In this role you contribute as a seasoned engineer within Corporate Technology to deliver secure, scalable software and data-driven solutions. You will collaborate across teams to tackle complex problems, shape architecture, and drive engineering excellence in a fast-paced environment. Your work directly supports millions of customers and the firm’s business objectives. This opportunity combines hands-on development with shaping best practices in an innovative, inclusive culture.
Responsibilities
Develop and troubleshoot software solutions, solving complex problems with scalable approaches
Produce secure, high-quality production code and maintain relevant algorithms
Create architecture and design artifacts while ensuring constraints across the development lifecycle
Analyze and visualize large data sets to inform continuous improvement
Identify hidden patterns in data and drive improvements in coding hygiene and system architecture
Contribute to engineering communities of practice and explore new technologies
Foster a culture of diversity, inclusion, and respect within the team
Leverage enterprise-authorized AI coding assist tools to improve code quality, speed, and productivity while validating results through peer review and secure coding standards
Apply SDLC toolchain knowledge, including AI-assisted development and automation, to increase automation value
Key requirements
Formal training or certification in software engineering concepts
Hands-on experience in system design, application development, testing, and operational stability
Proficiency in one or more programming languages
Experience with large-scale development and database querying
Solid understanding of the Software Development Life Cycle
Experience with agile methods, CI/CD, resiliency, and security
Knowledge of software processes in a technical discipline (cloud, Databricks, PySpark, AI/ML, mobile, etc.)
Hands-on experience using AI-assisted development tools with ability to critically evaluate AI outputs
Understanding of responsible AI use, data sensitivity, secure inputs/outputs, and security expectations
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