
Test Infrastructure Software Developer
2 weeks ago
The ideal candidate should have 8 to 13 years of experience in technical roles involving tool development with a focus on regression management, scheduling, executing harness, failure analysis & assignment, and reporting.
They should also have hands-on experience working with DevOps environment tools including cloud, databases, and AI/ML technologies.
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, provide technical support, and troubleshoot migration to next generation tools, CI/CD, containerization, Kubernetes, and cloud tooling issues.
- Create comprehensive documentation, mentor junior team members, and conduct training sessions.
Preferred Experience:
- Professional 8+ yrs of technical experience and at least 5 years 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.
A strong academic background is required with a Bachelor s or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.
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