Senior Python Developer

• Design, develop, and implement new functionality for decoupled backend services
• Maintain, enhance, and refactor backend applications to improve scalability, reliability, and maintainability
• Analyze and optimize application performance, database queries, and overall system efficiency
• Own backend services throughout their lifecycle, including architecture, deployment, production support, monitoring, and continuous improvement
• Participate in technical design discussions, solution architecture, and project planning
• Collaborate with engineers, product managers, and stakeholders to deliver software solutions
• Review code, provide feedback, and champion engineering best practices
• Mentor and support team members on complex engineering challenges
• Troubleshoot production issues using profiling, monitoring, logging, and diagnostic tools
• Produce and maintain technical documentation, architectural diagrams, and design specifications
• Evaluate emerging technologies and recommend engineering-stack improvements
• Use AI-powered development tools such as Claude Code, GitHub Copilot, or Codex while ensuring code quality, correctness, security, and maintainability

• At least 5 years of professional experience developing backend applications with Python
• Strong commercial experience building web applications using Django and the Django ORM
• Solid experience working with relational databases, particularly MySQL
• Experience designing, developing, and consuming RESTful APIs, GraphQL, or similar service interfaces
• Experience working with distributed systems and asynchronous messaging technologies such as Celery
• Strong understanding of object-oriented programming, software design patterns, clean architecture, and distributed system design
• Experience using Git-based version control workflows, including branching strategies, pull requests, and code reviews
• Experience writing technical documentation and software design specifications
• Strong debugging, troubleshooting, and performance optimization skills using profiling tools, SQL execution plans, application monitoring tools (e.g., New Relic), and related technologies
• Ability to work independently, take ownership of technical solutions, prioritize tasks effectively, and proactively resolve issues
• Strong communication and collaboration skills with the ability to participate in technical discussions and mentor other engineers
• Preferred: Experience with Redis, Memcached, Elasticsearch, and Celery
• Preferred: Experience building, deploying, and operating cloud-native or highly scalable backend services
• Preferred: Experience working within Agile/Scrum development environments
• Preferred: Hands-on experience using AI-assisted development tools such as Claude Code, GitHub Copilot, or Codex
• Preferred: Experience mentoring junior and mid-level engineers and contributing to engineering standards and best practices

• Permanent employment
• 40 hours/week
• 21 days of annual leave