Java Engineer | Jersey City, US

Core Responsibilities 

• Provide regular technical guidance and direction to business partners, technical teams, contractors, and vendors. 

• Develop secure, high-quality production code and review, debug, and improve code written by others. 

• Drive decisions that influence product design, application functionality, technical operations, and engineering processes. 

• Serve as a function-wide subject matter expert in one or more technical focus areas. 

• Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes. 

• Establish consistent validation standards for AI-assisted outputs, including secure coding, peer review, automated testing, correctness, performance, and security review. 

• Apply knowledge of the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve automation value. 

• Actively contribute to the engineering community as an advocate for firmwide frameworks, tools, and SDLC practices. 

• Influence peers and project decision-makers to consider the use and application of leading-edge technologies. 

• Support a team culture grounded in diversity, opportunity, inclusion, and respect. 

Required Qualifications 

• Formal training or certification in software engineering concepts and 5+ years of applied experience. 

• Hands-on practical experience delivering system design, application development, testing, and operational stability. 

• Advanced Java programming capability. 

• Proficiency in automation and continuous delivery methods. 

• Proficiency across all aspects of the Software Development Life Cycle. 

• Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security. 

• Demonstrated proficiency in software applications and technical processes within a discipline such as cloud, artificial intelligence, machine learning, or mobile. 

• Demonstrated experience leading effective use of approved AI-assisted software development tools for coding, code review, test acceleration, and troubleshooting. 

• Ability to set team expectations for validating AI-generated outputs for correctness, performance, and security. 

• Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations. 

• Experience coaching engineers on safe, compliant adoption of AI-assisted engineering practices within delivery workflows. 

• Experience designing, deploying, and managing containerized applications using Kubernetes. 

• In-depth knowledge of financial services industry technology systems. 

Preferred Qualifications 

• Experience with Co-Pilot skills. 

• AWS Solution Architect certification. 

• Familiarity with Spring Boot. 

Operating Environment and Delivery Expectations 

• Operate as a senior technical contributor in an agile team focused on enhancing, building, and delivering trusted technology products. 

• Apply deep technical expertise and problem-solving methods across multiple technologies and applications. 

• Balance delivery speed from AI-assisted engineering with validation standards, security controls, peer review, automated testing, and responsible usage expectations. 

• Support production readiness through secure code quality, operational stability, resiliency, CI/CD discipline, and Kubernetes-based application delivery. 

• Contribute to broader engineering effectiveness through reusable patterns, firmwide SDLC practices, and adoption of leading-edge technologies.