Lead Software Engineer UI-JavaReact

JPMorganChase
London
11 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer (Forward Deployed)

Lead Data Scientist - Remote

Lead Data Scientist - Remote

Lead Data Scientist

Data Science Manager – Property Tech – London

Senior Data Scientist

Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Lead Software Engineer at JPMorgan Chase within the Corporate and Investment Banking Payments Technology you play a crucial role in an agile team that is dedicated to improving creating and delivering trusted marketleading technology products in a secure stable and scalable manner. As a key technical contributor you are tasked with implementing vital technology solutions across numerous technical areas within various business functions to support the firms business goals.

Job responsibilities

  • Lead the strategy for our UI estate driving best practices on UX architecture and integration with our Back end components
  • Execute creative software solutions design develop and innovate across a full stack suite of applications.
  • Think beyond routine or conventional approaches to build solutions or break down technical problems
  • Engage directly with our Product Owners and stakeholders to drive the delivery of novel solutions
  • Mentor and guide the next generation of software engineers
  • Develop secure highquality production code and collaborate with peers to review and debug code
  • Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Lead evaluation sessions with external vendors startups and internal teams to drive outcomeoriented probing of architectural designs technical credentials and applicability for use within existing systems and information architecture
  • Investigate and triage new technologies that can provide benefit to the platform engage with senior partners to introduce these to the stack
  • Lead communities of practice across Software Engineering to drive awareness and use of new and leadingedge technologies
  • Add to team culture of diversity equity inclusion and respect

Required qualifications capabilities and skills

  • Formal training or certification on software engineering concepts and applied experience
  • Advanced knowledge on front end technologies Typescript AngularJS React Vite Jest D3 and related libraries/Frameworks
  • Strong knowledge of back end technologies Java Spring
  • Handson experience managing a book of work independently and engaging directly with stakeholders and product owners
  • Handson experience with UX best practices and practical experience delivering system design application development testing and operational stability
  • 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.
  • Indepth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience
Preferred qualifications capabilities and skills
  • Hands on experience with Kubernetes (Or CKAD certification)
  • Knowledge with MQ Kafka



Key Skills
Access Control System,Engineering,Bar Management,Jpa,Law,Jdbc
Employment Type :Full-Time
Experience:years
Vacancy:1

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.