Senior Software Engineer

Banner Solutions is a premier national wholesale distributor specializing in commercial door hardware, access control systems, and security hardware products across CSI Divisions 8, 10, and 28. As a leader in the commercial door and security hardware industry, we represent more than 260 manufacturers and deliver industry-leading service with a 98%+ same-day ship rate.

Our customers include Contract Hardware Dealers, Glass & Glazing Dealers, Building Material Suppliers, Electronic Access Integrators, Locksmiths, Institutional End Users, e-tailers, and retailers nationwide. Through our nationwide distribution network, deep product expertise, and strong manufacturer partnerships, we help customers secure and complete buildings across the country.

Banner Solutions is built on a culture of ownership, collaboration, and accountability. Our team members are empowered to make an impact while delivering the expertise, service, and reliability our customers depend on.

The Senior Software Engineer — .NET / Integration / Automation will serve as a hands-on technical contributor within Banner Solutions' Chief Digital Officer organization, working directly with the Systems Architect to build and maintain the integrations, automation workflows, and AI-powered systems that run Banner's operations.

Reporting directly to the Systems Architect
, this role is part of the CDO organization and operates across multiple platforms and business functions. The Senior Software Engineer will take architectural direction and independently carry substantial features or integrations through to completion.

This is not a ticket-driven role. The ideal candidate takes a well-framed problem, asks the right questions, makes the technical decisions that are theirs to make, and delivers working software — pulling the Systems Architect back in at the decision points that actually matter.

• Build and maintain integration workflows connecting core platforms including P21 (ERP), Salesforce, Akeneo (PIM), Algolia, and Canals.ai — "make these three systems work together reliably" is a common problem here
• Design and implement APIs, background jobs, and automation pipelines that handle real transactional volume reliably
• Debug across system boundaries — trace problems through multiple systems rather than stopping at the code immediately in front of you
• Ensure integrations perform well, fail gracefully, and are maintainable by the team over time
• Write code with good testing instincts: how do we prove this works, what happens when it fails, and what edge cases are we missing?

• Build integrations against LLM APIs — OpenAI, Anthropic, or similar — to power Banner's automation initiatives in areas including order processing, customer communications, and purchasing operations
• Apply AI development tools fluently as part of daily work: to move faster, explore approaches, and think more thoroughly — while applying independent engineering judgment to what the tools produce
• Contribute to automation workflows that reduce manual labor and improve operational consistency across Banner's distribution business
• Understand the specific failure mode of AI-assisted development: the risk isn't code that breaks loudly on deploy. It's a confident answer with a wrong number that ships cleanly and nobody questions for six months. We need someone who treats AI output the way good engineers treat untested code — verify it, question it, and own the result.