Lead Software Engineer - Java Full Stack, React
Lead Software Engineer - Java Full Stack, React
JP Morgan Chase & Co.Early Applicant
- Posted 6 hours ago
- Be among the first 10 applicants
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 Commercial & Investment bank, 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
As a Lead Software Engineer at JPMorganChase within the Commercial & Investment bank, 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 breakdown technical problems
- Develops secure and high-quality production code, and reviews and debugs code written by others
- 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.
- 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
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
- Hands-on practical experience deliveringsystem design, application development, testing, and operational stability for production systems.
- Advanced in one or more programming languages, with strong fundamentals inJavaScript and TypeScript.
- Strong hands-on React + Next.js engineering experience. Strong UX/UI engineering capability
- Strong hands-on Java backend engineering, caching and data layer experience. Hands-on AWS experience
- 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
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- In-depth knowledge of the financial services industry and their IT systems
Preferred qualifications, capabilities, and skills
- Experience withLLMs and agent frameworks, including prompt/tool orchestration patterns andevaluation strategies(quality, safety, regression testing, monitoring).
- Production experience withcontainers/Kubernetes, feature flags, and modern observability stacks.
- Performance tuning and resilience patterns such ascaching strategies, async workflows, circuit breakers, timeouts/retries, and backpressure.
- Experience withprogressive deliveryand experimentation practices (feature flags, phased rollouts, A/B testing), and operating services against defined reliability targets (SLIs/SLOs).
More Info
Job Type:
Function:
Employment Type:
Key Skills
SLIs
Prompt tool orchestration
Experimentation practices
Timeouts
Async workflows
Next.js
Observability stacks
Retries
AI-assisted software development tools
Feature flags
Application Resiliency
Resilience patterns
Backpressure
Agent frameworks
SLOs
CI/CD
About Company
Skills:
React, Rest Api, Java, Jwt, Typescript, Kotlin, Terraform, Helm, PostgreSQL, Spring Boot, Yaml, Dashboards, Redis, Docker, Oauth2, Websocket, Azure provider, Redis Cache, real-time state management, PostgreSQL Flex Server, ACR, Azure services, Log Analytics, Azure DevOps pipelines, alerting, error handling, Flyway, Datadog monitors, Key Vault, Security, asynchronous task-processing patterns
Skills:
AWS, Spring Boot, Java, Software Development Life Cycle, Agile Methodologies, React, Security, Application Resiliency
Skills:
Programming, Reactjs, CSS, Javascript, Object Oriented Design, Restful Apis, Core Java Technologies, React Redux
Skills:
react.js , Javascript, CSS, Redux, Mocha, Flux, Webpack, HTML, Jest, Enzyme
Skills:
Git, React, Javascript, CSS, Php, HTML