over 1 year ago
Responsibilities
- Design and build backend services for decisioning, execution, capacity, job orchestration, carrier selection, real-time tracking, and post-purchase workflows
- Own complex systems from architecture through deployment, observability, and continuous production performance work
- Build and harden integrations with carrier networks, fleet systems, and partner APIs
- Collaborate with frontend, product, design, data, and operations partners to encode real-world workflows
- Improve transaction and policy infrastructure for accuracy, performance, and resilience
- Raise standards for documentation, testing, code quality, and incident response
- Make pragmatic technical decisions that advance the business without creating fragile complexity
Requirements
- 5+ years building and shipping backend systems in production with ownership of services handling real load
- Strong proficiency in Python and modern backend frameworks
- Experience with relational databases including PostgreSQL and AWS RDS
- Experience with AWS, managed cloud services, and production deployment infrastructure
- Strong scalable system design and performance optimization skills
- Experience with Go or TypeScript is a plus
- Experience with AsyncIO, event-driven architectures, or integration-heavy systems is a bonus
- Familiarity with risk, security, or compliance-driven domains is a bonus
- Experience building distributed systems processing large transaction volumes with strict reliability requirements is a bonus
- Exposure to AI or rule-based automation systems in operational contexts is a bonus
- Prior startup experience is a bonus but not required
Benefits
- San Francisco, hybrid, or remote work arrangement
- Quarterly broader team on-sites
- Competitive compensation and equity opportunity
- Flexible paid time off
- Health, dental, and vision insurance
Tech Stack
Categories
About Nash
Every mile, smarter than the Last Mile. Most logistics operations are planned days in advance. Nash plans continuously, and when the day breaks the plan, Nash finds a better one. Unify decisioning and execution across your fleets, carriers, and fulfillment networks. Set your business objective, and self-optimizing, self-healing AI agents work relentlessly until you hit it. And then beat it.