Lead Software Engineer - Python/React, Ansible, RHEL

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 Asset & Wealth Management, 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.

We are seeking a Vice President, Software Engineering to lead the design, development, and support of automation-enabled software solutions. This role requires deep Python expertise, strong React experience, hands-on knowledge of Ansible Automation Platform, and operational familiarity with RedHat Enterprise Linux (RHEL). The VP will partner closely with internal customers/users, own production outcomes, and drive improvements in reliability, usability, and delivery practices. Basic networking knowledge is preferred (e.g., DNS, TLS/certificates, connectivity troubleshooting).

Job responsibilities

• Own end-to-end delivery of software capabilities using Python (services, APIs, integrations, automation tooling) and React (UI workflows, API-driven front-ends).
• Drive design decisions and establish engineering standards (code quality, testing strategy, CI/CD patterns, release discipline).
• Build and scale automation and tooling capabilities to improve operational efficiency and user experience.
• Diagnose common integration and connectivity issues using basic networking fundamentals (e.g., DNS, TCP connectivity concepts, TLS/certificates), escalating to specialist teams when needed.
• 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.
• Develop and maintain automation solutions using Ansible Automation Platform (playbooks/roles, inventories, credential patterns, operational runbooks).
• Lead effective customer support practices: incident/ticket triage, prioritization, clear communications, root-cause analysis, and prevention plans.

• Troubleshoot issues on RHEL (service health, logs, permissions, performance basics) and coordinate resolution across partner teams.

   

• Partner with product, infrastructure/platform, security, and operations stakeholders to deliver outcomes and manage risk.

• Maintain documentation, runbooks, and knowledge content; drive continuous improvement to reduce recurring issues and toil.

   

Required qualifications, capabiltites, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• 5+ years of professional experience in Python, React, Automation software engineering experience.
• Deep Python engineering experience (production-grade code, debugging, testing, API integrations).
• Strong experience building web applications with React (component design, state management, API integration).
• Hands-on experience with Ansible Automation Platform (or enterprise-scale Ansible automation in a managed platform context).
• Practical experience supporting systems on RedHat Linux / RHEL.
• 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
• Demonstrated customer support/production support capability (incident ownership, RCA, stakeholder communication).

• Working knowledge of basic networking concepts used in troubleshooting (DNS, TLS/certificates, connectivity validation).

   

• Accountable for reliability and support outcomes (incident trends, SLA/SLO adherence where applicable).