Software Development Engineer 2

Why GM Financial Technology?

Innovation isn’t just a talking point at GM Financial, it’s how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We’re committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.

Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.

What makes You an ideal candidate?

• Software development expertise in the high level programming language used by the product team
• Data and query analysis and optimization to deliver scalable, performant products and services
• Test data management to drive automated, repeatable, and reliable testing
• Proficient in new feature development, automated tests, and the implementation of security controls
• Experience working in Agile Scrum teams, suggesting and contributing to improvements (getting better/faster/happier)Demonstrates software development excellence (software is simple, understandable, reusable, and secure)
• Troubleshoots complex problems and works across teams to meet commitments
• Drives adoption of best practices; cultivates innovation and learning
• Strong interpersonal, verbal, and writing skills
• The SDE will have expertise in the following technologies as required for the product being developed:
  • Low-code environments: Logic Apps, Outsystems
  • Enterprise Service Bus: Tibco BusinessWorks (APIs and integration workflows)
  • Pipeline Automation: Azure DevOps (YAML, ARM), Terraform, Jenkins, Chef, Octopus Deploy
  • Code Scanning: SonarQube, Checkmarx
  • Source Code repos: Git 
  • Mobile: Xamarin.iOS, Xamarin.Android, Xamarin.Forms
  • UI: Angular, Javascript, CSS, Node.js, ASP.NET MVC
  • Containerization: Azure Kubernetes Service, Kubernetes (open source), Docker
  • High level programming languages: Java, C# (.NET MVC and .NET Core), Go
  • Scripting: Powershell, Bash
  • Database: Oracle, Microsoft SQL Server, NoSQL (e.g. CosmosDB)
  • Test Automation: Xamarin.UITest, Specflow, Selenium, Postman, Maven, TestNG, JMeter
  • Operating systems: Windows, Linux

AI Skills Preferred:

• Experience with AI assisted software development or automation
• Knowledge of prompting techniques to improve output quality
• Awareness of emerging GenAI capabilities and limitations 

Work Experience & Education

• Experience in software development and test automation required
• High School Diploma or equivalent required
• Bachelor’s Degree in Computer Science or related Engineering field; and/or commensurate experience preferred

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.

Our Culture: Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.

Compensation: Competitive pay and bonus eligibility.

Work Life Balance: Hybrid work environment, 3 days in office (Tue-Thur)

NOTE: We are unable to consider candidates who require visa sponsorship for this position

This position is not open to agency submissions

#GMFJobs #LI-Hybrid #LI-JM3

About the role:

As a Software Developer at GM Financial you will be fueled by all areas of technology including: multiple domains, AI technology, new tools and coding languages. This role provides you the opportunity to hit the road with the best of your abilities and turn the corner of your new career

In this role you will:

• Software development experience in C# or .Net technologies
• The drive to continuously learn and adapt to new technologies  
• Demonstrate competency in the software development practices performed by Scrum teams
• Develop product features for any or all of the following: data marketplaces, mobile applications, web applications and API services
• Participate in migration to the public cloud within the team as appropriate
• Contribute to test automation and participating in peer reviews to increase product quality
• Maintain a production-first mindset focused on scale, uptime and ability to rapidly triage/resolve production issues
• Invest in our Agile practice to continuously improve product quality, time to market and team member happiness