
Lead Software Engineer - React
Jpmc · Chicago, IL, United States
Strong hiring record · median 20 days open
Hiring signal
Actively hiring
Still listed on the employer's own board · publishes a salary range · How we score
All reasons
In its favour
- Still listed on the employer's own board
- Publishes a salary range
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 Corporate Technology, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
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.
- Drive architectural decisions for distributed systems including event-driven pipelines, CQRS patterns, and real-time data streaming
- 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
Collaborate with UX designers and product owners to translate requirements into intuitive UI screens and user flows.
- 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 (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 degree or certification on software engineering concepts and 5+ years applied experience developing UI’s with hands-on applied experience developing in React
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, and Software Development Lifecycle
- 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
- Experience in developing, debugging and automated testing (e.g. react testing library / cypress) within a commercial setting
- Experience collaborating with backend technology teams in designing scalable and reusable RESTful APIs
- 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
Preferred qualifications, capabilities, and skills
- Exposure to frontend libraries such as ag-grid, highcharts, redux as well as Typescript
- Exposure to performance tuning complex UI’s would be advantageous.
- Working within Investment Bank / Finance Technology
- Team management experience
- Experience in DevOps model and Kubernetes, cloud auto scalable infrastructure
Skills
- React
- Machine Learning
- React Testing Library
- Cypress
- Ag-grid
- Highcharts
- Redux
- TypeScript
- Kubernetes
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