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3–6 years of professional software engineering experience, with a strong portfolio of full stack development work
Proficiency in Python, including experience with web frameworks such as Flask or Dash
Experience integrating frontend applications with RESTful APIs and backend services
Relational and non-relational databases: SQL, MongoDB, and/or Snowflake using Python
Designing data models for effective data storage and retrieval (preferably SQL, MongoDB, Snowflake)
Debugging, issue resolution, and troubleshooting
Developing systems integrated with cloud services, such as for storage or secrets management (preferably AWS)
Designing and troubleshooting ETL pipelines
Developing REST APIs using Python frameworks (preferably Flask)
Publishing Python packages, maintaining them, and building Python CLI tools
Deploying REST APIs in containerized environments (Kubernetes), working with other developers in the team to integrate those APIs with web applications
Nice to have:
Exposure to financial systems, SEC API, and/or corporate credit modeling is strongly preferred
Familiarity with UX design tools (Figma) and solid understanding of the design-engineering hand-off process
Familiarity with deployment pipelines, CICD tools (preferably GitLab)
Configuring observability and alerting services (preferably Datadog and Opsgenie)
Containerized development and deployment (i.e. Docker, Kubernetes)
Writing infrastructure as code (preferably Terraform)