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Python Application Developer

Full-time

HDY technologies LLC

Important Notes from Hiring Manager -

  • Primarily looking for candidates with a strong Statistical background .
  • PhD candidates with Statistics-focused academic/research experience are highly preferred.
  • Candidates with a Master's degree and strong Statistical Analysis expertise will also be considered.
  • Strong Python development experience remains mandatory.
  • Digital Signal Processing (DSP) knowledge is highly desirable.

Job Description

Key Responsibilities:

  • Design, develop, and maintain Python-based applications using frameworks such as Django, Flask, or FastAPI.
  • Good knowledge of digital signal processing
  • Build RESTful APIs and integrate them with front-end and data systems.
  • Collaborate with cross-functional teams to define, design, and deliver new features.
  • Write clean, efficient, and reusable code following Python and PEP 8 best practices.
  • Implement testing (unit, integration, and API) and maintain code reliability.
  • Work on database design, optimization, and integration (SQL or NoSQL systems).
  • Debug, deploy, and monitor applications using version control and CI/CD pipelines.
  • Collaborate with DevOps for containerization (Docker) and cloud deployment (AWS/Azure/GCP).
  • Ensure application security, scalability, and performance optimization.

Required Skills and Qualifications:

  • BS or MS in ECE or CS from a prestigious university in the US.
  • 4 8 years of hands-on experience in Python application development.
  • Proficient in frameworks such as Django, Flask, or FastAPI.
  • Strong understanding of object-oriented programming (OOP) and design patterns.
  • Experience with RESTful API development and third-party integrations.
  • Knowledge of SQL/NoSQL databases (PostgreSQL, MySQL, MongoDB, etc.).
  • Familiarity with front-end basics (HTML, CSS, JavaScript) for integration.
  • Exposure to containerization and DevOps tools (Docker, Kubernetes, Jenkins).
  • Understanding of Git version control, testing frameworks (pytest/unittest), and agile delivery processes.

Preferred/Good-to-Have Skills:

  • Experience with data processing (Pandas, NumPy) or machine learning integration.
  • Knowledge of microservices architecture.
  • Exposure to cloud technologies and CI/CD automation.
  • Experience working with APIs, security standards, and performance tuning.
Vacancy posted 1 day ago
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