Nacre Capital

Nacre Capital

Nacre Capital specializes in the creation and development of disruptive startups that leverage deep technologies to address fundamental needs and transform innovative ideas into rapidly growing, market-leading enterprises.

Capital Markets
11-50
Founded 2007

Description

  • Architect, build, and maintain scalable and secure backend services and APIs using Python web frameworks.
  • Integrate computer vision models and pipelines into backend workflows and optimize them for performance.
  • Design, query, and optimize relational SQL databases for speed, integrity, and availability.
  • Deploy, scale, and manage backend services on AWS with secure and efficient pipelines.
  • Lead technical design discussions and contribute to backend architecture decisions.
  • Write clean, well-tested code and maintain software quality through testing and reviews.
  • Conduct code reviews and mentor junior and mid-level engineers.
  • Support MLOps-related deployment, monitoring, and automation efforts for ML models in production.

Requirements

  • 10+ years of professional software development experience with strong Python expertise.
  • Hands-on experience building backend services in Python and deploying computer vision models in backend systems.
  • Strong command of Django, or experience with FastAPI or Flask for complex web services and RESTful APIs.
  • Strong SQL and relational database experience with PostgreSQL or MySQL, including schema design, indexing, and query optimization.
  • Hands-on experience deploying and managing backend applications on AWS.
  • Practical experience with computer vision frameworks such as OpenCV, PyTorch, TensorFlow, or PIL.
  • Experience with object-oriented or functional programming, clean architecture, unit testing, integration testing, CI/CD pipelines, and Git workflows.
  • Experience leading technical design discussions, code reviews, and software engineering teams.
  • Knowledge of biotechnology or a closely related domain (preferred).
  • Familiarity with MLOps tools and practices for monitoring, versioning, and managing ML models in production (preferred).

Benefits

  • 100% remote work with a flexible schedule.
  • Long-term stability in a growing engineering team.
  • High autonomy and technical ownership over architectural decisions and core products.

Interested in this position?

Apply directly on the company website

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