Senior Software Engineer

GryphTech

$110K — $130K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of professional software development experience focusing on AI and automation
  • Proficient in C#, .NET Framework, .NET Core/.NET 8+, ASP.NET MVC, REST API, and Entity Framework
  • Experience with front-end frameworks like Angular, React, Next.js, TypeScript, JavaScript, HTML5, and CSS3
  • Expertise in Microsoft SQL Server, encompassing design, optimization, and automation
  • Hands-on with Azure, Azure DevOps, GitHub, CI/CD pipelines, and Git workflows
  • Strong dedication to AI-assisted programming, automated testing, and continuous improvement practices

Responsibilities

  • Design, develop, and maintain scalable, full-stack applications using AI-driven methodologies
  • Utilize AI-assisted development tools consistently for all coding phases
  • Create automated testing protocols to enhance release confidence and reduce manual tasks
  • Enhance automation across CI/CD processes and version control
  • Diagnose production issues leveraging automation and observability techniques
  • Collaborate with cross-functional teams to optimize customer experience through AI and platform enhancements

Benefits

  • Opportunity to be at the forefront of AI-driven software development
  • Collaborative culture with cross-functional teams
  • Focus on innovative technology and product offerings in real estate
  • Possibility for professional growth through mentoring
  • Engagement with cutting-edge tools and practices in software engineering
Full Job Description
Senior Software Developer

About the Role

We are looking for a Senior Software Developer who approaches software delivery with an AI-first and automation-first mindset. You will help design, build, test, and support GryphTech's SaaS real estate platforms while using AI-assisted development, automated testing, Git-based workflows, CI/CD, and repeatable engineering practices to deliver faster, safer, and higher-quality outcomes.

What You'll Do
  • Design, develop, and maintain scalable full-stack applications and platform services with an AI-first approach to engineering productivity.
  • Use AI-assisted development tools as a standard part of coding, debugging, refactoring, documentation, testing, and code review.
  • Create automated unit, integration, regression, and end-to-end tests to reduce manual effort and improve release confidence.
  • Build and improve automation across CI/CD pipelines, Git workflows, pull requests, quality gates, deployments, and operational support.
  • Troubleshoot production issues using structured diagnostics, automation, observability, and continuous improvement practices.
  • Collaborate with product, UX, QA, DevOps, and customer-facing teams to use AI, automation, and platform improvements to deliver a high-quality customer experience and a stronger, more valuable feature set.


What You Bring
  • 7+ years of professional software development experience, with demonstrated ability to use AI and automation to improve delivery quality and speed.
  • Strong C#, .NET Framework, .NET Core/.NET 8+, ASP.NET MVC, REST API, and Entity Framework experience.
  • Front-end experience with Angular, React, Next.js, TypeScript, JavaScript, HTML5, and CSS3.
  • Expert Microsoft SQL Server experience is required, including database design, optimization, performance tuning, troubleshooting, and automation of repeatable data and maintenance tasks.
  • Hands-on experience with Azure, Azure DevOps and/or GitHub, CI/CD pipelines, Git branching, pull requests, code reviews, and automated quality checks.
  • Strong commitment to AI-assisted software engineering, secure coding, automated testing, maintainability, observability, and continuous improvement in a professional development environment.


Nice to Have
  • Experience with real estate technology, CRM, CMS, website, mobile application, or SaaS platform environments.
  • Experience mentoring developers on AI-first development habits, automation opportunities, testing discipline, or modern engineering practices.
  • Experience automating QA, release management, DevOps, support, reporting, or other repeatable software delivery processes.
  • MongoDB experience.


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