Accountabilities
- Design, develop, and evolve scalable backend systems and APIs that support real-time, business-critical accounting workflows.
- Build and ship features end to end, taking ownership of architecture, implementation, testing, CI/CD, monitoring, and production readiness.
- Develop robust services and APIs, with Python preferred, while selecting practical technologies and approaches suited to the problem.
- Work with complex business logic and financial data, ensuring systems are reliable, maintainable, and resilient.
- Design and optimize database structures, queries, schemas, migrations, and ORM-based data access patterns.
- Integrate third-party applications and external systems while proactively identifying edge cases, dependencies, and operational risks.
- Deploy and maintain backend services in AWS or comparable cloud environments, ensuring strong production and reliability fundamentals.
- Contribute to engineering standards and technical decisions through pragmatic problem-solving, rapid iteration, and continuous improvement.
- Take strong end-to-end ownership of challenging technical initiatives and move projects forward with a high degree of autonomy.
Requirements
- 5+ years of professional backend engineering experience, with strong expertise in building production-grade backend systems.
- Proven experience working with products involving complex business logic, data-intensive workflows, or other mission-critical systems.
- Strong database expertise, including PostgreSQL, SQL, ORMs, migrations, and schema design.
- Experience deploying and operating applications on AWS or a comparable cloud platform.
- Solid understanding of CI/CD, automated testing, monitoring, and production-readiness practices.
- Strong software architecture and API development skills, with the ability to make pragmatic technical decisions based on real-world requirements.
- Python experience is highly desirable, particularly with modern frameworks such as FastAPI, Flask, or Django.
- High agency, strong ownership, and a demonstrated ability to independently identify problems and deliver solutions.
- A pragmatic and execution-oriented approach, with the ability to balance technical quality, speed, and business impact.
- Curiosity and willingness to learn new technologies, frameworks, and approaches to solving engineering challenges.
- Comfortable working in a fast-paced environment where teams deploy frequently, iterate quickly, and expect engineers to take initiative.
Benefits
- Competitive compensation of $140,000–$250,000 USD, plus approximately $50,000–$80,000 in equity.
- Remote-first work environment with a flexible approach to where you work.
- Flexible PTO, with 27 days including public holidays.
- Support for home internet, coworking spaces, and office equipment.
- Unlimited AI token usage and dedicated AI skills development and enablement.
- Learning and development budget for courses, certifications, and language learning.
- Visa sponsorship and relocation support for a potential move to New York after two years of tenure.
- Opportunities to participate in international team meetups and in-person gatherings.
- Significant equity ownership and the opportunity to grow alongside an early-stage, high-growth organization.
- Direct influence on product and engineering decisions, with substantial autonomy and responsibility.
- A high-trust, high-speed environment focused on meaningful technical challenges and continuous innovation.
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