Lead Software Engineer - Cloud Engineer, AWS, GCP

JP Morgan Chase; Jersey City (NJ); Sur place; USD 140 000 - 190 000; Plein temps

Résumé du poste

JPMorgan Chase in Jersey City is looking for a Lead Software Engineer to join a high-performing agile team. You will architect, build, and operationalize trusted, scalable software products across multiple domains, with a focus on secure, production-ready code.

You will lead design reviews, mentor engineers, and promote AI-assisted engineering practices to improve quality and delivery speed. The role demands deep Java expertise, cloud experience, and a passion for innovative, enterprise-grade

Qualifications

• Formal training or certification in software engineering with 5+ years practical experience.
• Hands-on 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.

Responsabilités

• 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.

Connaissances

Java development

AI agents for engineering

Agile methodologies

Linux/UNIX

Formation

Formal training or certification in software engineering

Outils

Terraform

Description du poste

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector, you are an integral part of an agile team that works to enhance, build, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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
• 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