Hybrid Senior Software Engineer – Vehicle Engineering, Quality

at General Motors

• Job title: Senior Software Engineer – Vehicle Engineering, Quality
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Angular, AWS, Azure, Cloud, Docker, ETL, Google Cloud Platform, Java, Kubernetes, Oracle, Postgres, Python, Spark, SQL
• Location requirements: Hybrid, Warren, United States

About the role

• Senior Software Engineer developing AI-enabled software solutions for automotive product engineering. Collaborating on data quality, performance, and reliability in an Agile environment.

Responsibilities

• Design, develop, and maintain data driven and AI-enabled applications and services that support Product Development engineering teams.
• Write high-quality, performant SQL (queries, functions, stored procedures) for complex data transformations and modeling across enterprise data platforms (e.g., SQL Server, Oracle, PostgreSQL).
• Build and optimize data pipelines and workflows in Databricks (DBX) and related tools to support batch and near realtime data processing.
• Develop backend services and APIs in Java and/or Python that integrate data, business rules, and user workflows into robust, reusable components.
• Develop enterprise grade applications using Kubernetes/Docker, Quarkus, Java, Angular, PostgreSQL, and other GM approved tools.
• Partner with data science and AI teams to productionize AI/ML and LLM based solutions, including feature pipelines, inference integrations, monitoring, and continuous improvement.
• Proactively identify and remediate issues related to code quality, patterns, performance, security, and data correctness, using code quality analysis tools and remediation techniques.
• Lead or contribute to solution design, including architecture, patterns, and technology choices aligned with GM standards and Statement of Technical Direction.
• Apply and champion software engineering best practices, including code reviews, automated testing, branching strategies, CI/CD pipelines (e.g., GitHub Actions), observability, and secure coding practices.
• Collaborate with cross-functional teams (product owners, data engineers, architects, business stakeholders) to refine requirements, define acceptance criteria, and deliver incremental value in an Agile/SCRUM environment.
• Troubleshoot and resolve production issues across the full stack (data, application, infrastructure), driving root cause analysis, stable fixes, and clear documentation.
• Navigate complex corporate processes to remove project roadblocks and keep delivery on track.
• Provide guidance and mentoring to fellow software engineers and team members, helping grow skills in SQL, Databricks, cloud, and AI related technologies.
• Document software and data solutions and ensure technical documentation meets GM standards and can be leveraged across VEQ and PD Business Systems.

Requirements

• Bachelor’s Degree in Computer Science, Software Engineering, Information Systems, Engineering, or a related field, OR equivalent experience.
• 5+ years of experience delivering enterprise or full stack software solutions using Java / JEE, Python, and preferably Angular.
• 3+ years of experience working with complex SQL queries, functions, and stored procedures, including performance tuning and optimization against large datasets.
• Experience building or supporting data pipelines, ETL/ELT processes, or datacentric applications on distributed or cloud platforms (e.g., Databricks, Spark, or similar).
• 3+ years of experience with Kubernetes/Docker, Quarkus, and cloud platforms such as Azure, AWS, or GCP.
• Experience working in Agile/SCRUM development methodologies, including backlog refinement, sprint planning, and incremental delivery.
• Hands-on experience with modern DevOps practices such as Git/GitHub, code reviews, automated builds, automated testing, and CI/CD pipelines (e.g., GitHub Actions).

Benefits

• Non-Discrimination and Equal Employment Opportunities (U.S.)
• Accommodations for individuals with disabilities