Sr. Software Engineer - AI Quality and Productivity

Location: Hybrid; Austin, Texas or Warren, Michigan, United States. The selected candidate must report to a specific location at least three times per week.

Company

hirify.global develops automotive products and technologies focused on safer, more equitable, and more sustainable mobility.

What you will do

• Design, develop, and maintain data-driven and AI-enabled applications and services for Product Development and Quality teams.
• Build performant SQL queries, functions, stored procedures, data transformations, and models across enterprise data platforms.
• Develop and optimize Databricks and Spark data pipelines for batch and near-real-time processing.
• Build backend services and APIs using Java and Python, with enterprise technologies including Kubernetes, Docker, Quarkus, Angular, and PostgreSQL.
• Productionize AI/ML and LLM solutions with data pipelines, inference integrations, monitoring, and continuous improvement.
• Lead solution design, code quality, testing, CI/CD, observability, troubleshooting, documentation, and mentoring in an Agile/Scrum environment.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Engineering, or a related field, or equivalent experience.
• 6+ years of experience delivering enterprise or full-stack software solutions with Java/JEE and Python; Angular experience is preferred.
• 3+ years of experience with complex SQL, performance tuning, data pipelines, ETL/ELT, Databricks, Spark, or similar distributed platforms.
• 3+ years of experience with Kubernetes/Docker, Quarkus, and a cloud platform such as Azure, AWS, or GCP.
• Experience with Agile/Scrum, Git/GitHub, automated testing, code reviews, and CI/CD pipelines.
• GM does not provide immigration-related sponsorship; candidates must already have authorization to work in the United States without GM immigration support.

Nice to have

• Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 10+ years of experience with enterprise-grade, scalable, data-intensive, or analytics-focused applications.
• Deep Databricks or Spark experience, including Delta tables, notebooks, jobs, and workflows.
• Experience with Azure migrations, AI/ML initiatives, MLOps, data governance, observability, and reliability practices.
• Experience influencing technical direction and mentoring less experienced engineers.

Culture & Benefits

• Work with cross-functional Product Development, Quality, data science, AI, architecture, and business teams.
• Contribute to modernization and cloud initiatives across the Product Validation, Safety and Quality organization.
• Receive employee-focused total rewards and benefits.
• The role may be eligible for relocation benefits.
• Work in an environment focused on inclusion, belonging, and equal employment opportunity.

Hiring process

• Applicants may be required to complete role-related assessments and pre-employment screening where applicable.