Software Engineer III, Data Product

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.

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.
• 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.

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 as well as an 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.
• Total compensation includes equity, medical, dental, vision and other benefits.