Job Description :

Role: Strong Backend Developer
Location: Remote (Anywhere)
Duration: Long-term

  • Should be available to support regular PST hours.

 

Details:

  • Design, develop, and maintain backend applications and APIs, primarily using Django.
  • Collaborate with cross-functional teams to define, develop, and deploy new features that drive our synthetic biology products.
  • Optimize backend systems for scalability, reliability, and high performance.
  • Implement secure, robust, and scalable API services and data storage solutions.
  • Conduct regular code reviews, unit testing, and integration testing to ensure code quality and best practices.
  • Troubleshoot and resolve complex issues across development, testing, and production environments.
  • Contribute to architectural discussions and technical planning sessions.
  • Mentor and guide junior engineers on best practices in backend development.
  • Ensure the security, data integrity, and compliance of backend services.
  • Stay updated with the latest developments in Django and backend trends to drive innovation.

Essential Qualifications and Experience:

  • 4+ years of experience as a Backend Software Engineer specializing in Django and Python.
  • Proficiency in designing and developing RESTful APIs and microservices architectures.
  • Strong experience with relational databases (e.g., PostgreSQL) and database schema design.
  • Hands-on experience with CI/CD practices, version control (Git), and containerization (Docker).
  • Familiarity with web security standards and protocols, such as OAuth and data encryption.
  • Excellent problem-solving skills, attention to detail, and ability to work independently or as part of a team.
  • Strong communication and collaboration skills.

Preferred Qualifications and Experience:

  • Experience working in a high-growth startup environment.
  • Familiarity with cloud services such as AWS, GCP, or Azure.
  • Exposure to frontend frameworks (e.g., React) for seamless backend-frontend integration.
  • Experience with message brokers (e.g., RabbitMQ, Kafka) and caching solutions (e.g., Redis).
             

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