Senior Software Engineer – AI Quality and Productivity

Responsibilities

• Develop data-intensive and AI-enabled software applications and services supporting Product Development and Quality teams
• Design and build software and data solutions using SQL, Databricks, Java, and Python
• Write performant SQL queries, functions, and stored procedures for complex data transformations and modeling
• Build and optimize Databricks data pipelines and workflows for batch and near-real-time processing
• Develop backend services and APIs in Java and/or Python
• Develop enterprise-grade applications using Kubernetes/Docker, Quarkus, Java, Angular, PostgreSQL, and other GM-approved tools
• Partner with data science and AI teams to product ionize AI/ML and LLM-based solutions
• Identify and remediate issues involving code quality, performance, security, and data correctness
• Lead or contribute to solution architecture, patterns, and technology decisions aligned with GM standards
• Champion code reviews, automated testing, branching strategies, CI/CD, observability, and secure coding
• Collaborate with product owners, data engineers, architects, and business stakeholders in an Agile/SCRUM environment
• Troubleshoot production issues across data, application, and infrastructure layers and drive root-cause analysis
• Navigate corporate processes to remove project roadblocks
• Guide and mentor software engineers and team members
• Document software and data solutions to GM standards

• 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 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 data-centric applications on distributed or cloud platforms such as Databricks or Spark
• 3+ years of experience with Kubernetes/Docker, Quarkus, and cloud platforms such as Azure, AWS, or GCP
• Experience working in Agile/SCRUM development methodologies
• Hands-on experience with Git/Git Hub, code reviews, automated builds, automated testing, and CI/CD pipelines such as Git Hub Actions
• Willingness and demonstrated ability to learn and apply AI concepts, including AI/ML and LLM-based solutions
• Strong problem-solving skills
• Excellent written and verbal communication skills
• Demonstrated ownership mindset and accountability for quality
• Preferred:
  Master’s Degree in Computer Science, Engineering, Information Systems, or a related field
• Preferred: 10+ years of experience delivering enterprise-grade or globally scalable software applications
• Preferred:
  Deep hands-on experience with Databricks and/or Spark
• Preferred:
  Experience migrating applications and complex data workloads to Azure or other cloud platforms
• Preferred:
  Experience supporting AI/ML initiatives and MLOps concepts
• Preferred:
  Knowledge of relational and dimensional data modeling, data quality, metadata management, and data governance
• Preferred:
  Experience with observability and reliability practices
• Preferred:
  Ability to influence technical direction, establish reusable patterns and standards, and mentor engineers
• Must not require GM immigration sponsorship now or in the future, including H-1B, OPT, STEM OPT, CPT, TN, J-1, or other immigration support

Demonstrates expertise in developing data-intensive and AI-enabled software applications using Java, Python, and SQL, while optimizing data pipelines and workflows in cloud environments. Proven ability to lead solution architecture and collaborate effectively in Agile/SCRUM teams.

• Java Development
• Python Programming
• SQL Query Optimization
• Kubernetes/Docker Experience
• Agile/SCRUM Methodologies

• SQL
• Java
• Python
• Databricks
• Kubernetes
• Docker
• Quarkus
• Angular
• PostgreSQL
• ETL/ELT Processes

• Problem-Solving
• Communication
• Mentoring
• Ownership Mindset
• Collaboration

• Data Governance
• Data Quality
• Metadata Management
• Observability
• Reliability Practices

• Git
• Git Hub
• CI/CD Pipelines
• Azure
• AWS
• GCP
• MLOps