Contract Python Microservices Developer - Django

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Requirements:

• 5+ years of experience building, delivering, enhancing, and maintaining apis consumed by multiple systems using a Python-based framework like Django, FastApi, or Flask
• Significant experience with performance optimization (async processing, caching, queuing, and query optimization)
• Experienced with high-volume systems - hundreds of thousands of users and transactions per day
• Experienced with system monitoring and telemetry
• Experienced working with relational databases, ORMs, and SQL
• Skilled at developing full-stack web applications
• Ability to translate business goals and requirements into technical solutions
• Proven track record in high-performance teams, where cross-functional collaboration is valued
• Excellent problem-solving and communication skills
• Knowledge of investing and/or finance

Responsibilities:

• Contribute to the development and execution of Motley Fool’s investing microservices, ensuring alignment with business objectives
• Responsible for systems and data core to our investing products, website, tools, and subscribers including: US and international market data, Portfolio holdings and returns, Corporate actions, Company fundamentals, Crypto, Options, and IPOs, Automated aggregation of subscriber portfolios across brokerages
• Responsible for in-house systems that manage trading compliance and holdings disclosures
• Integrate with a variety of third party providers and tools
• Ensure calculations are accurate with automated tests to validate
• Ensure critical data is fresh and highly available with failover capabilities
• Collaborate with the team’s product owner and project manager to set the team up for success with shovel ready work that has the value and acceptance criteria clearly defined
• Conduct regular 1:1s with direct reports
• Regularly review code, contributions, and delivery flow to identify opportunities for improvement and optimization
• Drive professional development and career growth opportunities for team members
• Partner with multiple in-house teams and external providers to launch subscriber-facing solutions
• Find ways to leverage AI tools like Claude or GitHub Copilot to assist the team (e.g. architectural concepts and diagrams, starter code, automated tests)