Lead Software Engineer - AI-Driven, Secure Cloud Platform

JPMorgan Chase & Co.

Jersey City (NJ)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

JPMorganChase is seeking a Lead Software Engineer within the Global Technology Infrastructure Platform. You will be a key technical contributor, delivering secure, scalable software solutions across banking systems.

You will lead development efforts, review code, drive CI/CD, and mentor teams while promoting responsible AI practices and secure coding standards. The role emphasizes collaboration with external vendors and internal partners to strengthen risk management, resiliency, and

Qualifications

Demonstrated strong hands-on expertise in Hyper-V and Openshift Infrastructure development with 4+ years of relevant experience.
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 approved AI-assisted software development tools 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

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 team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards 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.