Java Backend Software Engineer II

JPMorganChase

Glasgow

9 months ago

Applications closed

Related Jobs

View all jobs

2026 Summer Internship, Engineering & Data Science (London)

Java UI & Data Science Developer — Flexible Work

Senior Software Engineer, Cloud Native & MLOps

Data Science Manager: Metaheuristics & Optimization

Data Science Manager - Metaheuristics Lead (Hybrid)

Senior Data Science Engineer

Description

Youre ready to gain the skills and experience needed to grow within your role and advance your career and we have the perfect software engineering opportunity for you.

As a Java Backend Software Engineer II at JPMorgan Chase within the REFERENCE DATA ENGINEERING TEAM you are part of an agile team that works to enhance design and deliver the software components of the firms stateoftheart technology products in a secure stable and scalable way. As an emerging member of a software engineering team you execute software solutions through the design development and technical troubleshooting of multiple components within a technical product application or system while gaining the skills and experience needed to grow within your role.

Job responsibilities

Executes standard software solutions design development and technical troubleshooting
Writes secure and highquality code using the syntax of at least one programming language with limited guidance
Designs develops codes and troubleshoots with consideration of upstream and downstream systems and technical implications
Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
Gathers analyzes and draws conclusions from large diverse data sets to identify problems and contribute to decisionmaking in service of secure stable application development
Learns and applies system processes methodologies and skills for the development of secure stable code and systems
Adds to team culture of diversity equity inclusion and respect

Required qualifications capabilities and skills

Formal training or certification onsoftware engineeringconcepts and proficient applied experience.
Handson practical experience in system design application development testing and operational stability
Experience in developing debugging and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages such as SQL
Demonstrable ability to code in one or more languages such as Java Spring boots
Experience across the whole Software Development Life Cycle
Exposure to agile methodologies such as CI/CD Application Resiliency and Security
Emerging knowledge of software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.

Preferred qualifications capabilities and skills

Familiarity with modern frontend technologies
Exposure to cloud technologies

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.

Industry Insights

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

Jan 23, 2026

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

Jan 18, 2026

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

Jan 13, 2026

Jobs

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.