Lead Backend Engineer – AI-Powered Cloud Microservices

JPMorganChase

Dublin

On-site

EUR 120,000 - 150,000

Full time

14 days+

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Job summary

JPMorganChase in Ireland (Dublin) is seeking a Lead Software Engineer within Employee Platforms. You will be a core technical contributor delivering trusted, scalable technology products and supporting mobile app deployment teams.

You will lead backend microservices, apply AI-assisted development practices, and collaborate across business functions to meet security and resiliency standards. Strong cloud, CI/CD, and full SDLC expertise are essential.

Qualifications

  • Formal training or certification in software engineering concepts with advanced applied experience.
  • 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.

Skills

Java
Spring Boot
AWS
ReactJS
AI
Code Quality
CI/CD
Security

Education

MS in Computer Science

Tools

Docker
Kubernetes
Splunk
JUnit

Job description

JPMorganChase in Ireland (Dublin) is seeking a Lead Software Engineer within Employee Platforms. You will be a core technical contributor delivering trusted, scalable technology products and supporting mobile app deployment teams.

You will lead backend microservices, apply AI-assisted development practices, and collaborate across business functions to meet security and resiliency standards. Strong cloud, CI/CD, and full SDLC expertise are essential.

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