Software Engineer - Resiliency and Platform Engineering

This role is not eligible for sponsorship and is a four days onsite hybrid at our Northern Scottsdale office. Choice Hotels has an exciting new opportunity as our Staff Software Engineer, Resiliency & Platform Engineering in the Sky Touch Technology division. Sky Touch Technology is an independently operated division of Choice Hotels that provides the most widely used cloud-based (SaaS) hotel property management system.

As a key member of our division, you will help strengthen the resiliency, safety, and operability of a large‑scale, multi‑tenant SaaS platform by improving foundational platform capabilities, runtime behavior, and the developer experience used to build and operate our systems.

Important note: This role writes production code, but not for feature delivery. Coding is focused on platform-level resiliency, developer enablement, observability, and systemic improvements rather than customer‑facing feature enhancements.

• Design and implement platform-level capabilities including shared libraries, frameworks, tooling, automation, and guardrails that improve application resiliency, runtime safety, and developer experience across the ecosystem, favoring leverage and durability over short‑term delivery.
• Strengthen foundational platform and runtime behavior by identifying and eliminating systemic failure modes such as JVM memory leaks, unsafe defaults, brittle error handling, poor failure propagation, and resource exhaustion.
• Improve how software is built and operated at scale by defining and rolling out developer‑facing standards and paved roads for resiliency, observability, error handling, and operational readiness.
• Define, standardize, and evolve logging, monitoring, alerting, and observability practices that improve signal quality, reduce noise, and enable faster diagnosis and recovery.
• Partner closely with Principal Software Engineers, Solution Architects, and Engineering Managers to identify systemic risks and translate them into well‑scoped platform and resiliency initiatives and technical work.
• Operate across software engineering resiliency, data engineering resiliency, and platform engineering teams to identify cross‑cutting risks, design shared solutions, and raise the technical bar, rather than owning individual team backlogs.
• Engage directly in application codebases, particularly during ramp‑up, to understand real‑world system behavior, identify failure patterns, and validate resiliency improvements. Exit application‑level work once learning is complete and systemic improvements are identified.
• Participate in incident postmortems and operational reviews to identify recurring patterns and ensure lessons learned are translated into durable platform or resiliency improvements, not one‑off fixes.
• Evaluate, prototype, and introduce tools and technologies that measurably improve developer productivity, platform safety, and application resiliency, prioritizing adoption, simplicity, and long‑term impact.
• Apply AI‑assisted development, diagnostics, and operational tools where they demonstrably improve engineering productivity, root cause analysis, signal quality, or resiliency outcomes.
• Influence engineering practices and technical direction through design reviews, reference implementations, mentorship, and technical leadership rather than formal authority or delivery ownership.

• Bachelor’s degree in computer science, or a related technical field, or equivalent practical experience building and operating production systems.
• Typically, 8–10+ years of hands‑on experience designing, building, and supporting large‑scale software systems in production environments.
• Hands‑on experience designing, building, and operating Java‑based services, including Spring Boot applications running in virtualized and containerized environments.
• Experience developing and supporting cloud‑native and serverless workloads, including Python‑based services and event‑driven architectures.
• Strong practical experience working in AWS public cloud environments, with an understanding of how cloud‑managed services influence reliability, scalability, and operational behavior.
• Wo…