DNA Fullstack Developer - Senior Associate

JPMorgan Chase & Co.
Glasgow
1 month ago
Create job alert

As a Software Engineer III at JPMorgan Chase, in the Commercial and Investment Bank – Data Network Architecture team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for assessing emerging trends, technologies, electronic platforms, potential partnerships, and for building digital products-that could transform the way we, and our clients, do business. Our team consists of product managers, designers, developers and business representatives. The team is thoughtful in balancing due diligence with speed to market and creativity with the discipline to produce best-in-class, efficient, thoughtful digital solutions for our clients.Our team solves delivers products and platforms that provide innovative, cutting-edge solutions to the most challenging problems in the surfacing & discovery, quality, and delivery & governance of data in the industry.

Job Responsibilities

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Develops products that can change the way our clients operate, and how Banking is done today and ensure that we have regulatory compliance Influences decisions on Market Strategy, Platform Strategy, Client Engagement and implementing Innovative technology-based solutions Establish large and fascinating datasets currently not available anywhere else

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages - Java, Spring / Spring Boot, React Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle, architecture and design patterns Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (., cloud, artificial intelligence, machine learning, mobile, Familiarity with modern front-end technologies industry-wide technology trends and best practices Ability to work in large, collaborative teams to achieve organizational goals

Preferred qualifications, capabilities, and skills

Experience with any of the following:, Jenkins, Redux, Traform, Kubernetes, Spinnaker, Jasmine, Jest, Cypress  AWS certification Exposure to cloud technologies Passionate about innovation and automation

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.

AI Programming Languages for Job Seekers: Which Should You Learn First to Launch Your AI Career?

Artificial Intelligence (AI) is no longer confined to academic research; it now sits at the core of countless modern industries. From healthcare diagnostics powered by machine learning to autonomous driving and natural language processing, organisations are investing heavily in AI capabilities. This surge in AI adoption has created a thriving job market for talented professionals—data scientists, machine learning engineers, AI researchers, and more. Yet if you’re aiming to break into this fast-growing field, one of the first questions you’ll ask is, “Which AI programming language should I learn first?” Given the array of options available—Python, R, Java, C++, Julia, among others—understanding the strengths, community support, and industry relevance of each is crucial. In this extensive guide, tailored for www.artificialintelligencejobs.co.uk, we’ll explore the top AI programming languages that can help you stand out to employers, accelerate your learning curve, and equip you with the skills to succeed in a competitive job market. By addressing both beginners and experienced programmers, we aim to provide actionable insights to help you choose the right language, master essential tools, and build a compelling career in AI.

UK Visa & Work Permits Explained: Your Essential Guide for International AI Talent

The United Kingdom has long been a hub of innovation, drawing some of the world’s brightest minds to its shores. In recent years, the country’s thriving technology ecosystem has been propelled by advances in Artificial Intelligence (AI), Machine Learning (ML), Robotics, Data Science, and related fields. From deep-tech start-ups in Silicon Roundabout to established global powerhouses, the UK remains at the forefront of AI research and development. Yet, for international AI professionals hoping to contribute to the UK’s tech growth, one of the most challenging hurdles can be understanding the visa and work permit landscape. The UK immigration system has its unique nuances, and it can be overwhelming to decide which route is best suited for your career aspirations. This comprehensive guide will help you navigate the main visa and work permit options for AI professionals, provide insight into the eligibility criteria, and offer practical tips on securing your dream role in the British AI sector.

Top UK AI Research Labs & Institutes: Best Places for AI Jobs

In recent years, the United Kingdom has emerged as one of the leading global hubs for artificial intelligence (AI) innovation. With a strong academic tradition, active technology communities, and robust government support, the UK has seen the rise of numerous world-class AI research labs and institutes. Many of these organisations not only drive significant academic breakthroughs but also foster powerful industry collaborations, creating thriving ecosystems where talent, investment, and creativity converge. If you are keen on pursuing an AI career—be it in academia or industry—understanding where these AI powerhouses are located, what they specialise in, and how they collaborate can help you map a clear route to success. In this blog post, written specifically for ArtificialIntelligenceJobs.co.uk, we delve into the top UK AI research labs and institutes, outline the career paths available, and highlight how you can be at the heart of Britain’s AI innovation.