Position Details
About this role
This role involves designing and developing large-scale data platforms and microservices for vehicle data integration, security, and analytics in a hybrid work environment at General Motors.
Key Responsibilities
- Design scalable data platforms
- Build data pipelines
- Implement observability tools
- Develop CI/CD pipelines
- Mentor junior engineers
Technical Overview
Full-stack development with Java, Python, SQL, Kafka, Pulsar, and cloud-native technologies including Kubernetes, Databricks, and cloud platforms (Azure, AWS, GCP). Focus on scalable data pipelines, API services, and infrastructure automation.
Ideal Candidate
The ideal candidate is a mid-level software engineer with 6+ years of experience in full-stack development, specializing in Java and Python, with strong knowledge of cloud platforms like Azure, AWS, or GCP. They possess expertise in building scalable data platforms, microservices, and API integrations, with leadership skills to mentor junior engineers.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Certifications
Preferred
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Java or Python, No cloud platform experience (Azure, AWS, GCP), Less than 6 years of experience, No experience with microservices or data pipelines
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