Leveraging data-driven solutions to optimize digital customer experiences and support strategic portfolio planning at GM, with an initial focus on vehicle portfolio planning use cases.
Requirements
- Minimum of 5 years of hands-on experience delivering enterprise-scale software products, with an emphasis on integrating machine learning models and Databricks workflows.
- Advanced proficiency in both front-end development (React, Angular, TypeScript, HTML/CSS) and back-end development (Node.js, Python, or Java).
- Deep understanding of hybrid-cloud and cloud-native software architecture, system design, and security, including microservices and containerization using Azure, Azure Key Vault, App Services, and Azure Kubernetes Services (or similar cloud platforms).
- Experience with CI/CD processes, including automated builds, deployments, and pipeline development.
- Demonstrated ability to collect, quantify, and communicate engineering quality and efficiency metrics.
- Experience working with Agile methodologies, including backlog grooming, sprint planning, and delivering solutions iteratively.
- Familiarity with data science use cases and machine learning development lifecycle.
Responsibilities
- Collaborate with analytics delivery, data science, and stakeholder teams within a matrixed reporting structure to deliver applications that train and serve machine learning models.
- Lead front-end and back-end software architecture, design, and development ensuring alignment with GM technology and security standards.
- Implement software validation, testing, code review, documentation, and production monitoring processes to ensure user satisfaction, quality, and supportability.
- Work with partner teams such as infrastructure, architecture, and operations on platform management and technology migrations as required.
- Provide on-call support as required.
- Keep up with new trends and technologies and actively seek ways to increase productivity, including using GenAI where appropriate.
- Encourage continuous learning, knowledge sharing, and development within the team and the broader software engineering community.
Other
- This role is based remotely but if you live within a 50-mile radius of an office [Atlanta, Austin, Detroit, Warren, or Mountain View], you are expected to report to that location three times a week, at minimum.
- Proven ability to lead engineering projects, mentor early-career developers, and collaborate effectively with data scientists, product managers, and non-technical stakeholders.
- GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE.
- This job is not eligible for relocation benefits.
- Any relocation costs would be the responsibility of the selected candidate.
