Technical Lead, (Python / .Net) (Mexico -Based, Remote)

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Requirements:

• 10+ years of professional experience in software development, with a strong focus on Python.
• Deep understanding of backend system design, API development, databases (relational and NoSQL), and performance optimization.
• Proven ability to design and implement systems that scale — microservices, distributed systems, event-driven architecture, etc.
• Comfortable evaluating and working across multiple stacks or transitioning between them when needed.
• Experience deploying applications to cloud platforms (AWS, GCP, Azure) and working with CI/CD pipelines.
• Experience using AI tools is a must like Cursor, Copilot, or similar as part of your development workflow.
• Track record of leading and mentoring engineers, conducting design reviews, and fostering team alignment and delivery.
• A background in AI, machine learning, or data-driven applications.

Responsibilities:

• Mentor and guide engineers to deliver innovative, high-quality end-to-end solutions that align with both product goals and technical standards.
• Design and implement secure, efficient, and modular backend architectures that are built to scale — whether for high-concurrency APIs, data pipelines, or enterprise-grade platforms.
• Set and evolve backend architecture direction, including service design, API strategy, cloud infrastructure, and performance optimization.
• Drive adoption of clean code standards, testing strategies, and scalable design patterns across teams.
• Use AI tools like Cursor, GitHub Copilot, or similar to boost development speed, automate repetitive tasks, and maintain code quality at scale.
• Work closely with product managers, designers, frontend teams, and QA to deliver full-feature solutions that perform reliably in production.
• Actively troubleshoot and resolve high-impact technical challenges, contributing hands-on when needed.
• Guide CI/CD implementation, cloud deployments, infrastructure automation, and observability standards.
• Participate in setting long-term engineering vision, evaluating new technologies, and influencing product evolution.