Lead Software Engineer UI-JavaReact

JPMorganChase
London
4 weeks ago
Applications closed

Related Jobs

View all jobs

Software Engineer

Head of Software Engineering | £150k – Java, Machine Learning, and Data-Driven Innovation

Software Engineering Manager | £110k – Java, Vue.js & AWS

Machine Learning and AI Engineering Lead

Engineering Manager

Bioinformatic Software Engineer

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

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Rural-Remote AI Jobs: A Breath of Fresh Air in the UK Tech Scene

A New Horizon for AI Professionals For years, conversations around tech careers in the UK have hinged on a central theme: to succeed in artificial intelligence (AI), you must be in or around London (or other big metropolitan areas like Manchester, Bristol, or Edinburgh). But times are changing. Technological leaps and the rise of flexible working are paving the way for AI professionals to live and work well beyond the capital. From the rugged coastlines of Cornwall and Pembrokeshire to the rolling hills of the Yorkshire Dales, we’re witnessing an exciting trend of AI remote countryside roles that allow you to work at the forefront of tech innovation—all while enjoying the tranquillity of rural or seaside living. At ArtificialIntelligenceJobs.co.uk, we’re seeing a marked increase in job postings and applications for these sorts of positions. A growing segment of job seekers is actively searching for “tech jobs by the sea” or “AI remote countryside,” driven by a desire for better work-life balance, lower living costs, and a healthier lifestyle. And it’s not just employees who stand to benefit; employers eager to attract top-tier AI talent are discovering that offering remote or flexible roles widens their candidate pool and enhances diversity. If you’re enticed by the idea of logging off from a day of coding neural networks and taking a stroll along a coastal path—or stepping outside your converted barn in Northumberland to soak in some fresh country air—this article is for you. Below, we’ll explore the benefits and challenges of rural-remote AI jobs, the specific roles best suited for remote work, and how to position yourself for success in this rapidly evolving sector.

When Qubits Fuel Neural Networks: The Emerging Frontier of Quantum-Enhanced AI

Artificial Intelligence (AI) has soared to unimaginable heights over the last few years, revolutionising sectors ranging from healthcare and finance to logistics and entertainment. But while deep learning models have grown more sophisticated and powerful, they remain tied to the limitations of classical computing systems. Enter quantum computing, a burgeoning field that leverages qubits—quantum bits—to achieve processing speeds that could leave even today’s most advanced supercomputers in the dust. What if we combined these two forces? Quantum-enhanced AI aims to integrate quantum hardware and algorithms into AI workflows, potentially unlocking efficiencies and capabilities that are currently out of reach. Although this domain is still in its infancy, experts predict it could reshape entire industries in the not-so-distant future. For professionals in AI, this is more than just an interesting development; it’s a pivotal shift that could spawn new roles, research areas, and opportunities. In this thought-leadership piece, we will: Outline the basics of quantum computing and why it matters to AI. Examine how quantum resources might supercharge neural networks. Highlight the career paths at the intersection of quantum and machine learning. Discuss the long-term outlook and what it means for AI professionals looking to stay ahead. Whether you’re already immersed in AI or just beginning to explore its potential, strap in—this new frontier promises a radical transformation.

AI Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Over the last decade, the United Kingdom has firmly established itself as one of Europe’s most significant technology hubs. Thanks to a vibrant ecosystem of venture capital, government-backed initiatives, and a wealth of academic talent, the UK has become especially fertile ground for artificial intelligence (AI) innovation. This growth is not just evident in established tech giants—new start-ups are emerging every quarter with fresh ideas, ground-breaking technologies, and a drive to solve real-world problems. In this Q3 2025 Investment Tracker, we take a comprehensive look at the latest AI start-ups in the UK that have successfully secured funding. Beyond celebrating these companies’ milestones, we’ll explore how these recent investments translate into exciting new job opportunities for AI professionals. Whether you’re an experienced machine learning engineer, a data scientist, or simply hoping to break into the AI sector, this roundup will give you insights into the most in-demand roles, the skills you need to stand out, and how you can capitalise on the current AI hiring boom.