Lead Software Engineer - Full Stack ​/ React

:

Category:
Software Engineering

Job Schedule:

Full time

Posted Date: T23:00:23+00:00

Job Shift:

:

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
- Infrastructure Platforms
- Data and Speciality Services team, 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

* Establish AI-native engineering practices with robust validation standards to ensure speed never compromises correctness

* Work AI-native across the software development life cycle, using AI-assisted development, code review, test generation, and incident analysis while maintaining validaton standards

* 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.

* Own the design, delivery, and operation of enterprise-scale infrastrucutre services from architecture through production

* Write and review production code, maintaining a hands-on apporach and setting the bar for engineering quality

* 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

Required qualifications, capabilities, and skills

* Formal training or certificaiton on software engineering concepts and 5+ years applied experience

* Hands-on practical experience delivering system design, application development, testing, and operational stability

* Demonstrated experience leading effective use of approved AI-assisted software development tools (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 engineers on safe, compliant adoption within delivery practices

* Advanced hands on expereince engineering with production code experience in one or more programming industry-standard language(s) and framework(s) (e.g., Python, GO, Java, C++, Rust, React, Full Stack, etc.)

* Deep experience building and operating systems in at least one infrastructure domain (cloud, networking, compute, storage, security, or data infrastructure)

* Experience running production systems at scale, including on-call ownership, indcient response, and desinging for reliability and operability

* Understands how to lead and mentor engineers, with setting technical direction

* 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

Preferred qualifications, capabilities, and skills

* Experience across multiple infrastructure domains or programming languages

* Track record of reducing operational toil and cost through automation and better engineering

* Experience adopting AI-native engineering practices at team or organizational scale

* Prior experience in regulated or large-scale enterprise environments

* Experience with greenfield builds and establishing engineering culture

* Ability to influence engineering patterns beyond the immediate team