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Computer Systems Engineer / Architect
Arlington, TX

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GM Financial

Software Development Engineer II - C# and Azure Cloud

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Job Description

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.
Location:
Arlington, TX Work Arrangement:
Hybrid - 2 days onsite, 3 days remote per week
Sponsorship Notice:
At this time, we are unable to offer employment sponsorship for this position. This includes, but is not limited to, H-1B, TN, L1, and OPT visa types.
Location:
Arlington, TX or Irving, TX Work Arrangement:
Hybrid - 2 days onsite, 3 days remote per week
Sponsorship Notice:
At this time, we are unable to offer employment sponsorship for this position. This includes, but is not limited to, H-1B, TN, L1, and OPT visa types.
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:
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