Senior Software Engineer, AI-Augmented Backend

Company: WEX Inc.

Location: Remote (Remote)

Salary: $121,500 - $145,500 a year

Type: Full-time

Remote: Yes

Posted: 2026-06-26

About this role

This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Boston, MA; San Francisco Bay Area, CA; Dallas, TX; Salt Lake City, UT; Seattle, WA; and Portland, ME

About the Team/ Role

Our backend team is in the middle of a large-scale platform modernization: incrementally retiring a legacy SOAP/Informix monolith in favor of a REST-based, event-driven architecture on PostgreSQL and Redis, applied through the Strangler pattern so that customer-facing services keep running without interruption.

We're looking for a Senior Software Engineer, AI-Augmented Backend who brings deep, hands-on technical depth to this effort. This is an individual-contributor role built for someone who wants to own hard problems end to end — designing the systems, writing the critical code, and raising the bar for engineering quality across the team.

If you enjoy untangling legacy systems, designing clean APIs and event pipelines, and caring about correctness in a payments environment where mistakes have real financial and compliance consequences, this role is for you.


How you’ll make an impact

  • Own the design and implementation of complex backend services in Java and Spring Boot, from architecture through production rollout and operability.
  • Drive the incremental migration of legacy functionality toward REST using the Strangler pattern.
  • Design event-driven data flows (CDC pipelines, schema evolution, idempotent consumers) that keep distributed systems consistent under load.
  • Make and document consequential architecture decisions: API contracts, data models, consistency and transactional boundaries, failure modes, and rollback strategy.
  • Practice spec-driven development: define clear, machine-readable contracts and specifications (e.g., OpenAPI, schema definitions, RFC 9457 problem formats) before implementation, so that designs are unambiguous, reviewable, and consumable by both humans and AI agents.
  • Use A...

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