Software Engineer III, Data Product

Shippo

6d•$134,000 - $181,000•Remote

About The Position

We are seeking a Software Engineer III, Data Product to join our team. In this role, you will be responsible for building and owning components of the rule evaluation engine, which is the core decision logic for Data Products. This includes authoring rules, evaluating them at scale, and exposing results to downstream systems. You will develop backend services in Python (FastAPI) for high-throughput, low-latency evaluation workloads, and work with event-driven infrastructure like Kafka to integrate the engine with data sources and consumers. You will also design and evolve data models for auditability, versioning, and reproducibility of rule outcomes, and build React interfaces for rule configuration and inspection. The role involves contributing across the Data Products team's work, including business rules automation, ML-based APIs, customer-facing analytics, and intelligent recommendation systems. You will partner with Data Science, Analytics Engineering, and Product to productionize analytical signals, instrument your work with tests, metrics, and tracing, and participate in team on-call and incident response. As you grow, you will contribute to API design, service decomposition, and technical reviews, and help onboard new team members. Effective use of AI coding tools like Claude and Cursor is also expected.

Requirements

6+ years of professional software engineering experience, with at least 2 years shipping production full-stack features.
Strong Python backend skills; FastAPI (or comparable async Python framework) experience preferred.
Hands-on experience with event-driven systems (Kafka or equivalent) in production.
Solid PostgreSQL skills, including schema design, indexing, and query performance.
Production-level React experience, including state management and integration with backend APIs.
Comfortable shipping behind feature flags, instrumenting code for observability, and iterating based on production signal.
Practiced at writing tests (unit and integration) and treating reliability as part of the work, not a follow-up task.
Strong written communication; able to write a clear design doc, scope a feature, and unblock yourself across teams.
Curious about the domain — willing to learn the shipping and logistics context deeply enough to make good product calls.

Nice To Haves

Prior experience designing or building rule engines, evaluation logic, or decision systems is a strong plus.
Domain experience in shipping, logistics, carrier APIs, or rate selection.
Experience with feature flags and progressive rollout systems.
Familiarity with observability tooling.
Experience working alongside data science or ML teams to productionize their outputs.

Responsibilities

Build and own components of the rule evaluation engine — the decision logic at the heart of Data Products — including authoring rules, evaluating them at scale, and exposing results to downstream systems.
Develop backend services in Python (FastAPI) that handle high-throughput, low-latency evaluation workloads.
Work with event-driven infrastructure (Kafka or equivalent) to integrate the engine with upstream data sources and downstream consumers.
Design and evolve data models that support auditability, versioning, and reproducibility of rule outcomes.
Build React interfaces that let merchants and internal users configure rules, inspect evaluations, and trust the system.
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, Analytics Engineering, and Product to translate analytical signals into productionized decisions.
Instrument what you ship: write meaningful tests, add metrics and tracing, and use production data to validate that changes landed as intended.
Participate in team oncall and incident response for the services you own.
Contribute to API design, service decomposition, and cross-team technical reviews as you grow into broader ownership.
Help onboard new team members and share knowledge through code reviews, design docs, and pairing.
Use AI coding tools (Claude, Cursor) effectively in your daily workflow and contribute to evolving team norms around them.

Benefits

Healthcare coverage for medical, dental, and vision (90% covered by the company, incl. dependents).
Pets coverage is also available!
Take-as-much-as-you-need vacation policy
Flexible working hours
One week-long company wide winter slow down
3 Volunteer Days Off (VTOs)
WFH stipend to set up your home office
Charity donation match up to $100
Dedicated programs, coaching, tools, and resources for your professional and career growth
Individual learning stipend for your personal and focused growth
Fun team in person time through our Shippos Everywhere program which includes regular team and company off-sites throughout the year as well as local Shippos gatherings