Lead Software Engineer - Analytics & Feedback Platforms

What you'll do

• Designs, develops, troubleshoots, reviews, and debugs production software.
• Promotes enterprise-authorized AI-assisted engineering and establishes validation practices for quality, security, and performance.
• Improves operational stability through automation and evaluates vendor and internal technology solutions.

What they ask for

• 5+ years of applied experience designing, developing, and delivering enterprise software solutions, with formal training, certification, or equivalent experience in Software Engineering.
• Hands-on experience across system design, application development, testing, deployment, and operational support of scalable, resilient applications.
• Demonstrated use of AI-assisted software development tools and understanding of Responsible AI practices in engineering workflows.
• Experience with cloud-native applications and server-side development using Java, JEE, Spring, Spring Boot, REST APIs, Kafka, JUnit, integration testing, and BDD.

Nice to have

• Strong analytical and problem-solving skills and ability to make technical decisions with limited oversight.
• Working knowledge of financial services technology, controls, compliance, and regulatory considerations.

Tools

Java, JEE, Spring, Spring Boot, REST APIs, Kafka, JUnit, CI/CD

AI focus

Uses AI-assisted development for code generation, reviews, testing, troubleshooting, and documentation; drives team adoption of approved AI practices and safe, secure validation.