Software Engineer III - Python, AWS, AI/ML

Overview

In this role you design and deliver secure, scalable software solutions that advance the firm’s data and AI objectives. You’ll be part of an agile, cross-functional team, tackling complex technical challenges and driving end-to-end delivery. You contribute to engineering practices through solid design and coding excellence while promoting inclusion. The position offers growth and collaboration with engineers and data scientists to build data-driven products at scale. Join to help shape AI-driven platforms that power business innovation.

Responsibilities

• Translate complex problems into robust software designs and solutions
• Develop secure, high-quality production Python code and maintain ML-ready algorithms
• Create architecture and design artifacts reflecting system constraints
• Analyze large datasets to support visualization and continuous improvement
• Identify hidden data patterns to improve code hygiene and architecture
• Collaborate with data scientists and platform engineers on ML/AI deployments
• Contribute to communities of practice and explore new technologies
• Foster a diverse, inclusive team culture
• Leverage enterprise AI coding assist tools to boost quality and speed, with peer review and secure coding standards
• Apply SDLC tools and AI-assisted development to enhance automation value

Key requirements

• Formal training or certification in software engineering with hands-on experience
• Proficiency in Python for backend services and data-intensive apps
• Experience in system design, development, testing, and operational stability
• Experience building, debugging, and maintaining production code in a large-scale environment
• Knowledge of SDLC and agile practices including CI/CD, resiliency, and security
• Experience with cloud, AI/ML, or data engineering disciplines
• Hands-on use of AI-assisted development tools with ability to evaluate AI outputs
• Understanding of responsible AI use, data sensitivity, and secure handling of inputs/outputs
• collaboration
• problem-solving
• communication
• Python
• machine learning frameworks
• cloud-based infrastructure and data services

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