Description

You will design, develop, and model execution platforms using AWS services and open source components to support credit decisioning and analytics pipelines.

Responsibilities

• Design and model execution platforms using AWS services and open source components.
• Deploy and migrate workflows across different environments.
• Modify and optimize existing decisioning processes and integrate platforms with other systems.
• Lead the development of complex functionality while coaching and guiding developers through development cycles.
• Drive adoption of engineering best practices including CI/CD, automated testing, and cloud-native architectures.

Required Skills

• Minimum of seven years of professional software engineering experience.
• Proficiency in Python, TypeScript, Scala, and SQL.
• Five years of experience with cloud computing in AWS, specifically EKS, Aurora, and MSK.
• Deep functional experience with DBT and Airflow.
• In-depth RDBMS development experience with PostgreSQL, MySQL, or Aurora.
• Experience with CI/CD pipelines, Infrastructure-as-Code, and automated delivery pipelines.
• Knowledge of API and integration frameworks such as GraphQL, gRPC, or Kafka.
• Experience with Agile/Scrum methodologies and test-driven development.
• Understanding of various programming styles (OO, functional) and software design patterns.
• Bachelor's degree in a relevant field.

Key Skills

Education

Bachelor's degree