Sr. Lead Software Engineer - Full Stack/Big Data

What you'll do

• Provide technical guidance, develop and review production code, and drive decisions on product design and technical operations.
• Promote approved AI-assisted engineering practices, with standards for validating outputs and improving code quality, delivery, and operational outcomes.
• Champion firmwide engineering frameworks and practices, and serve as a subject matter expert.

What they ask for

• Formal training or certification in software engineering concepts and 5+ years of applied experience.
• Hands-on experience in system design, application development, testing, and operational stability; advanced skills in Java, J2ee, React, or Angular.
• Experience using enterprise-authorized AI-assisted software development tools and setting expectations for validating outputs; understanding of responsible AI use and secure handling.
• Experience with relational databases and SQL; knowledge of GIT, bitbucket, and Maven; advanced understanding of agile methodologies, CI/CD, resiliency, and security; practical AWS cloud-native experience and microservices/REST API development.

Nice to have

• Java 8/11/17 and object-oriented design and analysis.
• Big Data, preferably spark; Unix, shell scripts, or python.

Tools

Java, J2ee, React, Angular, SQL, GIT, bitbucket, Maven

AI focus

Drives adoption and governance of approved AI-assisted engineering tools for coding, code review, refactoring, testing, troubleshooting, and operational analysis. Establishes validation standards and promotes responsible use, including secure handling of sensitive data and validation for correctness, performance, and security.