Product Engineer (Tax & Banking) | San Francisco
Team: Engineering
Location: San Francisco, California
Commitment: Full Time
Workplace Type: onsite
Salary:
What you will be doing
- Backend Development: You'll be building product features end to end - domain models, business logic and API integrations that make our product just work for customers.
- Deployment & Iteration: We practice a dynamic, data-driven approach to product development. As an product engineer at Grid, you'll build towards bold milestones in well-engineered, incremental releases.
- Data Analysis: As a data-driven product, we have robust data pipelines and analytics infrastructure. To be successful at Grid, you'll utilize SQL and other analysis tools to evaluate product and system performance regularly.
- Debugging Evented Systems: Grid's backend makes heavy use of pubsub. Testing and debugging complex state machines, in order to create a seamless experience for all users is key.
- Shipping to Production: You'll have access to a rapid CI/CD process that enables you to ship to production on the daily. As an engineer, you'll own your implementations end to end and respond to production incidents as needed.
About you
- Backend Software Engineer: Significant experience (5+ years) writing consumer-grade backend software, ideally in Go (golang) deployed on GCP.
- Startup Person: You seek high growth opportunities and are constantly learning about the world around you. You feel at home with dynamic decision making and an iterative approach.
- Experience with FinTech or other complex domains: End-to-end understanding of product engineering in an complex environment, such as financial services, health, insurance, etc.
- Experience prioritizing customers and user experience: We're looking for people who make complicated things simple. Financial services tend to be unnecessarily complex by default. We aspire towards lightweight UX that's quick and fun for our users.
- Experience with Data-oriented backends: Proven experience in evented systems, data acquisition (screen scraping, crawling), data normalization and API integration is a plus.
- Autonomy and Initiative: Ability to work independently and take ownership of projects, showcasing a proactive approach to identifying key leverage points for data products.
- Curiosity and Optimism: People who are constantly asking why the world around them work the way it does, and who have the will to change it.
- Self Starter: Confidence to prioritize work and delivery demonstrable results on a tight cadence.
- Domain Knowledge: Demonstrated experience or understanding of web scrapers, data acquisition and normalization. Familiarity with the tax code or financial modeling is nice to have but not required.
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