Software Engineer, Software Architect, Backend Developer

Position: Staff Software Engineer
Ready to Be a Titan?

At Service Titan, we build the operating system for the trades — a comprehensive platform that powers scheduling and dispatch, CRM, payments, financing, reporting, and more for thousands of service businesses across the U.S. and beyond. We apply Machine Learning and AI throughout to automate workflows, surface insights, and help our customers run better businesses. We're a quality-driven engineering organization working on the cutting edge of the .NET

platform — designing systems for scale, solving hard technical problems, and holding a high bar for craft. If that's the kind of work that excites you, we'd love to hear from you.

We are seeking a high-impact Staff Software Engineer to serve as a technical visionary and force multiplier across our R&D organization. While you will be a foundational member of a team, your influence extends beyond a single product area – you are a process architect who ensures our implementations are robust, elegant, and scalable for the long term. In this role, you will lead through high-level design and deep hands-on execution, with roughly 70% of your time spent building core abstractions and 30% shaping the broader architectural roadmap through peer partnership and mentorship.

Because we build for high-scale performance, expert-level mastery of C# and the .NET stack is the bedrock of how you will raise the talent bar t You’ll DoOwn 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.

What You’ll Bring Deep Roots: 12+ years of professional engineering experience, with a proven track record of building the critical APIs and infrastructure that enable other engineers to succeed.

C# / .NET Mastery:
Expert-level, current "under the hood" knowledge of the Microsoft .NET technology stack (C#, .NET Core, ASP.NET MVC, Web APIs).Architectural Stewardship:
Extensive hands-on experience with distributed systems and design patterns (Saga, CQRS, Event Sourcing) that ensure system resiliency at scale.

A Data-First Mindset:
You use performance profiling and data analysis to drive architectural decisions and prove the impact of your technical recommendations.

Modern Tooling:
High proficiency with Git, SQL Server, and advanced debugging/profiling tools to optimize high-traffic environments.

A Collaborative Spirit: A proactive, "no-ego" approach to problem-solving. You are a translator who can move between deep technical details and high-level business strategy.

Education:

B.S., M.S., or PhD in Computer Science, Physics, Engineering, or a related field (or equivalent practical experience).AI Skills & Tooling We are leaning into the future of AI-assisted development and love to work with engineers who do the same:

AI as a Teammate:
Hands-on experience leveraging AI coding tools (e.g., Claude, ChatGPT, Cursor, Git Hub Copilot) to accelerate development, improve code quality, and streamline debugging workflows.

Engineering Judgment:
Ability to critically evaluate and integrate AI-generated output, applying sound engineering judgment to ensure correctness, security, and…