Senior Developer I

Verisk•Lehi, UT

18h•$120,000 - $125,000•Hybrid

About The Position

The Senior Software Engineer I delivers high-quality software, mentors less experienced developers, and independently owns complex technical work from design through production support. This position contributes to architecture decisions, promotes engineering best practices, collaborates with cross-functional partners, and balances effective delivery with long-term maintainability and system health. Responsibilities include participating in the team’s on-call rotation and supporting production systems and incident response when needed.

Requirements

6+ years of professional software development experience; bachelor’s degree in Computer Science or a related field, or equivalent experience.
Strong C#/.NET skills and experience building RESTful APIs, microservices, and cloud-based solutions using AWS.
Strong understanding of software design, system architecture, distributed systems, and the software development lifecycle.
Experience with relational or NoSQL databases such as PostgreSQL, Oracle, or MongoDB.
Experience with CI/CD, automated testing, and reliable build and deployment pipelines.
Strong problem-solving, debugging, communication, and cross-functional collaboration skills.
Experience mentoring developers, reviewing code, influencing technical decisions, and delivering maintainable production software.

Responsibilities

Design and deliver clean, secure, maintainable, and well-tested C#/.NET services, RESTful APIs, frameworks, and engineering tools that support Xactimate.
Translate complex technical problems into scalable solutions and contribute to architecture and system design decisions that support reliability, performance, and maintainability.
Collaborate with product, design, QA, and other stakeholders to deliver solutions that meet user and business needs.
Mentor developers through technical guidance and constructive code reviews while promoting consistent engineering practices.
Participate in on-call support, resolve production issues and defects, and improve service observability and reliability.
Maintain efficient, reliable CI/CD and automated build, test, and deployment processes.
Address technical debt and improve system quality, performance, security, maintainability, and team workflows.
Use AI-assisted development tools responsibly to improve engineering productivity while validating outputs and following security requirements.