Lead Software Development Engineer
GM Financial
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. Software Development at GMF: 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. Location: Las Colinas, 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: We are seeking a highly skilled Lead Software Engineer to be responsible for developing and maintaining software solutions that support the enterprise reusable services capability to promote reuse as part of our NorthStar architecture. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as a passion for building reusable components. You will collaborate closely with cross-functional teams and stakeholders to define the reusable services and packages and work to deliver and operate enterprise services. The Lead Software Engineer will contribute to all areas of software development as a member of Enterprise reusable services team. This role includes hands on coding with strong focus on stakeholder management and driving technical decisions with consensus with peers across the enterprise. #J-18808-Ljbffr
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$65 - $73 per hour
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