Senior Software Test Infrastructure Developer

6 days ago

Hyderabad Secunderabad Telangana, India beBeeSoftwareDevelopmentEngineer Full time
Job Title: Software Development Engineer

This role involves working on test infrastructure to provide a robust testing environment for developers and testers.

The ideal candidate will have experience in tool development, focusing on areas like regression management, scheduling, executing harness, failure analysis & assignment, and reporting.

They should also have hands-on experience with DevOps environment tools, including cloud, databases, and AI/ML technologies.

  • Drive and improve implementation of test infrastructure to provide a robust testing environment to 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
  • Create comprehensive documentation, mentor junior team members, and conduct training sessions

Preferred qualifications include:

  • Professional 8+ years of technical experience and at least 5 years' experience in design and implementation of product developments
  • Strong knowledge in CI/CD tools and DevOps practices
  • Experience in developing tools around test Infra automation
  • Expert in structured and OOP in Python
  • Proficiency in scripting and automation languages (e.g., Python, Bash, Csh)
  • Linux and Windows shells working environment
  • Understanding of AI/ML principles and some experience in applying LLM and 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 required:

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

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