Software Development Engineer II - C# and Azure Cloud

GM Financial•Arlington, TX

22h•Hybrid

About The Position

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. 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. The SDE II works under limited or no supervisory guidance and consistently delivers on commitments. The SDE II is expected to demonstrate excellence in the software development practices performed by Scrum teams: Developing product features for any or all of the following: data marketplaces, mobile applications, web applications, and API services. Migrating the product to the public cloud within the team as appropriate. The SDE II invests in learning and experimentation to expedite cloud implementations. Using automated pipelines for building, testing, and deploying software packages; continuously improving both the quality and speed of the pipelines. Contributing to test automation and participating in peer reviews to increase product quality. Maintaining a production-first mindset focused on scale, uptime, and ability to rapidly triage/resolve production issues. Investing in our Agile practice to continuously improve product quality, time to market, and team member happiness.

Requirements

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
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
Ability to use AI tools (e.g., Microsoft Copilot) to support daily work
Skills in evaluating AI outputs for accuracy, compliance, and bias
Experience integrating AI into workflows to improve efficiency or insights
Familiarity with AI assisted research, summarization, and content generation
Understanding of responsible AI use, including ethics and data protection
2-4 years experience in software development required
High School Diploma or equivalent required

Nice To Haves

Bachelor’s Degree in Computer Science or related Engineering field; and/or commensurate experience preferred

Responsibilities

Developing product features for any or all of the following: data marketplaces, mobile applications, web applications, and API services
Migrating the product to the public cloud within the team as appropriate
Invests in learning and experimentation to expedite cloud implementations
Using automated pipelines for building, testing, and deploying software packages; continuously improving both the quality and speed of the pipelines
Contributing to test automation and participating in peer reviews to increase product quality
Maintaining a production-first mindset focused on scale, uptime, and ability to rapidly triage/resolve production issues
Investing in our Agile practice to continuously improve product quality, time to market, and team member happiness