AWS Lead Software Engineer

Job responsibilities

• Designs and implements secure Data Lake solutions within the AWS environment.
• IaaS (Infrastructure As A Code) development including Terraform configuration scripts, Python scripts, or Java programming to create services and resources in AWS Cloud environment.
• Explores and evaluates new Data Management features offered by AWS.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, MCP server creation, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
• Collaborates with different teams to execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Contributes to software engineering communities of practice and events that explore new and emerging technologies.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on experience in AWS, especially in Data Management arena such as Glue, EMR, Athena, Redshift, and Lake Formation.
• Proficient in Python, Java, and database query languages for applications development, debugging, and maintenance in a large corporate environment.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
• Overall solid knowledge of the Software Development Life Cycle.

Preferred qualifications, capabilities, and skills

• Hands-on Terraform or other IaaS experience.
• AWS certification on Solutions Architect Associate / Developer level.
• Other advanced level certification on programming languages.
• Knowledge working with PCI and sensitive data workloads.

About the team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.