C# Application Developer — POS & Integrations (on-site)

C# Application Developer — POS & Integrations (on-site) - Plano

Welcome to Ziosk, where we empower restaurants to focus on what matters most: the guest experience!

Have you ever used a tablet to pay at a restaurant?

We pioneered the pay-at-the-table concept and we’re cooking up a plan to transform the restaurant industry.

Our recipe for success has been adapting and growing to exceed the needs of our clients, such as Olive Garden, Texas Roadhouse, Chili’s and more – helping them create an experience that keeps guests coming back.

Today we have a full menu of solutions, from hardware to software to cloud-based and AI-driven products, all focused on helping them create the best guest experience possible to grow their bottom line.

Our secret sauce?

Our people!

Every day, they’re cooking up bold solutions, making Ziosk the leading pay-at-the-table provider in the industry.

Want a seat at our table?

Ziosk is looking for a mid-level C# Application Developer to join our POS & Integrations team.

You will build and maintain the software powering real-time payment processing, third-party integrations, and the core POS experience across thousands of restaurant locations nationwide.

In this role, you will also leverage AI-assisted development tooling to accelerate coding, debugging, and integration work — helping the team ship faster and more reliably.

The successful candidate is self-motivated with strong attention to detail and the ability to manage priorities in a fast-paced, deadline-driven environment.

• Develop and maintain C# applications powering Ziosk’s POS, payments, and loyalty platforms.
• Build and integrate with third-party APIs including payment processors, loyalty providers, and restaurant management systems.
• Contribute to core POS interface development, ensuring a seamless payment experience for millions of restaurant guests.
• Use AI-assisted development tools (e.g., Cursor, Claude-Code, LLM-based code assist) as part of daily engineering workflow to accelerate development and reduce repetitive coding tasks.
• Identify recurring integration patterns and contribute to AI-assisted automation to reduce manual debugging and integration effort.