Introductory Marketing Language:
Are you ready to make a difference in Wealth Management technology? At Connect Wealth’s Portfolio Insights Construction team, you’ll help build platforms that empower advisors and clients. You’ll work with cutting-edge tools, collaborate with talented colleagues, and drive meaningful change across the firm’s advisory business. We value creativity, inclusivity, and your unique perspective. Discover a place where your skills and ideas can thrive.
Job Summary:
As a Lead Software Engineer in Connect Wealth’s Portfolio Insights Construction team, you will play a pivotal role in developing and maintaining platforms that serve position and account data for Wealth Management advisors. You will collaborate with cross-functional teams to deliver real-time alerting, portfolio analytics, and client-facing dashboards. You’ll help shape the team culture, drive technical excellence, and ensure the platform’s reliability and impact. Your contributions will directly influence how advisors and clients experience our services.
Job Responsibilities:
- Execute creative software solutions across ingestion, resolution, and serving layers of the platform
- Design, develop, and troubleshoot technical challenges, breaking down complex data-reconciliation problems
- Develop secure, high-quality production code in Java/Spring Boot and Python/Java Lambdas
- Review and debug code, including cross-service and cross-repo changes
- Drive adoption of enterprise-authorized AI-assisted engineering practices and establish validation standards for AI-generated code
- Apply SDLC toolchain and AI-assisted development capabilities to improve delivery velocity
- Identify and automate remediation of recurring operational issues to enhance platform stability
- Lead evaluation of architectural approaches for data-platform challenges and drive technical discussions with internal teams
Job Responsibilities:
- Execute creative software solutions across ingestion, resolution, and serving layers of the platform
- Design, develop, and troubleshoot technical challenges, breaking down complex data-reconciliation problems
- Develop secure, high-quality production code in Java/Spring Boot and Python/Java Lambdas
- Review and debug code, including cross-service and cross-repo changes
- Drive adoption of enterprise-authorized AI-assisted engineering practices and establish validation standards for AI-generated code