Top Remote Software Engineer Jobs in Phoenix – Mesa – Scottsdale, AZ

Lead strategic design and evolution of native iOS and Android apps, own mobile roadmap and architecture (MVVM/MVI), drive offline-first data sync, CI/CD (GitHub Actions, Fastlane), telemetry and performance tuning (Kibana, Crashlytics, Pendo), mentor engineers, enforce security (OWASP MASVS) and collaborate cross-functionally to ensure scalable, maintainable mobile platforms.

Provide remote support for EBS applications, troubleshoot issues, configure Oracle ASCP modules, and lead implementations while ensuring project delivery.

As a Senior Backend Engineer, you'll build cloud-native backend services using Golang, deploy in Kubernetes, and lead architecture projects in a startup environment.

The role involves developing APIs, building internal tools, and collaborating with teams to enhance system performance while solving engineering challenges.

As a Rust Lead Senior Developer, you'll oversee the proxy service, refine the codebase, implement security measures, and guide junior developers.

As a Founding Fullstack Engineer at MathGPT, you will build and ship modern web applications using React and Typescript, focusing on creating user-friendly and efficient products.

The Amazon E-commerce Assistant will support e-commerce operations by managing Amazon accounts, optimizing listings, running PPC campaigns, and forecasting inventory. Ideal candidates are detail-oriented, proactive, and willing to learn new e-commerce systems.

The Software Engineer (Fullstack) at Sumble will develop and optimize software applications, manage data integration, enhance security, and ensure a high-quality user experience.

The Software Engineer will develop AI agents for Sazabi, focusing on anomaly detection, root cause analysis, and improving workflow reliability. Responsibilities include prototyping, system design, and working with LLMs.

Lead end-to-end technical strategy and modernization of iHerb's product catalog platform. Define architecture, data models, APIs, and service boundaries; write production code; drive cross-team technical decisions, mentorship, and AI-driven SDLC standards. Coordinate multi-team efforts, ensure engineering quality, and represent engineering across product, data science, security, and infrastructure.