Senior Software Engineer – AI Engineering, Productivity

General Motors

Senior Software Engineer responsible for developing data-driven and AI-enabled applications at General Motors. Collaborating with teams to streamline workflows and integrate AI technologies.

Posted 5/3/2026full-timeAustin • Missouri, Texas • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AngularAWSAzureCloudDockerETLGoogle Cloud PlatformJavaKubernetesOraclePostgresPythonSparkSQL

About the role

Key responsibilities & impact

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 real-time 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

What you’ll need

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 (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).
Willingness and demonstrated ability to learn and apply AI concepts, including working with data and APIs that support AI/ML and LLM based solutions.
Strong problem-solving skills with the ability to break down complex technical and data challenges into clear, actionable steps and deliver high quality solutions.
Excellent written and verbal communication skills with the ability to collaborate with both technical and nontechnical stakeholders.
Demonstrated ownership mindset, accountability for quality, and focus on delivering measurable value to internal customers.

Benefits

Comp & perks

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.

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Hard Skills & Tools

SQLJavaPythonKubernetesDockerAngularDatabricksETLCI/CDDevOps

Soft Skills

problem-solvingcommunicationcollaborationmentoringownership mindsetaccountabilityagile methodologyleadershipdocumentationroot cause analysis

Certifications

Bachelor’s Degree in Computer ScienceSoftware EngineeringInformation SystemsEngineering