Description

• Design, develop, and support full-stack applications using Python, React, and AWS.
• Build and enhance platforms supporting quantitative research, investment analytics, signal generation, and backtesting.
• Develop scalable APIs, microservices, data pipelines, and cloud-based applications.
• Work with business partners and product owners in an Agile development environment to translate business requirements into technical solutions.
• Build and support AWS applications using services such as Lambda, ECS, EC2, S3, Step Functions, CloudWatch, API Gateway, and Postgres.
• Develop data-driven applications using Python libraries including Pandas and NumPy.
• Build responsive web applications using React and/or Dash.
• Design secure, resilient, and observable applications and APIs.
• Participate in proof-of-concepts to evaluate new technologies and architectural patterns.
• Contribute to CI/CD, DevOps, automation, and cloud deployment practices.
• Help modernize existing applications and increase adoption of cloud technologies across the organization.
• Collaborate closely with highly skilled engineers, architects, business partners, and investment professionals.

Must Have

• Strong professional experience developing software with Python.
• Strong React/front-end development experience.
• Hands-on experience developing and deploying applications in AWS.
• Experience with cloud-based application architecture, APIs, microservices, and/or serverless development.
• Experience working with relational databases such as Postgres.
• Experience building or supporting data pipelines and data-driven applications.
• Strong understanding of modern software engineering practices, including CI/CD, testing, observability, security, and performance.
• Ability to work effectively with both technical and business stakeholders.
• Experience working in an Agile development environment.

Preferred Experience

• Experience in investment management, asset management, equities, trading, quantitative research, or financial technology.
• Experience supporting investment analytics, portfolio management, factor strategies, signal generation, or backtesting.
• Experience with Pandas, NumPy, scikit-learn, Flask, Boto3, Dask, or Dash.
• Experience with AWS services including Glue, Athena, SageMaker, Lambda, ECS, Step Functions, S3, and API Gateway.
• Experience with Okta or other identity/session-management technologies.
• Experience with CI/CD and DevOps tools such as Bamboo, Bitbucket, Artifactory, or Ansible.
• Experience designing optimized data architectures, caching strategies, and ETL/data pipelines.
• Knowledge of secure API design and serverless architecture.

Key Skills

Education

Bachelor's degree