Software Engineer responsible for developing backend systems to support machine learning deployment. Collaborating with global teams and managing high performance APIs for financial services in emerging markets.
Responsibilities
Collaborate with global teams including Risk, Fraud, Engineering and Product to deliver world-class data science products to international markets, including decisioning APIs and external integrations for real time data consumption.
Own the life cycle (design, development, deployment, delivery and monitoring) of the APIs that power 300 million transactions per month and ensure they have optimal performance.
Drive the integration with 3rd parties and other internal sources of data for enrichment and machine learning inference.
Work with a data-driven mindset and understand the critical importance of handling data properly and safely.
Organize frameworks and develop processes in our codebase so that the easy and default coding style is cleanly structured.
Mentor other engineers and data scientists about best practices in engineering
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field.
3+ years of experience as a software engineer, data engineer or a closely related position with a proven track record of developing and maintaining APIs and backend systems.
High proficiency in Python and a strong understanding of its related libraries and frameworks (e.g., FastAPI, Flask, Pandas, etc).
Strong background in API development and integration, particularly focused on managing large volumes of data (e.g., REST is preferred but other protocols work).
Experience with API documentation tools (e.g., Swagger).
Demonstrated experience with cloud providers (AWS preferred) and related data services (e.g., databases, storage, serverless computing).
Ability to work in a fast paced environment with constant requirement changes.
Benefits
100% Company-funded Health and Life Insurance for employees and immediate family members
Indefinite-term contract
20 days of vacations
Phone finance, Headphone, home office equipment and fitness perks.
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