Lead Backend Engineer

Datatruck is an AI-native, all-in-one Transportation Management System (TMS) built for modern trucking operations—helping carriers, brokers, hybrids, private fleets, and enterprise teams run everything from dispatch → delivery → invoicing → financial visibility in one platform.

We’re growing fast: trusted by 1,000+ companies, processing $1.9B+ freight in 2025, and shipping 600+ product updates in 2025.

Datatruck is built to integrate with the ecosystem of trucking teams already relying on (ELDs, factoring, fuel, toll, payroll, email, load boards, BI/data tools, and more), with over 160 integrations, plus APIs & webhooks for custom connectivity.

What it’s like to work here: startup pace, high ownership, tight feedback loops, and the expectation that you’ll take end-to-end ownership and ship outcomes (not just tasks).

This is a full-time remote role for a Lead Backend Engineer. As part of this role, you will design, develop, and maintain backend systems and software architecture to support Datatruck's platform. Responsibilities include implementing best practices in backend web development, writing efficient code, and ensuring scalability and security of APIs. You will collaborate with cross-functional teams, contribute to technical decisions, and mentor junior developers to ensure high-quality codebase development.

• Design, build, and maintain backend services and APIs that power our platform
• Own features end-to-end: from system design to deployment to monitoring
• Make architectural decisions that balance speed with scalability
• Write clean, testable, maintainable code with proper documentation
• Collaborate with frontend engineers, product, and other stakeholders
• Participate in code reviews and mentor junior engineers
• Help shape our engineering culture and best practices

• 3+ years of backend development experience with Python as your primary language
• Strong experience with web frameworks (FastAPI, Django, Flask)
• Proficiency with databases (Postgre
  
  SQL, Redis, etc.) and data modeling
• Experience building and consuming RESTful APIs and/or GraphQL
• Comfortable with cloud platforms (AWS, GCP, or Azure)
• Understanding of system design, scalability, and performance optimization
• Experience with CI/CD, testing, and monitoring tools

• Experience with microservices architecture
• Background in distributed systems or data-intensive applications
• Contributions to open source projects
• Previous startup experience

• Ship features, not excuses
• Debug production issues when needed (we rotate, but ownership matters)
• Can work independently without constant oversight