Lead Software Development Engineer

GM Financial•Irving, TX

1d•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. This Lead Software Engineer role will provide technical leadership for GM Financial's Customer Identity & Access Management (CIAM), Consent & Preference Management (CPM), and AI & Automation platforms. The ideal candidate will have hands-on experience designing and building scalable, cloud-native solutions using .NET, React, React Native, Kubernetes, Docker, CI/CD pipelines, and modern API architectures. The candidate should possess deep expertise in identity and access management concepts, including OAuth 2.0, OpenID Connect, WebAuthn, API security, customer authentication, authorization, and identity lifecycle management. Experience with Auth0 is highly desired, including implementation of secure identity patterns for web, mobile, machine-to-machine, and agentic AI use cases. In addition, the candidate should have experience building AI-powered applications using OpenAI, large language models, Retrieval-Augmented Generation (RAG), vector-based knowledge retrieval, and agent orchestration patterns. Experience implementing identity, delegated authorization, and secure access patterns for AI agents and agent-driven workflows is strongly preferred. This individual will mentor engineers, influence architecture decisions, and drive delivery of secure, scalable, and compliant customer-facing solutions across digital identity, consent management, and next-generation AI experiences.

Requirements

Hands-on development with .NET and ASP.NET Core backend services
Frontend and mobile development using React and React Native
Auth0 and modern CIAM patterns, including OAuth 2.0, OIDC, JWT, MFA, and WebAuthn
Identity and authorization for agentic AI, including delegated access, service-to-service access, and secure agent workflows
Consent & Preference Management experience; Cassie experience preferred
Kubernetes and Docker-based cloud-native deployment
Lead Software Engineer | CIAM, CPM, and AI & Automation
CI/CD pipeline design, automated testing, and automated security controls
OpenAI and large language model application integration
Retrieval-Augmented Generation, vector-based retrieval, and grounding patterns
AI agent architecture, orchestration, observability, security, and governance
API security, production reliability, scalability, and zero-trust design principles
Technical leadership, architecture influence, cross-team collaboration, and engineering mentorship
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

Experience with AI assisted software development or automation
Knowledge of prompting techniques to improve output quality
Awareness of emerging GenAI capabilities and limitations
2-4 years as a lead and/or subject matter expert preferred

Responsibilities

Partners with team members to increase software skills, system understanding, and design thinking to create high performing teams
Embeds in teams or engages across teams to accomplish business objectives using the intentional architecture
Influences and collaborates with other towers and shared services within GM Financial and works directly with external vendors to achieve business results
Researches and champions the implementation of new tools and approaches that benefit the organization
Understands cloud technologies and how best to employ them; and assists other team members to speed the implementation
Champions Agile and DevOps to continuously improve product quality, time to market, and team member happiness
Invests in automated testing and automated pipelines to deploy constantly (multiple times per sprint)
Maintains a production-first mindset focused on scale, uptime, and the team’s ability to rapidly triage/resolve production issues
Promotes modern software development patterns and practices that promote simplicity, understanding, reuse, and security
In partnership with product management and solutions architect, helps to maintain a technical backlog for the agile team
Serve as a subject matter expert on core systems, providing guidance to other team members in their maintenance and support