Location: Jersey City, NJ, United States

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Engagements with stakeholders 
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• 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.
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on experience across the SDLC, including system design, application development, testing, and operational stability.
• Advanced Python experience (e.g., Pandas, NumPy) developing, debugging, and maintaining enterprise-scale codebases, with proficiency in SQL and database querying.
• Hands-on experience with enterprise-authorized AI dev tools (coding/testing/troubleshooting/docs), with proven ability to validate and refine AI outputs for correctness, performance, and security.
• Understanding of responsible AI in engineering (data sensitivity, secure input/output handling, resiliency/security), with the ability to guide peers on safe, effective team usage.
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Experience with front end technologies including React, Javascript, Typescript
• Experience with data mesh technology and systems like Databricks is plus
• Exposure to cloud technologies
• Exposure to Banking/Finance or Risk domains
• Possess good communication skills engage with stakeholders

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