FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Senior Engineer
General Motors. Design, develop, and maintain full-stack manufacturing intelligence applications .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in full-stack application development, particularly in manufacturing intelligence, with strong capabilities in Python, TypeScript, and PostgreSQL. Proficient in deploying applications across cloud and edge environments while ensuring security and reliability.
Highest-signal resume keywords
Full-Stack Application DevelopmentPython Development with FastAPIAdvanced TypeScript/JavaScript with ReactPostgreSQL Data Modeling and Query OptimizationCI/CD Automation and Docker/Kubernetes Deployment
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonTypeScriptJavaScriptPostgreSQLSQLFastAPIData Pipeline DesignEvent-Driven ArchitectureAutomated TestingObservability Techniques
Soft Skills
CollaborationTroubleshootingRoot-Cause AnalysisTechnical Design TranslationEffective Communication
Tools & Technologies
DockerKubernetesGitMicrosoft AzureCI/CD AutomationMESSCADAPLC/ControlsDatabricksEvent-Driven Data Services
Industry Keywords
Manufacturing IntelligenceIndustrial SoftwareData-Intensive ApplicationsAutomotive Manufacturing ProcessesAI/ML Techniques
Tech Stack
Tools & technologiesAzureCloudCyber SecurityDistributed SystemsDockerJavaScriptKubernetesPostgresPythonReactSQLTypeScript
About the role
Key responsibilities & impact- Design, develop, and maintain full-stack manufacturing intelligence applications
- Build React/TypeScript user experiences for manufacturing dashboards, workflow tools, operational insights, and engineering applications
- Develop scalable backend services and APIs using Python and FastAPI or comparable frameworks
- Integrate applications with MES, SCADA, PLC/controls data, historians, equipment interfaces, and event-driven data services
- Design and optimize PostgreSQL data models, queries, and data pipelines
- Implement authentication, authorization, auditability, and data-access controls
- Deploy and operate applications across enterprise, cloud, and edge environments using Docker, Kubernetes, CI/CD automation, and production monitoring
- Create automated tests and establish engineering practices that improve reliability, maintainability, and release quality
- Translate manufacturing and engineering problems into technical designs, user stories, acceptance criteria, and measurable product outcomes
- Collaborate with controls, manufacturing, quality, data science, cybersecurity, and IT teams
- Troubleshoot production issues, perform root-cause analysis, and implement performance and reliability improvements
- Document architecture, APIs, deployment procedures, operating standards, and support processes
- Support critical business operations and decision-making through domain data exploration, data processing pipelines, and business intelligence reports
Requirements
What you’ll need- Bachelor's or higher degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or equivalent experience
- Ability to work effectively in central engineering and plant environments, including time on the plant floor around operating equipment
- 5+ years of professional software engineering experience building and supporting production full-stack applications
- 3+ years of experience delivering manufacturing intelligence, industrial software, or data-intensive enterprise applications across frontend, backend, and data layers
- Advanced TypeScript/JavaScript skills with React
- Strong Python development skills with FastAPI or comparable frameworks
- Advanced SQL and PostgreSQL skills
- Experience delivering manufacturing intelligence, industrial software, or data-intensive enterprise applications
- Experience designing data pipelines and event-driven architectures
- Hands-on experience with Git, Docker, Kubernetes, CI/CD automation, environment configuration, and production deployment practices
- Intermediate-level proficiency with Microsoft Azure services and cloud-based application development
- Experience with automated unit, integration, contract, and end-to-end testing
- Experience with observability using structured logging, metrics, tracing, health checks, and alerting
- Working knowledge of application and platform security, including OAuth/OIDC, role-based access control, secrets management, secure coding, vulnerability remediation, and least-privilege design
- Ability to troubleshoot distributed systems and translate manufacturing requirements into maintainable technical designs and production releases
- Basic understanding of Databricks and its integration with other systems
- Working understanding of automotive manufacturing processes
- Working knowledge of AI/ML techniques applied to manufacturing data
- No immigration-related sponsorship is provided; applicants must not require GM immigration sponsorship now or in the future
Benefits
Comp & perks- Role-related assessment(s) and/or pre-employment screening may be required
- Reasonable accommodations available for applicants with disabilities
- International Short-Term assignment for 6 months in the first year for training & development