Description

Key Responsibilities
 Develop and maintain quantitative research and investment analytics applications using Python, AWS, and React.
 Collaborate with business partners and product owners to translate business requirements into technical solutions.
 Build proofs of concept to validate patterns proposed by architecture and platform teams.
 Deploy and support AWS applications in production.
 Develop web applications, secure APIs, microservices, and data pipelines.
 Apply modern software engineering practices to deliver secure, resilient, and observable code.
 Participate in Agile development activities and collaborate with other developers.
 Support cloud technology adoption by facilitating and participating in technical knowledge-sharing sessions.

Technical Qualifications
Python Development
 Strong Python software development skills.
 Experience with libraries and frameworks such as NumPy, Pandas, scikit-learn, Dash, Dask, Flask, and Boto3.
AWS Cloud & DevOps
 Experience building and supporting AWS architectures and applications.
 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 React and Dash.
 Knowledge of session management, Okta integration, and hosting applications on AWS.
Data Engineering & Databases
 Experience with optimized data architecture and data pipelines.
 Hands-on experience with AWS Glue ETL, Amazon S3, and PostgreSQL.
 Familiarity with caching strategies.
APIs & Application Architecture
 Experience designing and orchestrating microservices.
 Knowledge of serverless architecture using AWS Lambda, SNS, and SQS.
 Experience implementing API Gateway and designing secure APIs

Key Skills

Education

Bachelor's degree