Lead Software Engineering - Automation

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer in Jersey City to advance trusted, scalable technology across platforms. You will act as a core technical contributor, driving architecture, secure coding, and production readiness in a fast, collaborative environment.

You will lead agile teams, promote AI-assisted development, and ensure operational stability while mentoring engineers and shaping best practices across the SDLC. The role emphasizes security, resiliency, and scalable delivery.

Qualifications

• Strong hands-on experience in infrastructure development.
• Experience delivering design, development, testing, and operational stability.
• Advanced in one or more programming languages.
• Proficiency in automation and continuous delivery methods.
• Extensive SDLC knowledge and Agile practices.

Responsibilities

• Executes creative software solutions and designs, solving complex problems.
• Develops secure production code; reviews and debugs code from others.
• Identifies opportunities to automate remediation and improve stability.
• Leads evaluation sessions with vendors and internal teams on architecture.
• Leads communities of practice to promote new technologies.
• Fosters a culture of diversity, inclusion, and respect.
• Drives AI-assisted engineering practices with measurable validation.

Skills

Infrastructure development

CI/CD

Cloud technologies

Secure coding

Leadership

Tools

AI-assisted development tools

Automation tooling

Job description

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 JPMorganChase within the Global Technology Infrastructure platform, youare 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
• Adds to team culture of diversity, opportunity, inclusion, and respect
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.

Required qualifications, capabilities, and skills

• Strong hands-on experience in Infrastructure development about 4 years
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.

Preferred qualifications, capabilities, and skills