Title: Senior Software Engineer

Location: Tempe, AZ (Hybrid onsite)

Salary: $125,000 - 140,000

Join a modern SaaS product team to design and build secure, scalable features for a high‑volume, multi‑tenant process‑automation platform. Partner with architects and product leaders to deliver maintainable solutions using contemporary patterns, cloud services, and thoughtful use of AI.

Your role:

• Translate business requirements into clear user stories and scalable backend architectures for a modern, multi-tenant SaaS platform.
• Lead and contribute code across backend services using Node.js and Express, with a strong focus on API design and microservices architecture.
• Own and influence architectural decisions, balancing scalability, maintainability, and pragmatic delivery.
• Participate actively in technical discussions around system design, service boundaries, and long-term platform evolution.
• Collaborate closely with engineering, product, and QA to meet sprint goals and deliver reliable, production-ready releases.
• Apply solid object-oriented and modular design principles to build clean, testable, and maintainable backend services.
• Work with AWS, Docker, Kubernetes, and modern DevOps practices to support cloud-native service deployments.
• Collaborate cross-platform with a .NET-based platform team as systems evolve and integrate.

What you’ve got: 

• 3–5+ years of production Node.js/Express experience, building and operating backend services in SaaS environments.
• Proven experience designing backend architectures, not just implementing isolated features.
• Strong JavaScript/TypeScript fundamentals and experience building scalable APIs and microservices.
• Experience working across multiple backend stacks (Node.js plus exposure to .NET, Java, Python, Go, or similar).
• Hands-on experience with AWS and cloud-native service patterns.
• Solid understanding of databases, data modeling, and writing performant queries.
• Experience delivering software in Agile/Scrum environments.
• Platform-agnostic mindset with strong engineering judgment and adaptability.
• Passion for continuous learning and using AI where it adds real value.