Senior Regression Testing Jobs in Chicago, IL (NOW HIRING)

We are seeking the ideal candidate for our Software Developer opening for our growing insurance company.

The Senior Software Developer designs, develops, tests, and maintains software applications and services while serving as a technical leader within an assigned product, application, or functional domain. This role delivers complex software solutions, contributes to architecture and design decisions, mentors other developers, and ensures high standards of quality, security, and maintainability.

The Senior Software Developer is expected to effectively leverage AI-assisted and agentic software development tools to improve delivery speed and productivity while maintaining full responsibility for technical decisions, code quality, testing, and production readiness.

MINIMUM QUALIFICATIONS:

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• Five (5) or more years of professional software development experience
• Strong experience developing applications using C#, .NET, and React
• Proficiency with Git and collaborative development workflows
• Solid understanding of object-oriented programming principles and software design patterns
• Experience working in Agile software development environments
• Experience contributing to CI/CD pipelines and automated software delivery processes

DUTIES & RESPONSIBILITIES:

• Design, develop, test, deploy, and maintain software applications and services
• Own the technical implementation of features and enhancements within an assigned application or functional domain
• Translate business and technical requirements into scalable, maintainable software solutions
• Participate in technical design discussions and document significant design decisions and implementation approaches
• Break complex initiatives into manageable work that can be executed efficiently by developers and AI-assisted development tools
• Use AI-assisted coding tools to accelerate software development, analysis, testing, documentation, and troubleshooting activities
• Review and validate AI-generated code to ensure correctness, maintainability, security, and alignment with established engineering standards
• Apply independent engineering judgment when evaluating AI-generated recommendations and implementation alternatives
• Develop and execute appropriate testing strategies, including unit, integration, and regression testing
• Participate in peer code reviews and provide constructive feedback to improve software quality and consistency
• Troubleshoot application defects, identify root causes, and implement effective solutions
• Optimize application performance, scalability, and data access patterns
• Identify and address security vulnerabilities and secure coding concerns throughout the software development lifecycle
• Maintain technical documentation, coding standards, and project context that support consistent software development, including AI-assisted workflows where applicable
• Mentor junior and mid-level developers by sharing technical knowledge, development best practices, and effective use of AI-assisted development tools
• Collaborate with product owners, architects, quality engineers, and other stakeholders throughout the software development lifecycle
• Contribute to continuous improvement of engineering practices, development processes, and software quality

QUALIFICATIONS REQUIRED:

• Advanced proficiency with C#, .NET, React, and modern software development practices
• Demonstrated experience delivering production-quality software throughout the full software development lifecycle
• Experience using AI-assisted software development tools in professional software engineering environments
• Ability to effectively plan, execute, and validate AI-assisted development tasks while maintaining ownership of technical outcomes
• Strong understanding of software architecture, object-oriented design, design patterns, and secure coding practices
• Experience designing and implementing automated testing strategies
• Strong analytical, debugging, and problem-solving skills
• Ability to evaluate technical alternatives and make sound engineering decisions
• Excellent written and verbal communication skills
• Ability to work independently while collaborating effectively within a cross-functional team

Preferred:

• Experience with cloud platforms such as Microsoft Azure or AWS
• Experience with containerized applications and modern CI/CD platforms
• Experience with relational databases, SQL optimization, and performance tuning
• Experience with distributed systems, REST APIs, and event-driven architectures
• Experience using AI-assisted development platforms such as Claude Code, Codex, GitHub Copilot, or similar technologies
• Experience modernizing legacy applications or participating in large-scale refactoring or migration initiatives

Success Factors

Successful candidates consistently:

• Deliver reliable, maintainable, and secure software solutions
• Exercise sound engineering judgment when designing and implementing solutions
• Effectively leverage AI-assisted development tools while maintaining ownership of software quality and technical decisions
• Produce well-tested, production-ready code
• Collaborate effectively across technical and business teams
• Continuously improve engineering practices and contribute to the success of the development team

Preferred Risk Insurance Services provides a competitive benefits package to all full- time employees. Following are some of the perks Preferred Risk Insurance Services employees receive:

• Competitive Salaries
• Commitment to your Training & Development
• Medical and Dental
• Short Term Disability/Long Term Disability
• Life Insurance
• Flexible Spending Account
• Telemedicine Benefit
• 401k with a generous company match
• Paid Time Off and Paid Holidays
• Tuition Reimbursement Training Programs
• Wellness Program
• Fun company sponsored events
• And so much more!

Estimated Compensation Range: $120,000/year-$140,000/year*

*Published ranges are estimates. Offered compensation will be based on experience, skills, education, certifications, and geographic location. In addition, starting salary may vary by position depending on whether the position is in-office, hybrid or remote.