Senior Lead Software Engineer, Java, Equities Prime - Securities Lending Technology

Job responsibilities • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems • Creating user interfaces and interactive features for web applications using languages and frameworks. • Develops secure high-quality production code, and reviews and debugs code written by others • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems • Leads evaluation sessions with internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies • Adds to team culture of diversity, opportunity, inclusion, and respect • Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. • Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Required qualifications, capabilities, and skills • Bachelor’s degree in computer science, Engineering, Mathematics, or other related disciplines • Formal training or certification on software engineering concepts and 12+ years applied experience • Hands-on practical experience delivering system design, application development, testing, and operational stability • Experience in software development of Micro services with Java, Spring Boot, Python • Experience with cloud technologies and distributed systems, RESTful APIs and web technologies. Knowledge of Restful Web Services, WebSockets; JSON • Hands-on experience designing and building enterprise-scale, high-volume data processing applications using SQL databases such as Oracle. • Advanced Proficiency in front-end languages and libraries (e.g.C#, React) and back-end languages and frameworks (e.g., Java, Spring, Python etc.) and practical cloud native experience. • Proficient in all aspects of the Software Development Life Cycle and proficiency in automation and continuous delivery methods • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security • Experience with build and Integration Tools, including knowledge of JIRA, Maven, Git, Jenkins, GitHub and BitBucket is required. • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, etc.) • Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls. Preferred qualifications, capabilities, and skills • Experience working across the entire Software Development Life Cycle in a large corporate environment. • Completed AWS Developer or Solution Architect Certification • In-depth knowledge of the financial services industry and their IT systems • Observability and production management tools (ex. Splunk / Dynatrace / Grafana) • A keen interest in staying ahead of modern development trends and experimenting with emerging technologies such as AI and Machine Learning.