Remote job · Sales
Lead Software Engineer, Merchandising Technology
In one line: Lead Software Engineer, Merchandising Technology is a remote role in the United States at a large sporting goods retailer.
- Remote (US)
- A large sporting goods retailer
- Posted 7 Oct 2026
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https://keywordise.com/mcpApply to Keywordise job znm6g72pbhAbout the role
Lead technical design and delivery for a merchandising platform, guiding an inventory planning and purchasing initiative. Work with product and architecture partners in an agile, remote team.
At a glance
- PayNot stated in the posting
- Remote scopeRemote, United States
- Posted7 Oct 2026
- Last checked19 Oct 2026
What you will do
- Direct the design and build of complex new and existing software for the product team
- Track, diagnose and fix the most complex defects to keep software fully operational
- Partner with cross-functional teams to shape products and services using data
- Recommend innovative solutions that better serve user, business, performance and quality needs
- Own a roadmap that keeps development work aligned with business priorities
- Plan medium and long-term work schedules and coordinate delivery across the team
What they look for
- Experience leading technical design and implementation on complex software projects
- Strong background with Angular frontends and .NET Core backend APIs
- Hands-on knowledge of Azure Kubernetes Service and Azure SQL Server
- Familiarity with RabbitMQ, MassTransit and AgGrid
- Ability to mentor engineers and serve as technical contact for stakeholders
- Comfort working in an agile, collaborative, remote environment
Questions about this job
Can I do this job remotely, and from which countries?
The posting lists it as remote for people in the United States.
What does this job pay?
The posting does not state a salary, so there is no figure to quote.
What experience is needed?
The posting asks for: experience leading technical design and implementation on complex software projects; strong background with Angular frontends and.NET Core backend APIs; hands-on knowledge of Azure Kubernetes Service and Azure SQL Server.
How do I apply with Keywordise AI?
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