Python Aws

Based on the job description, this role is a Full-Stack Quantitative / Financial Data Engineer (or Cloud Software Engineer) focused on building next-generation quantitative research, signal generation, and backtesting platforms in the cloud.

Here is a breakdown of what this job requires:

• Programming Language: Strong Python expertise, specifically leveraging the data and web ecosystem:

  • Data & Analytics: NumPy, Pandas, scikit-learn, Dask (for parallel computing).

  • Web & Visualization: Dash, Flask, React (front-end development, session management, hosting).

• AWS Cloud Infrastructure & Serverless:

  • Compute & Serverless: Lambda, ECS, EC2, SageMaker (ML platform), Step Functions (orchestration).

  • Messaging & APIs: SNS, SQS, API Gateway (secure API design, microservices).

  • AWS Management: Boto3, CloudWatch (observability and monitoring).

• Data Engineering & Architecture:

  • Modern data pipelines and optimized data architecture.

  • Databases & Query Engines: Postgres, S3, AWS Glue ETL, Athena, and caching solutions.

• DevOps & CI/CD:

  • Infrastructure deployment and pipeline automation using Bamboo, Bitbucket, Artifactory, and Ansible.

• Platform Development: Build and maintain cloud-enabled signal generation, backtesting, and analytics platforms used for quantitative research and active/factor fund strategies.

• Architecture & Proofs of Concept (POCs): Perform POCs to validate new architectural patterns, test serverless design, and deploy production-ready AWS applications.

• Agile & Full-Stack Collaboration: Work inside an Agile team alongside Product Owners, business partners, and other engineers.

• Knowledge Sharing: Upskill the broader department in cloud technologies by leading and participating in internal tech talks.

• Financial Domain (Plus): Understanding of investment systems (front, middle, back office) and equity markets/trading strategies.

• Engineering Quality: Focus on security (Okta integration, secure API design), observability, and resilient, production-ready code.

Responsibilities

• In today's world data and data analytics is critical to all investment systems supporting front, middle and back office. In this role you will be working as part of a full stack team that supports QEG's cloud enabled signal generation, back testing, data, and analytics platforms.
• These platforms are used to manage QEG's active, factor and alternate strategy funds. You will also learn how the global investment industry and primary market trading works while working with complex and modern technologies in a truly global organization.
• If you are looking for a challenge and want hands-on experience with exciting, cloud technologies and AWS services as well as work closely with highly talented IT individuals, business partners to build and increase investment acumen, this is the job for you.
• We are looking for a developer, passionate about technology and adopting modern software engineering practices to join us in building next generation quantitative research platforms in the cloud. In this role, you will work within a full stack team alongside our Business Partners and Product Owners and an extremely motivated team of developers committed to working in an Agile environment.
• You will help us in doing POCs to validate patterns proposed by our architecture and platform teams and help deploy AWS applications to production.
• You will also help upskill the department towards adopting cloud technologies by facilitating and participating in tech talks.
• Ideal candidate will have a robust focus on delivering code that is observable, resilient, and secure.

Qualifications

• AWS Cloud & DevOps: Highly Skilled in Python (NumPy, Pandas, scikit-learn, Dash, Dask, Flask, Boto3, etc.) Python Software development experience Experience building & supporting AWS architecture and using AWS services like EC2, CloudWatch, ECS, Sage Maker, ECS, Steps Functions, Lambda, Postgres Experience with CI/CD pipeline tools like Bamboo, Bitbucket, Artifactory, Ansible Front-End Development: Experience with developing web app in Dash, React, session management, okta & hosting in AWS Experience with optimized data architecture, data pipelines, Glue ETL, S3, Postgres, Athena (this is a plus), Caching Microservices design & orchestration Serverless architecture using AWS Lambda, SNS, SQS. API Gateway implementation and secure API design.
• Knowledge of Investment domain specifically Equities is a plus.

• In today's world data and data analytics is critical to all investment systems supporting front, middle and back office. In this role you will be working as part of a full stack team that supports QEG's cloud enabled signal generation, back testing, data, and analytics platforms.
• These platforms are used to manage QEG's active, factor and alternate strategy funds. You will also learn how the global investment industry and primary market trading works while working with complex and modern technologies in a truly global organization.
• If you are looking for a challenge and want hands-on experience with exciting, cloud technologies and AWS services as well as work closely with highly talented IT individuals, business partners to build and increase investment acumen, this is the job for you.
• We are looking for a developer, passionate about technology and adopting modern software engineering practices to join us in building next generation quantitative research platforms in the cloud. In this role, you will work within a full stack team alongside our Business Partners and Product Owners and an extremely motivated team of developers committed to working in an Agile environment.
• You will help us in doing POCs to validate patterns proposed by our architecture and platform teams and help deploy AWS applications to production.
• You will also help upskill the department towards adopting cloud technologies by facilitating and participating in tech talks.
• Ideal candidate will have a robust focus on delivering code that is observable, resilient, and secure.