Location: Jersey City, NJ, United States

• 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
• 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 external vendors, startups, and 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
• 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

• 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 with Java development 
• Knowledge of cloud skills and/or hands-on experience with AWS or GCP
• Understanding of Agile methodologies such as CI/CD, Applicant Resiliency, and Security
• Familiar with Linux/UNIX environment
• Experience working with AI agents for engineering 

Preferred qualifications, capabilities, and skills

• Experience with networking control points such as firewalls, security groups, ingress/egress controllers
• Experience with automation testing 
• Experience leveraging Terraform to define, provision, and manage cloud infrastructure
• Should be highly organized, detail-oriented, hands-on, motivated self-starter who can work independently
• Eager to learn and experiment with cutting-edge technologies
• AI enthusiast - focused on applying AI to drive meaningful impact for the team