Senior Software Engineer - LOS Platform Team

Senior Software Engineer – LOS Platform Team

The LOS Platform Team builds and supports the tools and services that keep CMG’s loan origination system (LOS) operating day to day: the integrations that move loan data, the SQL Server databases behind them, and the automation and diagnostics that identify, predict and alert on errors.

This is a hands-on senior position with end-to-end ownership of the work, from defining requirements with the business to production deployment and support. Development is agentic first: the engineer directs AI agents (Claude Code and CMG’s in-house agentic SDLC) to write most new code and do much of the investigative work and owns the outcome. The systems themselves are conventional: a vendor LOS, SQL Server and established .NET services.

ESSENTIAL DUTIES and RESPONSIBILITIES, include the following responsibilities, but not limited to:

Requirements and Stakeholder Partnership

•          Partners with business stakeholders to turn requests into requirements and testable acceptance criteria.

•          Turns observed issues into well-scoped work items.

Architecture and Delivery

•          Designs and implements the architecture for new tools, integrations and changes.

•          Sees each change through to production deployment.

Production Support and Triage

•          Triages and resolves production issues, telling code defects apart from data, configuration and infrastructure problems, and fixes each at the right layer.

•          Reproduces issues before fixing them, using telemetry such as Application Insights, and documents findings clearly.

Agentic Development

•          Directs AI coding agents: scopes tasks appropriately, gives the agent the right context, and judges whether its diagnosis is correct and the evidence supports the fix.

Platform Improvement

•          Leaves the systems they touch better tested, more observable and safer to change.

QUALIFICATIONS AND EXPERIENCE:

•          Bachelor’s degree in Computer Science or a related field, or equivalent experience.

•          Experience: 7+ years of professional software development.

•          Sustained use of Claude Code, Cursor, GitHub Copilot agent mode or comparable tools on production work, including ways to verify output and spot when an agent is confidently wrong.

•          Experience carrying work from stakeholder requests through requirements, architectural decisions and production deployment.

•          Strong C# experience across both modern .NET and .NET Framework.

•          A clear grasp of synchronous versus asynchronous design, from async/await in C# (what happens at an await, .Result/.Wait() deadlocks, when async brings no benefit) to system-level choices such as queueing, caching and retries, and their effect on consistency and failure handling. Candidates will be asked to explain and demonstrate this.

•          A disciplined, evidence-based approach to debugging and triage.

•          Production diagnosis with Application Insights or a comparable telemetry tool.

•          SQL Server and T-SQL, including query tuning and controlled production data changes.

•          Azure: App Service, Functions, Key Vault and Azure SQL.

•          Proficient, daily use of Git.

•          Clear written technical communication.

Preferred:

•          Loan, mortgage or financial services experience.

•          Building tooling for AI agents, such as rules files, custom skills, MCP servers or hooks.

•          GitHub Actions, Terraform or PowerShell.

SUPERVISORY RESPONSIBILITIES:

Direct Reports: No

PHYSICAL and ENVIRONMENTAL CONDITIONS

This role operates in an ADA compliant office environment, utilizing typical office equipment and tasks including computer work. The position may involve partial stationary positions and moving throughout the day. Flexibility to work overtime to meet project deadlines is required.

COMPENSATION:

Compensation Information – The salary range for this role is $150,000 to $190,000 annually. Actual compensation depends on experience, technical skills, industry background and other job-related factors including location and education. Eligible employees also receive a comprehensive benefits package