Lead Software Development Engineer

3 days ago

Bengaluru, Karnataka, India beBeeSoftwareEngineer Full time ₹ 1,04,000 - ₹ 1,30,878
Lead Software Development Engineer

This is an exceptional opportunity to drive innovation and excellence in software development.

  • We are seeking a highly skilled and experienced Lead Software Development Engineer to lead our team of engineers in the design, development, and implementation of sophisticated software solutions.

The ideal candidate will possess a strong passion for software engineering, leadership skills to drive complex issues to resolution, and excellent communication skills to work effectively with different teams.

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 infrastructure tools, including integration.
  • Implement containerized test infrastructure 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 test infrastructure.
  • 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.

Required Skills and Qualifications:

  • Professional 12+yrs of technical experience and at least 5 years experience in design & implementation of product developments.
  • Experience in developing tools around test infrastructure 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, ELK Stack).
  • 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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