About Quotient AI:
Quotient AI is at the forefront of generative AI, enabling rapid evaluation and deployment of AI products tailored to unique user requirements. Our mission is to help businesses ship high-quality AI-driven products in days, not months. We're looking for a Senior Python Developer to join our team and play a pivotal role in supporting the Machine Learning and Data Science aspects of our cutting-edge products.
Position Overview:
As a Senior Python Developer at Quotient AI, you will be instrumental in building and optimizing complex Python SaaS backends at scale. This strategic senior hire will focus on enhancing scalability and addressing architecture concerns, ensuring our solutions can handle growing demands. We are seeking an individual with deep expertise in Python and extensive experience in developing scalable, high-performance backend systems.
Key Responsibilities:
Develop and maintain complex Python-based backend systems to support our AI products.
Collaborate with the Machine Learning and Data Science teams to integrate advanced AI features.
Advise on and implement strategies for scalability and performance optimization.
Architect and design robust, scalable backend solutions that can handle high levels of traffic and data processing.
Troubleshoot and resolve issues related to backend performance and reliability.
Stay current with industry trends and technologies to ensure our products remain innovative and competitive.
Mentor and guide junior developers, fostering a culture of continuous improvement and excellence.
Primary Qualifications:
Expertise with Python: Extensive experience in Python programming, with a deep understanding of its libraries and frameworks.
Scalability and Architecture: Proven ability to design and implement scalable backend systems, with a focus on performance optimization and architectural best practices.
Complex Python Backends: Demonstrated experience in building and managing complex Python backends at scale, preferably in a SaaS environment.
Strategic Thinking: Ability to provide strategic insights and advice on technical decisions, ensuring alignment with business goals.
Problem-Solving: Strong problem-solving skills with the ability to troubleshoot and resolve complex technical issues.
Collaboration: Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
Preferred Qualifications:
Experience working in high-growth tech companies, preferably at the level of Meta or similar.
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
Knowledge of Machine Learning and Data Science principles and how they integrate with backend systems.
Experience with continuous integration and continuous deployment (CI/CD) pipelines.
