Senior Software Engineer, Data Product

Role Description

• Own the backend services that deliver EDD predictions to merchants and internal consumers — APIs, caching, contracts, and reliability under production load.
• Build Python services suited to high-throughput, low-latency workload.
• Lead API design, service decomposition, and cross-team technical reviews for data product surfaces spanning rules automation, ML-based recommendations, analytics, and configuration systems.
• Own reliability and observability across the services you build—instrumentation, alerting, runbooks, and incident response.
• Partner with data science to bring model outputs into production—owning the API layer, serving infrastructure, and operational reliability of ML-powered features.
• Build and maintain feature pipelines that bridge offline training and online inference, with an emphasis on consistency and data quality.
• Contribute to MLOps foundations for the team: model deployment patterns, versioning, rollback procedures, and experiment tracking integrations.
• Instrument systems for observability—latency, throughput, drift signals, and prediction quality—so issues surface before they reach merchants.
• Be a voice in evaluating frameworks, tooling, and architectural patterns for ML serving and make pragmatic recommendations grounded in production experience.
• Set the technical direction for backend and ML systems on the Data Products team—proposing and driving architectural decisions that balance velocity with long-term maintainability.
• Lead design reviews, raise the bar in code reviews, and establish engineering practices the team can follow.
• Mentor other engineers on backend and systems engineering.
• Apply AI tooling to your own workflow and share learnings with the team.

Qualifications

• 7+ years building production backend systems, with a meaningful chunk of that time collaborating with data and/or ML teams.
• Demonstrates ownership over large-scale projects by driving design decisions, setting scope, delegating work appropriately, and managing stakeholder expectations through execution.
• Deep Python backend skills with FastAPI (or an equivalent async framework), strong PostgreSQL fundamentals (schema design, query optimization, migrations), and hands-on experience with event-driven systems like Kafka.
• Track record of owning distributed systems through their full lifecycle: design, launch, monitoring, and iteration.
• You know how to ship changes to production safely — canary, shadow, A/B, versioning, rollback — and can judge when each is warranted versus overkill, including for ML-backed systems.
• You can instrument production systems for the signals that matter (latency, throughput, error rates), and are comfortable extending that to ML-specific signals like drift and prediction quality.
• You write high-quality, maintainable code, own problems end-to-end from design through long-tail production behavior, and hold that standard in design and code reviews.
• You communicate trade-offs clearly — including unpopular ones like "we shouldn't ship this yet" or "the bottleneck isn't the model."
• You partner well with Data Science, seeing the whole system as the team's job.

Requirements

• Bonus: Direct experience with delivery-date prediction, ETA, or other time-series prediction systems in e-commerce, logistics, or transportation.
• Domain experience in shipping, logistics, carrier APIs, or rate selection.
• Experience working in or alongside data science / ML teams — you've shipped or operated features and APIs that depended on ML models.
• Experience contributing to ML platform components (feature stores, model registries, serving infra) from the user side.
• Experience with feature stores and online/offline feature consistency.
• Hands-on experience with LLM-based features, retrieval systems, or agent workflow infrastructure.
• Prior experience operating in a senior engineering capacity, or stepping into informal technical leadership on a team.

Benefits

• Here at Shippo, we celebrate inclusivity and are committed to creating equal access to opportunities for people from all backgrounds, perspectives, and geographies.
• 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 View email address on remotive.com.

Company Description

• Our people, much like the packages we help ship, are all over the world.
• 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.
• Many roles can be based internationally.
• For locations outside of the US and Ireland, the employment contracts are powered by Rippling.com.