Python / AWS Full Stack Developer

Python / AWS Full Stack Developer W2 position
Location: Malvern, PA - Onsite
Relocation: Candidates open to relocation are welcome

Role Overview

Join a full stack team supporting QEG's cloud-based signal generation, backtesting, data, and analytics platforms. These platforms support active, factor, and alternative strategy funds.

You will work closely with business partners, product owners, and developers in an Agile environment to build next-generation quantitative research platforms using Python and AWS.

Responsibilities

• Develop and support cloud-based investment research, data, and analytics platforms.

• Collaborate with business partners and product owners to deliver solutions supporting front-, middle-, and back-office investment systems.

• Build proofs of concept to validate patterns proposed by architecture and platform teams.

• Develop and deploy AWS applications to production.

• Apply modern software engineering practices to deliver observable, resilient, and secure code.

• Support the department's adoption of cloud technologies by facilitating and participating in technical discussions and knowledge-sharing sessions.

• Build investment domain knowledge, including global investment operations and primary market trading.

Required Qualifications

Python Development

• Strong Python software development experience.

• Hands-on experience with libraries and frameworks such as NumPy, Pandas, scikit-learn, Dash, Dask, Flask, and Boto3.

AWS Cloud and DevOps

• Experience building and supporting AWS architecture.

• Hands-on experience with EC2, CloudWatch, ECS, SageMaker, Step Functions, and Lambda.

• Experience with CI/CD and deployment tools such as Bamboo, Bitbucket, Artifactory, and Ansible.

Front-End Development

• Experience developing web applications using Dash and React.

• Knowledge of session management, Okta integration, and hosting applications on AWS.

Data Architecture and Engineering

• Experience with optimized data architecture and data pipelines.

• Hands-on experience with AWS Glue ETL, S3, PostgreSQL, and caching.

Microservices and Serverless Architecture

• Experience designing and orchestrating microservices.

• Experience building serverless solutions using AWS Lambda, SNS, and SQS.

• Experience implementing API Gateway and designing secure APIs.

Preferred Qualifications

• Experience with Amazon Athena.

• Knowledge of the investment domain, particularly equities.