Senior Python Backend Developer: Team Lead

Role Description

We are seeking a seasoned Senior Python Backend Developer: Team Lead to lead backend development, integrate computer vision capabilities into our architecture, and ensure our cloud systems are high-performing, reliable, and secure.

Key Responsibilities

• Backend Architecture & API Design: Architect, build, and maintain highly scalable and secure backend services and APIs using Python web frameworks (preferably Django).
• Computer Vision Integration: Integrate CV models/pipelines into core backend workflows, optimizing for speed, memory usage, and throughput.
• Database & Data Modeling: Design, query, and optimize relational SQL databases to ensure fast query performance, data integrity, and high availability.
• Cloud Infrastructure (AWS): Deploy, scale, and manage backend services on AWS, ensuring secure deployment pipelines and resource efficiency.
• Collaboration & Quality: Lead technical design discussions, write clean and well-tested code, conduct code reviews, and mentor junior/mid-level team members.
• MLOps Integration (Advantage): Assist in streamlining ML model deployment, tracking, monitoring, and pipeline automation to bridge the gap between AI research and production backend code.

Qualifications

• Experience: 10+ years of professional software development experience with proven expertise in Python.
• Backend Development: Hands-on experience building backend services in Python and deploying computer vision models within backend services.
• Web Frameworks: Strong command of Django (preferred) or other modern Python web frameworks (FastAPI, Flask) for building complex web services and RESTful APIs.
• Database Management: Strong fluency with SQL and relational databases (PostgreSQL, MySQL), including schema design, indexing, and query optimization.
• Cloud Platforms: Hands-on experience deploying and managing backend application architectures on AWS.
• Computer Vision: Practical experience working with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow, PIL).
• Software Engineering Best Practices: Experience applying object-oriented or functional programming concepts in Python, clean architecture, unit testing/integration testing, CI/CD pipelines, and Git workflows.
• Technical Leadership: Experience leading technical design discussions, conducting code reviews, and leading a software engineering team.

Requirements

• Domain Experience: Knowledge of biotechnology or a closely related domain.
• MLOps Experience: Familiarity with MLOps tools and practices for monitoring, versioning, and managing ML models in production environments.

Benefits

• 100% Remote Work: Work from anywhere with a flexible schedule.
• Long-Term Stability: A sustainable, long-term position in a growing engineering team.
• Technical Ownership: High autonomy to make architectural decisions and impact core products directly.