Senior AI & Data Productivity Engineer

General Motors

Warren (MI)

Hybrid

USD 120,000 - 180,000

Full time

14 days+

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Job summary

General Motors is seeking a Senior Software Engineer to develop data-intensive and AI-enabled software for Product Development engineering teams. You will work with SQL, Databricks, Java, and Python to deliver reliable solutions while mentoring peers and shaping best practices.

The role emphasizes modern cloud and DevOps practices, pattern design, and collaboration with cross-functional teams in an Agile environment.

Qualifications

  • 6+ years delivering enterprise or full stack software solutions using Java/JEE and Python.
  • 3+ years working with complex SQL queries and optimization.
  • Experience building data pipelines and ETL/ELT on cloud platforms like Databricks/Spark.
  • 3+ years with Kubernetes/Docker, Quarkus, and cloud platforms (Azure/AWS/GCP).
  • Experience with Agile/SCRUM and DevOps practices.
  • Willingness to learn AI concepts and work with AI/LLM integrations.

Responsibilities

  • Design, develop, and maintain data-driven and AI-enabled applications for Product Development teams.
  • Write high-quality SQL queries and optimize performance for large datasets.
  • Build and optimize data pipelines and workflows in Databricks for batch and near real-time processing.
  • Develop backend services in Java/Python and expose APIs.
  • Collaborate with data science teams to productionize AI/ML solutions and monitor models.

Skills

Java/JEE
Python
Angular
SQL
Databricks/Spark
Kubernetes/Docker
Agile/SCRUM
DevOps
AI concepts

Education

Bachelor's Degree in CS/Software Engineering
Master's Degree (preferred)

Tools

Databricks
Docker
Kubernetes
Quarkus
Azure/AWS/GCP

Job description

General Motors is seeking a Senior Software Engineer to develop data-intensive and AI-enabled software for Product Development engineering teams. You will work with SQL, Databricks, Java, and Python to deliver reliable solutions while mentoring peers and shaping best practices.

The role emphasizes modern cloud and DevOps practices, pattern design, and collaboration with cross-functional teams in an Agile environment.

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