Lead Software Engineer- Backend

Next Frontier Capital; Dublin; On-site; EUR 90,000 - 150,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer within Employee Platforms to drive development of trusted, scalable fintech technology in an agile environment. You will serve as a core technical contributor across multiple business functions, delivering secure backend microservices and supporting mobile initiatives.

You will collaborate with Mobile Appstore and Mobile Kit teams to enable mobile deployments and feature sets, while guiding AI-assisted engineering practices and robust testing

Qualifications

• Formal training or certification in software engineering concepts with advanced applied experience.
• Demonstrate hands-on experience delivering system design, application development, testing, and operational stability.
• Advance your skills in one or more programming languages, including Java, Spring Boot, AWS, ReactJS, Docker, Splunk, Junit, and IT Test.
• Lead effective use of approved AI-assisted software development tools for coding, code review, test acceleration, and troubleshooting, setting team expectations for validating AI outputs for correctness, performance, and security.
• Apply a strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security standards; coach engineers on safe, compliant adoption.
• Be proficient in all aspects of the Software Development Life Cycle (SDLC).
• Possess advanced understanding of agile methodologies such as CI/CD, application resiliency, and security.
• Bring in-depth knowledge of the financial services industry and their IT systems.
• Demonstrate practical cloud-native experience.
• Build and maintain robust automated testing practices, including unit, integration, and end-to-end testing (e.g., JUnit for Java stacks), ensuring test automation is embedded into CI/CD pipelines.
• Operate and enhance production services using observability tooling (e.g., Splunk) for monitoring, incident response, root-cause analysis, and problem management; eliminate toil via automation

Responsibilities

• Execute creative software solutions, design, development, and technical troubleshooting, with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Develop secure and high-quality production code; review and debug code written by others.
• Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Apply knowledge of tools within the SDLC toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• 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 outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
• Operate and enhance production services using observability tooling (e.g., Splunk) for monitoring, incident response, root-cause analysis, and problem management; eliminate toil via automation

Skills

Java

Spring Boot

AWS

ReactJS

Docker

Splunk

JUnit

IT Test

CI/CD

Agile methodologies

Software engineering concepts

AI-assisted development

Cloud-native

Education

MS or Computer Science Degree

Tools

Docker

Kubernetes

Splunk

JUnit

Job description

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

As a Lead Software Engineer at JPMorganChase within Employee Platforms, you are an integral part of an agile team that works to enhance, build, and deliver trusted, market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Working within the Mobile Appstore and Mobile Kit teams, you will help develop and maintain backend microservices that provide company-wide access and support functionality for mobile application deployments and feature sets. You will play a central role in supporting and provisioning all mobile development teams across the company.

Job Responsibilities

• Execute creative software solutions, design, development, and technical troubleshooting, with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.

• Develop secure and high-quality production code; review and debug code written by others.

• Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.

• Apply knowledge of tools within the Software Development Life Cycle (SDLC) toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

• 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 outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.

  Required Qualifications, Capabilities, and Skills

• Formal training or certification in software engineering concepts with advanced applied experience.
• Demonstrate hands-on experience delivering system design, application development, testing, and operational stability.
• Advance your skills in one or more programming languages, including Java, Spring Boot, AWS, ReactJS, Docker, Splunk, Junit, and IT Test.
• Lead effective use of approved AI-assisted software development tools for coding, code review, test acceleration, and troubleshooting, setting team expectations for validating AI outputs for correctness, performance, and security.
• Apply a strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security standards; coach engineers on safe, compliant adoption.
• Be proficient in all aspects of the Software Development Life Cycle (SDLC).
• Possess advanced understanding of agile methodologies such as CI/CD, application resiliency, and security.
• Bring in-depth knowledge of the financial services industry and their IT systems.
• Demonstrate practical cloud-native experience.
• Build and maintain robust automated testing practices, including unit, integration, and end-to-end testing (e.g., JUnit for Java stacks), ensuring test automation is embedded into CI/CD pipelines.

• Operate and enhance production services using observability tooling (e.g., Splunk) for monitoring, incident response, root-cause analysis, and problem management; eliminate toil via automation

  Preferred Qualifications, Capabilities, and Skills

• Hands-on experience in full-stack software engineering delivering large-scale, production-grade systems (including design, development, testing, and operational stability).

• MS or Computer Science Degree

• AWS certification preferred (e.g., Solutions Architect / Developer / DevOps Engineer).

• Strong experience with Docker and Kubernetes in production (containerization, deployments, rollout strategies, troubleshooting, runtime performance).

• Strong automated testing expertise including JUnit and integration testing, plus CI/CD quality gates and test strategy ownership.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. We have an opportunity to impact your career and provide an adventure where you can push the limits of what’s possible.