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Senior Python Developer at Weekday (YC W21) | JobVerse
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Senior Python Developer
Weekday (YC W21)
Remote
Website
LinkedIn
Senior Python Developer
India
Full Time
1 week ago
$1,800,000 - $2,200,000 INR
No Sponsorship
Apply Now
Key skills
Numpy
Pandas
Python
NumPy
Agile
Mentoring
Communication
About this role
Role Overview
Design, develop, and maintain scalable applications and backend systems using Python.
Build efficient, reusable, and maintainable code following OOPS principles and design patterns.
Work extensively with NumPy, Pandas, and other Python libraries for data handling and processing.
Contribute to system architecture, technical design discussions, and engineering best practices.
Optimize application performance, scalability, and reliability across systems.
Collaborate with product managers, developers, and stakeholders to understand business requirements and deliver technical solutions.
Write clean, testable, and production-ready code with proper documentation.
Participate in code reviews, debugging, troubleshooting, and performance tuning activities.
Ensure software quality, security, and maintainability standards are consistently followed.
Mentor junior developers and support continuous improvement within the engineering team.
Requirements
5+ yrs of experience in software development
Strong hands-on experience in Python development with expertise in OOPS concepts and design patterns.
Proficiency in NumPy, Pandas, and data-driven application development.
Solid understanding of scalable software architecture and clean coding practices.
Experience building high-performance backend systems and APIs.
Strong analytical and problem-solving capabilities with attention to detail.
Ability to contribute to technical architecture and engineering strategy discussions.
Experience working in Agile development environments with collaborative teams.
Strong communication and mentoring skills with a proactive ownership mindset.
Passion for continuous learning, innovation, and building scalable technology solutions.
Tech Stack
Numpy
Pandas
Python
Apply Now
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