JP Morgan Chase

Runs a consumer bank and an investment bank

Software Engineer 3 – Senior Associate - Java

Backend EngineeringConfirmed live in the last 24 hours

Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

Formal training or certification in software engineering concepts and advanced applied experience programming in Java with Spring Boot.
Hands-on practical experience in system design, application development, testing, and operational stability.
Proficiency in automation and continuous delivery methods.
Proficiency in the Software Development Life Cycle, software engineering principles, design patterns, and best practices.
Advanced understanding of agile methodologies, continuous integration and continuous delivery, application resiliency, and security.
Demonstrated proficiency in software applications and technical processes within a technical discipline such as cloud, artificial intelligence, machine learning, or mobile.
Hands-on experience with high-throughput, low-latency distributed systems, ensuring efficient communication and integration between systems.
A proven record of providing end-user support and problem-solving abilities.
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools, including coding, code review, test acceleration, or troubleshooting, and setting team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; experience coaching senior engineers or leads on compliant usage patterns and controls.

Responsibilities

Execute software solutions, design, development, and technical troubleshooting, using approaches beyond routine methods to build solutions or break down technical problems.
Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
Use enterprise-authorized AI coding-assistance tools to improve code quality, delivery speed, and productivity across complex deliverables, validating outputs through peer review, automated testing, and secure coding standards; contribute learnings and reusable patterns to improve team effectiveness.
Apply knowledge of Software Development Life Cycle toolchain capabilities, including enterprise-authorized AI-assisted development and automation, to improve the value realized through automation.
Produce architecture and design artifacts for complex applications and ensure design constraints are met in software development.
Gather, analyze, synthesize, and visualize or report on large, diverse data sets to continuously improve software applications and systems.
Identify hidden problems and patterns in data and use insights to improve coding hygiene and system architecture.

Desired Qualifications

Advanced knowledge of reactive programming technology.
Knowledge of on-premises and/or public cloud environments.
Knowledge of CockroachDB or Cassandra and distributed databases.

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Commercial & Investment Bank's Payments Technology group, you play a vital role in an agile team dedicated to enhancing, building, and delivering reliable, market-leading technology products with a focus on security, stability, and scalability. As a key technical contributor, you are tasked with implementing essential technology solutions across diverse technical domains, supporting various business functions to achieve the firm's strategic goals

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
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
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.
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

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and advanced applied experience in Java on Spring Boot programming language
Hands-on practical experience in 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, software engineering principles, design patterns, and best practices
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.)
Hands on experience working with high throughput, low latency distributed systems ensuring efficient communication and integration between different systems
Proven record of providing end-user support with excellent problem-solving abilities
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.

Preferred qualifications, capabilities, and skills

Advanced knowledge in reactive programming technology
Knowledge of On-prem and/or public cloud
Knowledge in Cockroach or Cassandra / distributed database

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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