Lead Software Engineer - Python

JPMorgan Chase & Co.; Dublin; On-site; EUR 120,000 - 180,000; Full time

Job summary

JPMorganChase in Dublin is seeking a Lead Software Engineer to join the Employee Platforms team. You will be a core technical contributor, delivering secure, scalable software and guiding design decisions across the SDLC in a fast-paced, agile environment.

The role emphasizes production-grade code, API design, cloud-native services (AWS), and mentoring engineers while adopting enterprise AI-assisted development practices to improve quality and delivery velocity.

Qualifications

• Formal training or certification on software engineering concepts and advanced applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced in one or more programming languages including Python.
• Demonstrated experience leading effective use of approved AI-assisted software development tools 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.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes
• Applies knowledge of SDLC tools and AI-assisted development to improve automation value
• Identifies opportunities to automate remediation of recurring issues to improve stability
• Leads evaluation sessions with vendors and internal teams to assess architectural designs and applicability within existing systems

Skills

Python

AI-assisted development

CI/CD

Security

Cloud architecture

Leadership

Mentoring

Tools

Terraform

AWS

React/Node.js stack

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 the Employee Platforms team, 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.

Job Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment 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.
• 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.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads 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 on software engineering concepts and advanced applied experience
• Hands‑on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming languages including Python
• Demonstrated experience leading effective use of approved AI‑assisted software development tools (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 engineers on safe, compliant adoption within delivery practices
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• In-depth knowledge of the financial services industry and their IT systems
  Practical cloud native experience
• Deep, hands‑on production experience across the Python + Node.js + Reactstack at scale, with the ability to set standards for API design, frontend architecture, and cross-tier performance/security.
• Track record leading design and delivery of cloud‑native services (AWS preferred), including containerization, IaC (Terraform), and CI/CD automation.
• Demonstrated ability to mentor associates, run design reviews, and drive technical decisions across a team of engineers.

Preferred qualifications, capabilities, and skills

• Frontend performance, accessibility (WCAG), and design-system patterns.
• Experience introducing or scaling AI-assisted engineering practices (Copilot-class tooling) within a delivery team — ties back to the AI bullets already in the required section.
• Familiarity with the JPMC control environment (SEAL, HLDD, ARB).
• Shaping the technical roadmap for a customer-facing or internal developer platform.