Principal Software Engineer, Data Products

đź•’ February 25

🇺🇸 United States – Remote

đź’µ $212k - $287k / year

⏰ Full Time

đź”´ Lead

đźš° Data Engineer

🦅 H1B Visa Sponsor

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đź‘» Ghost score 45%

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Logo of Shippo

Shippo

201 - 500 employees

Founded 2013

📦 Logistics

📣 Marketing

đź’Ľ Consulting

đź’° $50M Series E - Shippo on 2021-06

Logistics • Marketing • Consulting

Shippo is a shipping and logistics API and SaaS platform for e-commerce businesses. It provides tools to compare carrier rates, create and buy shipping labels, track packages, and manage returns through a branded short domain and developer-friendly integrations. Shippo targets online retailers and marketplaces looking to streamline shipping operations and reduce fulfillment costs.

đź“‹ Description

• Set the engineering standard for design review and code review across the Data organization • Raise standards for testing, observability, and operational readiness • Turn repeated solutions into reusable, documented primitives • Pair with, mentor, and hand off ownership to emerging technical leaders • Design and build interfaces between application services and ML and data systems • Write reference implementations • Author technical RFCs for data, API, and application architecture • Run architecture and design reviews • Set performance, security, and reliability standards for application services calling data and ML systems • Ensure analytical and data engineering work becomes secure, high-quality, maintainable, and performant production systems • Work directly with data scientists and data engineers to remove workflow friction • Ensure data products deliver customer and business impact • Balance speed to market against architecture and explain tradeoffs • Advise on ML development workflows from experimentation through training, tracking, registration, validation, deployment, monitoring, and retraining • Build and evaluate agentic workflows against real traffic • Harden valuable agentic workflows and discontinue those that do not deliver value

🎯 Requirements

• 10+ years of software engineering experience with deep ownership of large-scale production systems • Track record as a principal-level individual contributor • Experience setting technical direction across teams, writing RFCs, running design reviews, and delivering multi-quarter roadmaps without direct authority • Depth in distributed, data-intensive production systems • Experience making design decisions driven by latency, throughput, availability, and cost • Experience operating distributed production systems • Deep Kubernetes expertise • Experience building and deploying containerized production services • Ability to navigate autoscaling, resource constraints, and resilience patterns • Ability to define deployment standards for ML workloads • Strong working experience alongside data scientists and data engineers • Experience taking analytical or prototype work and making it production grade • Proven adoption and mentorship • Experience building agentic workflows • Bonus: understanding of effective ML development workflows • Bonus: experience building agentic AI solutions for customers, including evaluation harnesses, guardrails, and observability • Bonus: hands-on Databricks experience, specifically with ML tooling • Bonus: experience with feature store patterns and online-offline consistency

🏖️ Benefits

• Healthcare coverage for medical, dental, and vision (90% covered by the company, including dependents) • Pets coverage 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 professional and career growth • Individual learning stipend for personal and focused growth • Shippos Everywhere program with regular team and company off-sites and local Shippos gatherings • Equity • Medical, dental, and vision benefits • Remote-first work arrangements

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