Test Infrastructure Software Developer

2 weeks ago


Hyderabad Secunderabad Telangana, India beBeeDeveloper Full time ₹ 1,04,000 - ₹ 1,30,878
Software Development Engineer - Test Infrastructure

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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