Full Stack Python Developer (AWS)

Decision Six Inc.

Charlotte, NC, United States of America • 52m ago • On-site

Junior

On-site

50 - 50 USD/yr

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Quick Facts

  • Role: Full Stack Python Developer (AWS)

  • Team: Full-stack Agile team for cloud-enabled quantitative research platforms

Description

You will work as part of a full stack team supporting cloud-enabled signal generation, backtesting, and data/analytics platforms used for investment strategy funds. The role involves building POCs, deploying AWS applications to production, and helping the department adopt cloud technologies through tech talks. You’ll focus on delivering observable, resilient, and secure code using modern software engineering practices.

Responsibilities

  • Develop and support QEG cloud-enabled signal generation, backtesting, and data/analytics platforms

  • Build and validate POCs for architectural and platform patterns

  • Deploy AWS applications to production

  • Facilitate and participate in tech talks to upskill the department in cloud technologies

  • Work with Business Partners and Product Owners in an Agile environment

Requirements

  • Strong Python software development experience

  • Highly skilled in Python and related libraries (e.g., NumPy, Pandas, scikit-learn, Dash, Dask, Flask)

  • Experience building and supporting AWS architecture and using AWS services (e.g., EC2, CloudWatch, ECS, SageMaker, Step Functions, Lambda)

  • Experience with AWS data/storage components (e.g., Postgres, S3, Glue ETL, Athena)

  • Experience with CI/CD tooling and automation (e.g., Bamboo, Bitbucket, Artifactory, Ansible)

  • Front-end experience with Dash and/or React, including session management and Okta

  • Experience with microservices/serverless design and orchestration on AWS (Lambda, SNS, SQS)

  • Ability to implement secure APIs using API Gateway

Benefits

  • Hands-on experience with cloud technologies and AWS services

  • Opportunity to work closely with talented IT and business partners

  • Build next-generation quantitative research platforms in the cloud

  • Environment focused on modern engineering practices in a global organization

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