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ServiceTitan is seeking a Senior Software Engineer to join its engineering team in Bengaluru. This role focuses on architecting, designing, and implementing user-facing features end-to-end using the Microsoft .NET platform. You'll work collaboratively with product managers, designers, and engineers to prototype and deliver product features while maintaining a 70% development / 30% mentorship and requirements focus.
Key responsibilities include:
- Architect and implement user-facing features across the full stack
- Collaborate with cross-functional teams on product development
- Mentor and supervise junior engineers
- Lead technical projects end-to-end with minimal oversight
- Set and raise engineering quality bars through strong code review discipline
- Communicate technical tradeoffs to both technical and non-technical stakeholders
Required expertise:
- 6+ years of industry experience
- Expert-level knowledge of Microsoft .NET stack (C#, ASP.NET MVC, Web APIs)
- SQL databases (Microsoft SQL Server or equivalent)
- HTML5, JavaScript, and front-end frameworks (React, Knockout.js)
- Git, unit testing, debugging, profiling, Visual Studio, JIRA
- Hands-on daily experience with AI coding assistants (Cursor, GitHub Copilot, Claude Code)
- Working understanding of LLMs: context windows, prompting, hallucination risks, practical limitations
- General awareness of current AI trends relevant to software engineering
- B.S., M.S., or PhD in Computer Science, Physics, Engineering, or related field
- Strong communication and technical writing skills
- Data-driven approach to product decisions
Desired experience:
- Integrating AI/LLM APIs into product features
- Prompt engineering for coding or productivity use cases
- Establishing AI-tool usage guidelines on engineering teams
- Cloud infrastructure (AWS, GCP, Azure) and Kubernetes
- Internal tooling and developer experience initiatives
ServiceTitan values diversity, inclusion, and fresh perspectives. The company uses AI tools to support recruitment efficiency but makes all hiring decisions through human review.
