Startups

Principal Software Engineer, Data Products

Shippo · Remote (United States) · Remote

← All jobs
About Shippo

About Shippo At Shippo, our vision is bold and clear: we are the shipping layer of the internet. Our mission is to make every merchant successful through excellent shipping, delivering world-class logistics technology and infrastructure. Backed by Bessemer, 500 Global and USV.

About the role

For locations outside of the US and Ireland, the employment contracts are powered by Remote.com (all Shippo perks still apply - including equity!). What we want to emphasize is that you can be successful at Shippo regardless of location.

What they're looking for

  • Set the bar in design review and code review by demonstrating it
  • Raise the standard for testing, observability, and operational readiness across the Data org
  • Turn repeated solutions into reusable primitives. Document them so the next team does not need you
  • Grow the next set of technical leaders. Pair, mentor, and hand off ownership
  • Design and build the interfaces where Shippo's application services meet our ML and data systems. Write the reference implementation, not only the design doc
  • Author technical RFCs to guide data, API, and application architecture. Run the reviews that make those decisions hold
More about this role

Shipping & handling responsibilities

Engineering rigor

  • Set the bar in design review and code review by demonstrating it.
  • Raise the standard for testing, observability, and operational readiness across the Data org.
  • Turn repeated solutions into reusable primitives. Document them so the next team does not need you.
  • Grow the next set of technical leaders. Pair, mentor, and hand off ownership.

Architecture across engineering, data science, and data platform

  • Design and build the interfaces where Shippo's application services meet our ML and data systems. Write the reference implementation, not only the design doc.
  • Author technical RFCs to guide data, API, and application architecture. Run the reviews that make those decisions hold.
  • Set the performance, security and reliability standards for how application services call data and ML systems.

Data to production

  • Ensure analytical and data engineering work turn into systems that meet our bar for security, quality, maintainability, and performance.
  • Pragmatic approach working directly with data scientists and data engineers to find the friction in their workflow, then remove it.
  • Ensure our data products deliver customer...

Read the full posting on Shippo's site ↗

Engineering

Build your edge while you search

Free tools for founders and investors, plus VC Unfiltered, our take on startups, venture and the people who build them.