Software Engineer, DAT

• 2+ years with JavaScript/TypeScript
• Growth mindset with ambitions to advance to Software Engineer level
• Adaptability and openness to rapidly evolving AI technologies and tools
• Ability to work collaboratively in a team environment
• Strong problem-solving skills and attention to detail
• To help you self-assess, we use these levels: Familiarity (coursework or small project), Working knowledge (shipped code under guidance), Proficiency (can implement end-to-end independently)
• Bachelor's degree in Computer Science, related field, or equivalent practical experience
• Effective Communication & Collaboration: Ability to communicate and collaborate with a variety of individuals, including engineers, users and non-technical team members
• Independent Learning & Decision Making: Willingness to learn and make decisions independently, and the ability to ask questions effectively
• Growth Orientation: Eagerness to develop skills and advance toward Software Engineer competencies
• Adaptability: Openness to rapidly evolving AI technologies and industry changes

Desirable

• Join DAT's team as an Associate Software Engineer and be at the forefront of AI innovation in the freight and logistics industry! You'll work on cutting-edge AI tools for both internal and external use while helping maintain our existing technology stack. This is an excellent opportunity for an ambitious engineer looking to grow into a Software Engineer role while working with the latest AI technologies
• Work with Next-Generation AI Tools: Configure, integrate, and extend AI services and components (for example, AWS Bedrock, LangChain/LangSmith) to solve business problems
• Maintain & Enhance Existing Systems: Contribute to current repositories and improve codebases across our stack (Node.js/TypeScript services, AWS with Terraform, Kafka, Amazon DocumentDB, PostgreSQL, Docker/Kubernetes)
• Deliver Incrementally in an Agile Environment: Ship small, well-scoped PRs; help refine stories into tasks; estimate, demo, and iterate during 2‑week sprints with our 8‑person Scrum team
• Learn & Grow: Follow DAT Engineering standards and practices while working under the guidance of experienced engineers
• Debug & Fix Issues: Troubleshoot across development, test, and production using logs, metrics, and traces in Node.js services and AWS infrastructure
• Participate in Code Reviews and Quality Practices: Learn from feedback; write unit/integration tests; aim for team code coverage targets; practice TDD when appropriate; and document code and public APIs