Staff Software Engineer

Aspire, a ServiceTitan company, provides cloud-based business management software for field-service businesses. The Staff Software Engineer sets architectural direction across complex domains, leads delivery of scalable distributed systems and foundational infrastructure, and advances engineering practices through technical leadership and mentoring.

Responsibilities:

• Own the Architectural Vision: Serve as the go-to technical authority not just for a squad, but for complex cross-functional domains, ensuring our systems remain scalable and a point of pride for the entire organization
• Lead through Execution: Drive the delivery of high-complexity systems and foundational abstractions, taking projects from initial architectural sketch to successful production launch
• Architect for Global Scale: Design and implement cloud-native patterns (Docker/Kubernetes) and distributed systems that handle the massive throughput of a public-stage SaaS platform
• Nurture the Ecosystem: Proactively identify systemic technical debt and lead initiatives to improve our shared engineering engine with a long-term, business-owner mindset
• Elevate the Bar: Maintain our high standards for clean code and performance. You will be a key contributor to our engineering best practices and play a vital role in expanding our interview bench and mentoring senior talent
• Collaborate as a Strategic Partner: Partner with Product, Design, and Engineering leadership to explore "the art of the possible," translating executive-level goals into technical reality

Requirements:

• 12+ years of professional engineering experience, with a proven track record of building the critical APIs and infrastructure that enable other engineers to succeed
• Expert-level, current "under the hood" knowledge of the Microsoft .NET technology stack (C#, .NET Core, ASP.NET MVC, Web APIs)
• Extensive hands-on experience with distributed systems and design patterns (Saga, CQRS, Event Sourcing) that ensure system resiliency at scale
• You use performance profiling and data analysis to drive architectural decisions and prove the impact of your technical recommendations
• High proficiency with Git, SQL Server, and advanced debugging/profiling tools to optimize high-traffic environments
• A proactive, "no-ego" approach to problem-solving
• You are a translator who can move between deep technical details and high-level business strategy
• B.S., M.S., or PhD in Computer Science, Physics, Engineering, or a related field (or equivalent practical experience)
• Hands-on experience leveraging AI coding tools (e.g., Claude, ChatGPT, Cursor, GitHub Copilot) to accelerate development, improve code quality, and streamline debugging workflows
• Ability to critically evaluate and integrate AI-generated output, applying sound engineering judgment to ensure correctness, security, and maintainability
• Experience integrating LLM APIs (e.g., OpenAI, Anthropic) or AI services into production applications
• Eagerness to stay current with the rapidly evolving AI tooling landscape and champion best practices for AI-assisted development within the team