shopltk

Staff Software Engineer, Commissions and Payouts

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At a Glance

Location
United States
Posted
2026-02-17T16:53:46-05:00

Key Requirements

Required Skills

AWSCI/CDERPKafkaMicroservicesPostgreSQLREST API

Domain Knowledge

  • Accounting
  • Engineering
  • Finance

Benefits & Perks

Health Insurance

TK company matching Medical Insurance, Vision Insurance, Dental Insurance Pai

Requirements

Architect, design, develop, deploy and operate services that are responsible for processing LTK’s revenue before sending it to the ERP-system

Drive good engineering practices within your team(s) and define and teach these

Provide leadership in staying up to date with the developments in relevant technologies and market trends to identify enhancements

Evaluate external vendors and partners as needed from time to time

What you will bring to LTK

Strong business acumen to understand all aspects of the businesses including sales, order processing, operations/fulfillment and accounting

Compensation & Benefits

401(k) with LTK company matching

Medical Insurance, Vision Insurance, Dental Insurance

Paid Maternity Leave and Paid Paternity Leave

Summer Fridays and Flexible PTO

Responsibilities

The Commissions and Payout Engineering team is responsible for streamlining revenue financial workflows to ensure our Finance and Accounting teams can close the books with a high degree of accuracy and confidence.

The systems we build need to be scalable and accurate as we handle revenue operations for LTK.

Some of the projects we are focused on are building infrastructure for revenue affiliate integration, settlement, and cash reconciliation of all transactions and payments, generating invoices for our bundle partners, and revenue partner workflows.

About the Company

Experience of working in a SOX-compliant environment before is a plus but not required

Technical Skills:

10+ years with software backend systems, architectures and infrastructure.

5+ years with the data architecture, data processing tools and reporting technologies.

History of building highly scalable distributed systems and processes in a cloud environment.

Proven experience designing and scalable reporting data stores.