Software Development Engineer - Gen AI

GM Financial•Irving, TX

2d•Hybrid

About The Position

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. About the role: We are seeking a highly skilled 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 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. In this role, you will: Build, test, and maintain software solutions using diverse programming languages and technologies Collaborate with cross-functional teams to gather requirements and translate them into technical specifications Engage beyond immediate team boundaries to influence and collaborate with other GM Financial teams and external organizations Coach and mentor team members to achieve high-quality code reviews while maintaining production-first mindset focused on scale and uptime Architect and build production-grade applications using C#, Java, Cloud, Kubernetes, DevSecOps, microservices, event-driven architecture, and Generative AI Stay current with emerging AI technologies, evaluation frameworks, and industry trends Rapidly triage and resolve production issues to maintain system reliability and performance

Requirements

Strong experience in software development using Python, C# or Java
Experience with Gen AI or AI tools such as Copilot or Claude
Proficient experience working and deploying in Azure cloud.
Extensive experience building microservices using event-driven architecture and familiarity with Azure Event Hub, Kafka, etc.
Strong experience with cloud-related concepts & technologies, preferably Azure
Experience building cloud-native microservices using Docker, Kubernetes, or serverless technologies
Proficiency in relational databases (MySQL, AzureSQL) and NoSQL databases (MongoDB, CosmosDB)
Experience building micro-frontends using React.js or Angular
Cross-training or familiarity with Microsoft .NET technology stack for POCs and troubleshooting
Significant experience building REST services using OpenAPI Specification
Proficiency in designing, building, and optimizing automated pipelines with testing and security controls
Experience writing automated test cases using Karate (preferred)
Experience creating solution artifacts (Logical, Physical) using MS Visio or Lucidchart
Strong presentation, interpersonal, verbal, and written communication skills with both technical and business audiences
Excellent organizational and time management skills with ability to multitask and prioritize work effectively
Excellent project management skills including creating and managing program plans, budgets, and resources
Strong leadership and influencing skills with ability to drive consensus and manage stakeholders at all levels
Ability to identify and understand technical dependencies between initiatives
Strong communication skills to serve as tech evangelist and drive adoption of technical standards and enterprise reusable services
7-10 years of software development experience required
2-4 years of experience leading multi-developer projects required
High School Diploma or equivalent required
Bachelor’s Degree in Computer Science or related Engineering field; and/or commensurate experience preferred

Nice To Haves

2-4 years as a lead and/or subject matter expert preferred

Responsibilities

Build, test, and maintain software solutions using diverse programming languages and technologies
Collaborate with cross-functional teams to gather requirements and translate them into technical specifications
Engage beyond immediate team boundaries to influence and collaborate with other GM Financial teams and external organizations
Coach and mentor team members to achieve high-quality code reviews while maintaining production-first mindset focused on scale and uptime
Architect and build production-grade applications using C#, Java, Cloud, Kubernetes, DevSecOps, microservices, event-driven architecture, and Generative AI
Stay current with emerging AI technologies, evaluation frameworks, and industry trends
Rapidly triage and resolve production issues to maintain system reliability and performance