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Lead Software Engineer - Python/React, Ansible, RHEL
lead · Technology / Software Development
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 Network Services Common Tooling 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).
Preferred qualifications
- TypeScript; modern React patterns; UI testing (Jest/RTL/Cypress).
- Python frameworks (FastAPI/Flask), async patterns, packaging, linting, CI.
- Ansible best practices (idempotency, roles/collections, secrets handling, inventory design, execution environments).
- Observability and operations (structured logging, metrics, tracing; on-call rotations).
- Containers and orchestration (Podman/Docker, Kubernetes/OpenShift).
- Familiarity with proxies/firewall concepts/load balancers.
- Provide senior technical leadership and execution ownership across Python services, UI, and automation workflows.