Senior Python Developer

Minimum Qualifications:

Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. ORMaster's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. ORPhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience.

We are seeking a highly skilled Python Developer with strong software development expertise and a deep understanding of Software Development Life Cycle (SDLC) principles. The ideal candidate will design, develop, and maintain robust applications and automation solutions. Experience with Front-End DV CAD tools is a plus but not mandatory.

• Design, develop, and optimize Python-based applications, flows, and frameworks.
• Implement best practices across all phases of SDLC, including requirements analysis, design, coding, testing, and deployment.
• Collaborate with cross-functional teams (architecture, design, DV, and IT) to deliver scalable solutions.
• Develop scripts and automation flows to improve productivity and efficiency.
• Ensure code quality through reviews, unit tests, and integration tests.
• Maintain documentation for methodologies, workflows, and tools.

• Bachelors or Masters degree in Computer Science, Engineering, or related field.
• 5+ years of professional experience in Python development.
• Strong knowledge of SDLC processes and Agile methodologies.
• Proficiency in:
  • Python programming and object-oriented principles
  • Frameworks: Django, Flask, or FastAPI
  • Data handling: Pandas, NumPy
  • RESTful API design and implementation
  • Version control: Git/GitHub/GitLab/Perforce
  • Testing tools: pytest or similar
  • CI/CD pipelines: Airflow, Jenkins, GitLab CI/CD
• Experience with Linux environments and shell scripting.
• Excellent problem-solving and debugging skills.
• Strong communication and collaboration abilities.

• Exposure to Front-End DV CAD tools (e.g., Xcelium, VCS, vManager, Indago, Verdi).
• Familiarity with big-data platforms or analytics tools (e.g., Splunk).
• Familiarity with containerization (Docker, Kubernetes).
• Understanding of microservices architecture and distributed systems.
• Exposure to machine learning frameworks.
• Strong grasp of performance optimization and profiling techniques.