Staff Automation – Platform Engineer

General Motors

Staff engineer building GM’s full-stack platform connecting AI models to business processes. Hardening agentic automations and integrations for reliable production mobility solutions.

Posted 8/4/2026full-timeWarren • Missouri • 🇺🇸 United StatesLead💰 $160,000 - $246,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full-stack software development, focusing on building and maintaining robust, production-grade systems. Proficient in implementing automated testing, error handling, and observability practices while coaching teams on engineering best practices.

Highest-signal resume keywords

Full-Stack Software DevelopmentReactJS/Vite ProficiencyPython ProgrammingDatabricks ExperienceREST API Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentAutomation EngineeringBackend EngineeringError HandlingTesting PracticesWorkflow OrchestrationCode QualityProduction-Quality AgentsAgentic FrameworksLLM Chaining

Soft Skills

CoachingTechnical Escalation

Tools & Technologies

DatabricksGleanAzure AI FoundryGoogle ToolingPostgreSQL

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in Software Engineering

Industry Keywords

Automation SystemsHigh-Volume TransactionsAPI ConnectionsObservabilityReliability Practices

Tech Stack

Tools & technologies

AzurePostgresPythonReact

About the role

Key responsibilities & impact

Build and maintain a full-stack software platform across frontend, backend, and data layers
Refactor prototypes into robust, production-grade code for high-volume transactions
Apply automated testing, error handling, observability, and reliability practices to software, agentic frameworks, and automation pipelines
Design complex workflows such as agentic frameworks and LLM chaining
Manage API connections between predictive models, legacy systems, third-party platforms, and user interfaces
Build agents and automations within Databricks, Glean, Azure AI Foundry, and Google tooling
Implement logging, monitoring, and self-recovery mechanisms
Document and evangelize engineering best practices and design patterns
Coach other teams on building reliable, testable agents and automations
Serve as the technical escalation point for complex code-related issues after deployment

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Software Engineering, or related field
8+ years of experience in Software Development, Automation Engineering, or Backend Engineering
Strong proficiency with ReactJS/Vite, Python, PostgreSQL, and Databricks
Experience with REST APIs and workflow orchestration tools
Strong focus on code quality, error handling, and testing across traditional software and agentic/automation systems
Ability to rapidly learn and build production-quality agents and automations within Databricks, Glean, Azure AI Foundry, and Google tooling
GM does not provide immigration-related sponsorship; applicants must not require GM immigration sponsorship now or in the future

Benefits

Comp & perks

Bonus potential through an incentive pay program based on company performance, job level, and individual performance
Medical insurance
Dental insurance
Vision insurance
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation and holidays
Tuition assistance programs
Employee assistance program
GM vehicle discounts