Software Development Engineer III, Popeyes

What You'll Do

• Design, develop, and deliver features for critical guest facing, team member facing and franchisee facing digital features.
• Contribute meaningful production code across React, Node.js, and TypeScript-based systems.
• Think through performance and scalability of code handling high transaction volumes.
• Pride themselves on overall code quality through code reviews and introducing engineering best practices.
• Lead development of new features from concept through deployment, ensuring reliability and maintainability.
• Collaborate with teams and relevant stakeholders to refine requirements and to push what’s possible.
• Champion testing practices including unit, integration, and end-to-end testing.
• Foster a culture of continuous improvement, accountability, and technical excellence.
• Leverage AI-assisted development tools effectively, including writing clear prompts, authoring instruction/context files, scoping plans for execution, and reviewing AI-generated code with the same rigor as human-written code.

What You'll Need To Succeed

• 3+ years of professional software engineering experience, including shipping features that touch millions of users, quickly and efficiently.
• Bachelor’s degree in Computer Science or related field, or equivalent industry experience.
• Strong proficiency in JavaScript/TypeScript, React, and Node.js.
• Experience with GraphQL (Apollo Federation preferred).
• Cloud expertise, preferably AWS (Lambda, API Gateway, DynamoDB) and Infrastructure as Code (Terraform preferred).
• Experience with CI/CD tools (CircleCI, Jenkins, GitHub Actions) and automation pipelines.
• Familiarity with observability tools (Datadog, CloudWatch).
• Understanding of testing methodologies (A|B Testing and Experimentation).
• Excellent communication skills with the ability to articulate technical trade-offs to non-technical stakeholders.
• Experience in QSR, retail, or consumer-facing digital businesses preferred.
• Demonstrate fluency with AI coding assistants as a daily development tool, candidates should be comfortable discussing how they structure prompts, manage context, use plan/agent modes, and evaluate AI output.