Senior C# ​/.NET Software Engineer

Compensation: Competitive, based on experience

Type: Full-time

Schedule: Flexible hours

Work Arrangement: Hybrid, with three days per week in our Layton office

Location: Layton, Utah

Guru Technologies is a Utah-based software engineering and technology consulting firm helping organizations solve complex business challenges through custom software development, artificial intelligence, cloud engineering, data & analytics, quality engineering, Dev Ops, mobile applications, enterprise integrations, and digital transformation.

For over 20 years, we’ve partnered with organizations ranging from innovative startups to Fortune 500 enterprises. Our mission is simple: build exceptional technology while creating long-term partnerships built on trust, technical excellence, and measurable business outcomes.

At Guru, you’ll work alongside experienced software engineers, architects, designers, and technology leaders who are passionate about solving meaningful business challenges. We believe our people are our greatest asset and are committed to creating an environment where collaboration, continuous learning, and long-term career growth thrive.

Guru Technologies is looking for an experienced C#/.NET software engineer who can design, build, and deliver reliable software using both strong engineering fundamentals and modern AI-assisted development tools.

This role is not primarily about memorizing syntax or framework trivia. AI can now generate substantial amounts of code, but experienced engineers are still needed to understand the business problem, design the right system, direct the work, identify risks, and verify that the final result is secure, maintainable, and production-ready.

We are looking for someone with a strong systems-engineering mindset who can take an unclear or complex problem, develop a sound technical approach, break it into manageable pieces, and use both people and AI agents effectively.

Hands-on exposure to tools such as Codex, Claude Code, Git Hub Copilot, Cursor, or similar solutions is expected. These tools are new, so we do not require years of experience with them. We do expect candidates to demonstrate meaningful experimentation and explain how they have used AI to solve real engineering problems.

• Design, develop, test, deploy, and maintain software using C#, ASP.NET Core, .NET, APIs, relational databases, and related web technologies.
• Participate in the full software lifecycle, from requirements and architecture through deployment and production support.
• Translate business needs into clear technical plans, system designs, data models, APIs, and acceptance criteria.
• Evaluate tradeoffs involving scalability, security, performance, cost, complexity, and maintainability.
• Use AI coding assistants and agents for appropriate tasks such as planning, implementation, testing, debugging, refactoring, documentation, and code review.
• Provide AI agents with clear context, constraints, architectural direction, and expected outcomes.
• Review and validate AI-generated code rather than accepting it at face value.
• Identify hallucinations, incomplete implementations, unnecessary complexity, security risks, and regressions.
• Implement and maintain CI/CD pipelines, cloud deployments, infrastructure, monitoring, and production systems.
• Collaborate with engineers, designers, project managers, and clients.
• Mentor less‑experienced developers and help improve engineering practices across the team.
• Occasionally contribute to front‑end applications using HTML, CSS, Type Script, React, Angular, or similar technologies.

AI tools are expected to improve your output, not replace your judgment. Engineers remain accountable for the software they deliver.

• Five or more years of professional software engineering experience.
• Strong experience with C#, .NET, ASP.NET Core, APIs, and relational databases.
• Experience designing and delivering production software from initial concept through deployment.
• Strong understanding of architecture, data modeling, API design, testing, debugging, source control, and software security.
• Ability to…