SummaryThe Full Stack Developer will design, build, deploy, and maintain scalable software solutions that support the software needs of the Plant Sciences Team. The role combines python-based full stack engineering, data pipelining, and production of ml workflows to deliver reliable business and scientific applications. The developer will contribute to ERP and related module development, user-facing applications, and specialized solutions involving geospatial data, computer vision, and bioinformatics workflows.
Key Responsibilities- Design, develop, test, and maintain full stack web applications using Python and modern front-end technologies.
- Provide ongoing software maintenance, troubleshooting, performance improvements, documentation, and production support for applications used by multiple teams.
- Develop and enhance ERP capabilities and other modular software components, including system integrations, data workflows, and user-facing features.
- Manage CI/CD pipelines in Microsoft Azure using Terraform, etc.
- Create intuitive, accessible, and responsive user interfaces that simplify complex workflows for technical and non-technical users.
- Deploy applications and services across development, test, and production environments, with appropriate logging, monitoring, security, and release practices.
- Write clean, modular, tested, and well-documented code, and participate in code reviews, architecture discussions, and technical planning.
- Work with stakeholders to prioritize enhancements, resolve defects, and balance new development with long-term system maintainability.
Typical EducationBachelor's degree in computer science or a closely related field with at least 3 years of relevant industry experience, or a master's degree with 1-2 years of relevant industry experience.
Relevant Experience- Strong Python development experience, including building full stack web applications and production of APIs or services.
- Experience with user interface development using modern web technologies and frameworks.
- Practical experience developing and deploying applications in Azure.
- Experience using Terraform or a comparable Infrastructure as Code approach for repeatable cloud deployments.
- Working knowledge of software engineering practices, including version control, automated testing, CI/CD, observability, and technical documentation.
- Ability to work across business, scientific, and technical teams and convert requirements into clear, supportable solutions.
- Experience with data science, bioinformatics workflows, scientific computing, or biological data systems.
- Experience with laboratory information management systems or other lab information systems.
- Experience with computer vision, geospatial analysis, or location-based data products.
- Professional or academic background in biology/agronomy, or a related scientific discipline.
- Experience supporting ERP systems, modular enterprise applications, or cross-system integrations.
- Experience operationalizing machine learning workflows through cloud platforms and practices.
Job Requisition ID: 27631
Travel Required: None
Location(s): SPS Irving St Building A R&D - Boise
Country: United States
