CargoSprint
Lead Python Engineer
Remote (United States)
Sponsorship not specifiedDetected 16 days ago
PythonBackend DevelopmentDevOpsCollaborationMentoring
About the role
- You'll set the technical direction, raise the engineering bar, and unblock the team while staying hands-on in the codebase.
- You should be comfortable turning ideas into reliable software that solves real user needs, and equally comfortable coaching other engineers to do the same.
- You should care about shipping quickly, making sound technical decisions, measuring results, growing the people around you, and improving over time in a high-ownership, high-autonomy environment.
Responsibilities
- You will lead a small engineering team and design, architect, build, and evolve backend services that power critical parts of our platform.
- Our workplace fosters innovation, collaboration, and the drive to solve industry challenges.
- About You We're looking for a senior, hands-on Python engineer who can lead a fast-moving, talented team and take ideas from concept to production while owning the full cycle along the way.
- About the role You will lead a small engineering team and design, architect, build, and evolve backend services that power critical parts of our platform.
- We strive to create a welcoming and supportive community for employees from all backgrounds.
Requirements
- This role is ideal for a player-coach who thrives in startup-like environments, moves quickly, operates with a high degree of ownership, set a high bar for the team and already leverages AI to work faster and better.
Benefits
- CargoSprint is dedicated to delivering game-changing solutions that connect the cargo industry like never before, and we are looking for driven, enthusiastic people who share our vision of innovation and excellence.
Company info
- Our Commitment to an Extraordinary Work Environment At CargoSprint, we value diversity and inclusivity.
- If you think we are a great mutual fit, we want hear from you!
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This listing is sourced directly from CargoSprint's careers page and normalized into a canonical job model.