Senior Platform Engineer

Role Overview

• Own end-to-end decisions on how our platform handles real-time freight events at scale, from event ingestion across dozens of carrier sources, through data normalization, through ML-powered risk and ETA models, to the user-visible recommendations our enterprise customers act on.
• Make architecture trade-offs explicit and defensible. When you choose Redis over Postgres for a use case, you can name the specific constraint that made that the right call and you can defend that decision against engineering, data science, and customer success, all of whom have different concerns.
• Collaborate closely with our Data and Product team to integrate model outputs into production systems without breaking the latency budget. You decide whether a new prediction lives in real-time inference, batch precompute, or a hybrid and you defend why.
• Instrument what you build, find real bottlenecks, and pick fixes that survive the next 10× of growth, not just the next sprint. You measure before you optimize, and your numbers are reproducible.
• Raise the engineering bar across the team. You own sub-systems end-to-end, debug production issues across the stack, and participate in architectural decisions that shape the next 12 months of platform evolution.
• Help shape a high-performing engineering culture. IC/senior engineers here don't gatekeep, they teach the framing they used to get there. You mentor through code review and design discussions, shape the operating norms the team works by, and model the standard for the engineers around you.

Requirements

• Bachelor's or Master's Degree in Computer Science, Electrical Engineering or equivalent work experience in the field.
• Work Experience: 5+ years building production systems. Strong preference for time spent as an early engineering hire at a startup where you owned scope end-to-end, not just shipped tickets.
• Early Engineering Hire: You've been an early engineering hire at a startup where you built a technical product from scratch up to scale. We'd love to hear your learnings from doing that.
• First Principles Thinker: When you explain a past decision, the trade-offs come out before the tools. You name the constraint, the alternatives you considered, and why you picked what you picked. You don't reach for a new framework when a tighter use of an existing tool would do the job.
• You use AI tools (Copilot, Cursor, Claude, etc.) where they make you faster, and you know exactly where they fall short. You read what they produce, you don't just paste it. You can defend a code path the AI suggested, or override it with reasoning the AI couldn't have known. You flag AI-assisted decisions in code review and submissions without being asked. We treat AI as a tool that makes good thinking faster, not a shortcut around thinking.
• You weigh latency, capacity, failure modes, operability, and evolution in the same conversation, not just whichever axis the ticket happens to mention. You can describe how parts of a system fit together AND name what would break first under load.
• If you cite a number, you know exactly how it was measured. If you mention a tool, you know where it actually breaks. You've debugged a production issue below the application layer, kernel, network, storage, query planner.
• Honest About Limits: You flag what you didn't get to. Your code matches your docs. You're comfortable saying "I don't know" and going to find out and you'd rather ship a smaller, defended thing than a larger, undefended one.
• Empathetic Communicator: You can communicate nuanced ideas clearly, from real-time remote brainstorming to explaining a technical decision in writing. You may be opinionated, but in disagreements you engage thoughtfully with other perspectives and can compromise when needed.
• Tech Stack: We work in Python on AWS: FastAPI/Flask, PostgreSQL, Redis, an ML integration layer, and observability tooling we're actively improving. The specific stack matters less than how you reason about it. Strong engineers in any stack pick ours up quickly. If you spent the last 5 years exclusively on one framework and have never had to defend a choice between two, this probably isn't the role.

Tech Stack

• AWS
• Flask
• Postgres
• Python
• Redis

Benefits

• Globally distributed, remote-first flexibility: Work with a fully distributed team across Asia and Europe, built on trust, accountability, and collaboration. Our diversity of perspectives fuels innovation and keeps us curious.
• Tech-first team: You’ll work with like-minded individuals who share a passion for solving difficult problems using technology.
• Accelerated growth: Compress the learning curve in a couple of years by owning the web app from day one as your own baby. We are building our company to be the next B2B market leader in predictive global supply chains and you’ll be a major part of our story.
• Impact you can see: With a lean structure, your work is effective from the start. You’ll see the results of your ideas and decisions directly moving the business forward.