Description

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

Key Skills

Education

Bachelor's degree