Frontend Developer

International Paper Company

$83K — $121K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or related field; Master's degree accepted with 2 years relevant experience; non-related degree requires 5+ years experience.
  • 2+ years of hands-on experience with analytics applications and dashboards.
  • Experience developing API integrations, data pipelines, and automated workflows.
  • Proficient in SQL databases, APIs, and manufacturing system data.
  • Demonstrated ability to create user-friendly UI/UX designs.

Responsibilities

  • Build and maintain interfaces with internal and external vendors using a pre-approved software stack.
  • Accelerate AI adoption to standardize scalable solutions across functions.
  • Develop applications for analytics and reporting used by diverse teams.
  • Integrate backend logic including APIs and data pipelines into user interfaces.
  • Support data-driven decision-making tools across various levels of the organization.
  • Evaluate and implement AI-tools, ensuring their responsible use in business operations.
  • Translate business requirements into scalable analytical solutions.

Benefits

  • Work in a collaborative, innovative environment that embraces new technologies.
  • Opportunity to engage in continuous learning and skills development.
  • Involvement in meaningful projects that drive operational improvements.
  • Access to state-of-the-art resources and a supportive team culture.
Full Job Description
Job Description

Frontend Developer

Pay Rate:

$83,000 - $121,000

PL 11

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
  • Machine Learning (ML) outputs to User Interface (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 backend development
  • Focus on frontend development, full process including design and backend connection
  • 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:
    • 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.


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