Develop and maintain high-throughput backend services using Python and FastAPI while building customer-facing UI surfaces with React. Architect event-driven integrations and data models to power ML-based recommendations, analytics, and business rules automation.
Shipping & handling responsibilities
Backend Engineering
- Build and maintain Python (FastAPI) services with async patterns suited to high-throughput, low-latency workloads.
- Design and implement event-driven integrations (Kafka) to keep data products synchronized with upstream business events.
- Architect PostgreSQL data models that balance query performance with auditability and long-term maintainability.
- Develop APIs that power customer-facing data products—spanning business rules automation, ML-based recommendations, analytics, and configuration systems.
- Contribute to API design, service decomposition, and cross-team technical reviews.
Frontend Engineering
- Build and own React UI surfaces for customer-facing data product features—including management interfaces, dashboards, and configuration tools.
- Collaborate with design and product to translate requirements into polished, accessible interfaces without creating dependency on shared frontend capacity.
- Integrate frontend surfaces with backend APIs across a range of data product types: rules engines, ML-powered features, reporting, and data exploration.
- Maintain component quality, state management patterns, and end-to-end test coverage for the features you ship.
Data Product Development
- Contribute across the full spectrum of the Data Products team’s work—business rules automation, ML-based APIs, customer-facing analytics, and intelligent recommendation systems.
- Partner with data science and ML teams to bring model outputs into reliable, well-instrumented production services.
- Design systems with auditability in mind: versioning, immutable event logs, and traceable decision-making where the product requires it.
- Evaluate and implement data product patterns appropriate to the problem—whether that’s a condition evaluation engine, a scoring API, or a configurable workflow.
Team Contribution
- Contribute to and deliver team-level quarterly goals, owning end-to-end quality from design through release and monitoring.
- Participate actively in story refinement, design reviews, code reviews, and incident response.
- Help onboard new team members and share knowledge through documentation and technical discussions.
- Apply AI tooling to improve your own productivity and share learnings with the team.
Your shipping requirements
Technical Expertise
- 4+ years of professional software engineering experience, including meaningful full-stack work.
- Strong Python backend skills; FastAPI experience preferred. Comfortable with async programming, dependency injection, and structured API design.
- Hands-on experience with event-driven systems (Kafka or equivalent) and designing for eventual consistency.
- Solid PostgreSQL skills: schema design, query optimization, migrations, and data modeling at scale.
- Production-level React experience: component architecture, state management, API integration, and UI testing.
Craft & Ownership
- You write high-quality, reusable, and maintainable code and hold that bar in code reviews.
- You own problems end-to-end—from identifying the right solution through monitoring its production behavior.
- You evaluate technical trade-offs clearly and communicate them to teammates and stakeholders.
- You debug systematically, document what you’ve tried, and escalate strategically when blocked.
Collaboration & Communication
- You articulate technical concepts clearly to both technical and non-technical audiences.
- You contribute constructively to design reviews, sprint planning, and team retrospectives.
- You embrace change, disagree and commit when needed, and stay calm under pressure.
Bonus
- Domain experience in shipping, logistics, carrier APIs, or rate selection.
- Prior experience designing or building a rules engine, condition evaluation system, workflow engine, or decision tree end-to-end—both the API and the UI—from initial design through production delivery.
- Experience working closely with ML or data science teams to bring model outputs into product surfaces.
- Familiarity with LLM-based features or agent workflow systems.
Sail through the process:
Here at Shippo, we celebrate inclusivity and are committed to creating equal access to opportunities for people from all backgrounds, perspectives and geographies. These values define who we are and everything we do. All qualified individuals are encouraged to apply. If you need assistance, or a reasonable accommodation during the application and recruiting process, please contact us at accommodations@shippo.com
Shippos in the wild:
Our people, much like the packages we help ship, are all over the world. This means, through our remote-first program, “Shippos Everywhere”, our roles can be based anywhere in the US with the exception of Delaware, Nevada, Ohio, Oregon, Hawaii, New Mexico and West Virginia and many roles can be based internationally.
For locations outside of the US and Ireland, the employment contracts are powered by Rippling.com.