Senior Python Developer

4 days ago


Eastern England, United Kingdom Opus Talent Solutions Full time

About the Opportunity:

I am working with a deep tech start-up seeking a Senior Backend Engineer with expertise in Python/Django or Flask. This role involves working on the backend of their generative AI system, ensuring robust and suitable software applications. Ideal candidates will have over 5 years of industry experience in backend development.


Package:

  • Salary: £80-90k per annum
  • Career Progression: Rapid advancement opportunities
  • Influence: Shape the direction of a successful early-stage business
  • Share Options: Generous scheme
  • Work Hours: Highly flexible
  • Hybrid Working: 2-3 days per week at the oxford based office


Responsibilities:

  • Develop and maintain scalable backend systems using Python and Django/Flask
  • Create and manage RESTful APIs with OpenAPI/Swagger specifications
  • Ensure backend architecture supports horizontal scaling and high availability
  • Implement robust authentication and authorization mechanisms
  • Optimize database performance and manage scaling with PostgreSQL or MySQL
  • Integrate logging and monitoring solutions for system reliability
  • Conduct code reviews and enforce coding standards
  • Mentor junior backend developers
  • Collaborate with frontend engineers and stakeholders


Requirements

  • Security Clearance: Eligible/Past/Present SC clearance
  • Education: Bachelor’s degree in Computer Science, Engineering, or related field
  • Experience: 5+ years in backend development with Python and Django
  • Skills: Proficiency with Django REST Framework, database management (PostgreSQL/MySQL), AWS and Azure, API versioning, Docker, authentication protocols, Git
  • Attributes: Excellent problem-solving, communication, and collaboration skills


Nice to have:

  • Experience with message queues (RabbitMQ or Kafka)
  • Knowledge of service discovery and API gateway patterns
  • Familiarity with WebSocket services for real-time features
  • Experience with data warehousing and analytics solutions
  • Understanding of backup and disaster recovery strategies
  • Experience with distributed systems and microservices architecture
  • Familiarity with monitoring tools like Prometheus, Grafana, or ELK Stack



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