Description
Hybrid: This position does not require an employee to be on-site full-time to perform most effectively. The employee will be required to be on-site three days per week.
The Role: We are currently looking for experienced and motivated candidates for the role of Staff Software Engineer - Virtualization Cloud Architect , as part of the Virtualization Platform & Automation team within Software & Services. The team's mission is to create and automate a cloud-based virtualization platform, capable of headless execution of testcases against co-simulation packages, as part of a larger CI/CD framework.
As the cloud architect , you will be responsible to work across organizational boundaries to ensure the virtualization platform meets all technical, scalability, and commercial requirements.
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RESPONSIBILITIES:
- Partner with and lead cross-functional teams to define, and document requirements to develop various cloud capabilities to virtualize and scale a test platform within a larger CI/CD framework.
- Partner with various suppliers and internal process partners during the development and maintenance process.
- Develop new and innovative methods to automate the maintenance of existing co-simulation environments in the cloud.
- Serve as cloud application and virtualization subject matter expert for the larger organization.
- Provide updates and live demonstrations to various levels of leadership and external organizations.
Additional Description
Qualifications: Required
- Expert knowledge of various cloud platform ( Azure 'strongly preferred' , AWS, GCP etc.) and relevant services and containerization and orchestration tools like Docker, Kubernetes, etc.
- Expertise in design, implementation, and maintenance of Continuous Integration and Continuous Delivery (CI/CD) pipeline solutions.
- Expert knowledge of various programming languages (C, C++, Python, Java, Quarkus, SystemC).
- Bachelor's degree in a relevant engineering discipline or computer science.
- 10+ years of experience developing and maintaining cloud application.
- Expert knowledge of (GM ) cybersecurity standards and best practices.
- Expertise in the development of automation capabilities using Jenkins and GitHub Actions.
- Demonstrated success in leading challenging projects with high levels of ambiguity to completion.
- Excellent communication skills.
Qualifications - Preferred
- Master's degree or PhD in a relevant engineering discipline or computer science.
- Familiarity with GM in-house test automation tools and libraries
- Familiarity with software development build process and associated tools.
- Knowledge of automotive communications (e.g. CAN, LIN, Ethernet and SPI)
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