We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Lead Software Engineer at JPMorgan Chase within Enterprise Production Automation Services, 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
1. Execute creative software solutions, design, develop, and troubleshoot technical issues, thinking beyond routine approaches to build solutions or resolve problems.
2. Develop secure, high-quality production code, review, and debug code written by others.
3. Identify opportunities to automate or eliminate recurring issues to improve operational stability.
4. Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and applicability within existing systems.
5. Lead communities of practice across Software Engineering to promote awareness and adoption of new technologies.
6. Contribute to a team culture of diversity, equity, inclusion, and respect.
Required qualifications, capabilities, and skills
1. Proven experience with automation and orchestration software, including Cutover Run Book Orchestrator (essential) and Ansible (preferred).
2. Hands-on experience in system design, application development, testing, and operational stability.
3. Advanced proficiency in one or more programming languages.
4. Expertise in automation and continuous delivery methodologies.
5. Thorough understanding of all aspects of the Software Development Life Cycle.
6. Advanced knowledge of agile methodologies such as CI/CD, application resiliency, and security.
7. Proficiency in software applications and technical processes within a discipline like cloud, artificial intelligence, machine learning, or mobile development.
8. Deep understanding of the financial services industry and its IT systems.
9. Practical experience with cloud-native technologies.
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