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 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 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.

Required qualifications capabilities and skills

• Bachelors Degree in Computer Science related disciplines
• Formal training or certification on software engineering concepts and 5 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 ServicesWebSockets; 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 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

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.