The opportunity
At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it.
What you'll do
Embed & Map: Travel to client sites to map end-to-end supply chain processes,: audit legacy systems, uncover hidden financial leaks, and translate complex operational constraints into technical architectures.
Design and build production solutions spanning customer applications,: internal tools, APIs, data pipelines, decision-support systems, and workflow automations connecting directly to client ERPs (SAP, Oracle, NetSuite), WMS, and TMS systems
Build & Deploy Applied AI Solutions: Design and ship production-grade AI applications, agentic LLM workflows, and decision engines.
Solve Complex Mathematical Optimization: Apply optimization algorithms and analytical methods to real-world logistics challenges to problems such as routing, mode selection, inventory positioning, container utilization, consolidation, and exception prioritization.
Own the 90-Day Sprint Lifecycle: Drive high-velocity deployment sprints, taking solutions from discovery and architecture to live production deployment, operator adoption, and verified hard-dollar ROI measurement.
Productize the Field: Partner closely with Flexport core Product and Platform Engineering teams to turn custom, field-tested client builds into reusable platform capabilities for our global logistics engine.
What they're looking for
- Bridge Engineering & Operations: Work side-by-side with frontline logistics teams at ports, cross-docks, and client sites to validate code in live operational workflows, train users, and ensure lasting adoption.
- Drive Executive Decisions: Communicate technical trade-offs, system architecture, and financial outcomes directly to client technical leaders and C-suite executives.
- Educational Background: BA/BS degree or equivalent practical experience in Computer Science, Software Engineering, Operations Research, Applied Mathematics, or a related technical field.
- Full-Stack Production Engineering: 4+ years of professional software engineering experience building customer-facing or mission-critical applications (Python, TypeScript/React, SQL, REST/GraphQL APIs, relational databases, and event-driven architectures).
