Senior Backend Engineer

About US

We're building the first end-to-end solution to transform the trades, a trillion-dollar global industry that's been underserved by technology for far too long. Recognized by Forbes as one of the top cloud companies, we use our deep industry knowledge and technical expertise to develop solutions that empower everyday entrepreneurs to grow and scale their businesses. While our vision is bold, we always stay humble. Join us. We're just getting started.

Ready to be a Titan

As a Senior Corporate Software Engineer will be part of the engineering team at ServiceTitan to help improve our products and build new ones. This is an exciting role for an engineer to come in and lead the major feature development in the rapidly growing startup. We build for perfection, use the most modern tools on Microsoft .NET platform, have an amazing culture, and love to solve complex problems. If you share the same values, you might find yourself in a perfect company.

What you'll do:

• Architect, design, and implement user-facing features end-to-end.
• Work with product managers, designers, and engineers to prototype and implement product features.
• Communicate effectively with other engineers, product managers, customers, and partners.
• 70% development / 30% working on requirements, mentorship, supervision.
• 6+ years of industry experience.

Expert-level knowledge of:

• Microsoft .NET technology stack (C# / .NET, ASP.NET MVC, Web APIs) and SQL databases (Microsoft SQL Server or any other).
• HTML5 and JavaScript; experience such front-end frameworks as React and Knockout.js is a plus.
• Ability to empathize with our users and champion for their experience.
• Ability to use data-driven approach for product decisions. Experience with A/B testing is a plus.
• Strong communication and technical writing skills.
• Experience with Git, unit testing, debugging, profiling, Visual Studio, JIRA, and other tools that are typically used by developers on Microsoft technology stack.
• B.S., M.S. or PhD in Computer Science, Physics, Engineering or a related technical field.
• Hands-on, daily experience using AI coding assistants (Cursor, GitHub Copilot, Claude Code, or similar) to write, refactor, debug, or review code
• Working understanding of how LLMs function at a practical level (context windows, prompting, hallucination risks, strengths/limitations) — enough to use them effectively and evaluate their output critically, not academic ML expertise
• General awareness of current AI trends and tools relevant to software engineering, and genuine interest in keeping that knowledge current
• Track record of leading technical projects end-to-end with minimal oversight, including ambiguous, cross-team initiatives
• Strong code review discipline and a demonstrated history of setting or raising engineering quality bars on a team
• Strong communication skills — able to explain technical tradeoffs to both engineers and non-technical stakeholders

What you'll bring:

• Experience integrating AI/LLM APIs into product features (even at a basic, API-consumption level)
• Familiarity with prompt engineering basics for coding or productivity use cases
• Experience establishing or improving AI-tool usage guidelines/policies on an engineering team
• Experience with cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Kubernetes)
• Contributions to internal tooling, developer experience, or engineering productivity initiatives