Python AWS

Intone Networks

  • Charlotte, NC
  • 7 days ago

    Highlights

    You will build next-generation quantitative research platforms on AWS, collaborate closely with investment business partners and product owners in an Agile setting, and gain direct exposure to global investment trading operations. Join a full-stack engineering team supporting a Quantitative Equity Group's cloud-native signal generation, backtesting, data, and analytics platforms.

    Numbers & Facts

    LocationCharlotte, NC

    Description

    Join a full-stack engineering team supporting a Quantitative Equity Group's cloud-native signal generation, backtesting, data, and analytics platforms. This is a 6+ month contract role based in Charlotte, North Carolina. You will build next-generation quantitative research platforms on AWS, collaborate closely with investment business partners and product owners in an Agile setting, and gain direct exposure to global investment trading operations.

    Responsibilities

    • Design, build, and deploy high-performance full-stack applications and analytics tools to support quantitative research and fund management.
    • Conduct proofs-of-concept (POCs) to validate architectural design patterns and deploy resilient, observable, and secure production systems on AWS.
    • Work side-by-side with product owners, quantitative researchers, and cross-functional engineers to translate complex investment logic into scalable software.
    • Ensure high standards across system resilience, observability (monitoring/logging), data security, and automated CI/CD pipelines.
    • Facilitate and participate in departmental tech talks and knowledge-sharing initiatives to drive modern cloud adoption.

    Qualifications

    • Required
    • Strong expertise in Python software engineering and analytics/data libraries including NumPy, Pandas, Scikit-learn, and Dask.
    • Experience with Python frameworks and SDKs including Flask, Boto3, and Dash.
    • Hands-on experience with relational and analytical databases including PostgreSQL and AWS Athena.
    • Experience with data pipelines and ingestion including AWS Glue ETL, S3, and data caching strategies.
    • Proven hands-on experience designing and operating AWS cloud architecture using EC2 and ECS.
    • Experience with serverless and orchestration services including AWS Lambda, Step Functions, SNS, and SQS.
    • Experience with AWS SageMaker and CloudWatch.
    • Strong grounding in microservices design, RESTful API Gateway implementation, and secure API integration.
    • Experience developing modern, responsive front-end interfaces using React and/or Dash.
    • Experience handling web app session states, Okta integrations, and secure authentication flows hosted on AWS.
    • Hands-on experience with continuous integration and delivery tools including Bitbucket, Bamboo, Artifactory, and Ansible.
    • Preferred
    • Prior experience or strong interest in financial services, asset management, capital markets, or equities trading.

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