Interstates is looking for a developer to turn abstract business problems into smart, scalable solutions that may include an AI component, connecting systems, translating business needs into working software, and leveraging AI tools where they add real value.
Requirements
- Strong programming skills in Python, C, or Java.
- Solid understanding of data structures, algorithms, and computational complexity.
- Experience working with both structured and unstructured data.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is a plus.
- Familiarity with data processing and transformation tools like Pandas and NumPy.
- Proficient in working with APIs, SQL, and potentially NoSQL databases.
- Experience using Git for version control and collaborating on shared codebases.
Responsibilities
-
- Integrate systems and services using APIs/SDKs (REST/GraphQL, webhooks, OAuth, service accounts).
-
- Translate business requirements into modular, testable application components and integrations.
-
- Build workflow automations that streamline processes (e.g., generating documentation, orchestrating approvals, accelerating CAD adjacent tasks like lighting placement with AI tools when appropriate).
-
- Develop and maintain GPT extensions/integrations, connectors, and guardrails in partnership with the Product Owner and PM.
-
- Implement best practices for code quality, testing, CI/CD, observability, and security.
-
- Document integrations, interfaces, and operational runbooks.
-
- Support releases and resolve production issues for owned integrations.
Other
- Bachelor’s or master’s degree in computer science, Engineering, Mathematics, or a related field in both development and production settings.
- Based near Sioux Falls, SD; Sioux Center, IA; or Omaha, NE, with hybrid flexibility.
- The amount of travel will vary according to business requirements (may be up to 10%).
- This is an in-person role, and the selected candidate must be in one of the listed locations.
- Collaborative mindset and ability to work independently and cross-functionally in dynamic environments.
