• Apply statistical analysis, machine learning, and data science techniques to support process optimization, reliability improvement, quality enhancement, and operational performance initiatives
• Evaluate and implement AI-enabled tools while validating outputs and ensuring responsible business use
• Translate operational and business requirements into scalable analytical solutions
• Identify opportunities to automate manual processes and improve existing workflows
• Support deployment, testing, documentation, and continuous improvement of analytics solutions

Preferred Experience

• Bachelor’s Degree in Computer Science, Software Engineering, Data Science, Engineering, or related field + 2 years of relevant experience; equivalent Master’s degree accepted; non-relevant bachelor’s degree requires 5+ years of equivalent hands-on experience.

• Hands-on experience developing:
  • REACT, Angular, JavaScript, Python, SQL, TypeScript, RESTful APIs, Node.js
  • Analytics applications, dashboards, and operational reporting solutions
  • API integrations, data pipelines, and automated workflows
  • Custom applications that solve manufacturing, operational, or business problems

  • User-friendly UI/UX design, including clean visual layout, intuitive navigation, error-proofing, and practical usability for business and manufacturing users

• Experience working with:
  • SQL databases, APIs, process historians, manufacturing systems, and time-series data
  • Data transformation, validation, and business logic

  • Microsoft-based development environments and tools, preferably including Azure DevOps repositories, source control, and collaboration within a Microsoft enterprise ecosystem

  • End-to-end workflows (data ingestion → processing → analytics → user interface)

• Demonstrated ability to:
  • Develop user-facing analytics tools and applications
  • Integrate applications with operational and business data sources
  • Build solutions that support manufacturing, reliability, quality, or operational improvement initiatives
  • Own projects from concept through deployment
• Application Requirements:
  • Resume

  • GitHub, portfolio, or equivalent examples of technical work; for hiring review purposes, submitted examples should not include AI-assisted builds.