
Test Automation Engineer
21 hours ago
The Role:
We are seeking a highly skilled and experienced Senior Test Infrastructure Developer to join our team. This is an excellent opportunity for someone with a passion for software engineering and leadership skills to drive sophisticated issues to resolution.
Key Responsibilities:
- Drive and improve the implementation of test infrastructure to provide a robust test environment for developers and testers.
- Analyze, optimize, and improve the current architecture of various components of test Infra tools including integration.
- Implement containerized test infra with full on-prem/cloud portability compatible with various job management systems like LSF, SLURM, and Kubernetes orchestration framework.
- Drive and implement strategies to leverage AI/ML models at various stages of testinfra.
- Drive and implement Next Gen QOR (Quality of results for FPGA designs) regression execution and reporting.
- Oversee and provide development support to team members.
- Collaborate with cross-functional teams, providing technical support, and troubleshooting migration to next-generation tools, CI/CD, containerization, Kubernetes, and cloud tooling issues.
PREFERRED EXPERIENCE:
- 8+ years of professional technical experience and at least 5 years of experience in design & implementation of product developments.
- Strong knowledge in CI/CD tools and DevOps practices.
- Experience in developing tools around test Infra automation.
- Expert in structured & OOP in Python.
- Proficiency in Scripting and automation languages (e.g., Python, Bash, Csh,..).
- Linux & Windows shells working environment.
- Understanding of AI/ML principles and some experience in applying LLM & ML models in tool development.
- Experience with working in DevOps environment like GitHub, Perforce version control systems, containerization technologies like Docker, Kubernetes orchestration, and CI/CD pipelines using Jenkins or Github actions.
- Additionally, experience with monitoring and logging tools for containerized environments (e.g., Prometheus, Grafana).
- Excellent problem-solving abilities with a keen eye for detail are highly valued.
Academic Credentials:
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.
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