JPMorganChase
Website:
jpmorganchase.com
Company:
https://www.linkedin.com/company/jpmorganchase
Seniority: Not Applicable
Industries: Financial Services
Job details:
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 JPMorgan Chase within the Commercial & Investment Bank's Reconciliation technology team, you'll be 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. You will be part of the best-in-class Reconciliations platform team and will work with a highly inspired and inquisitive team of technologists who are developing and deploying applications to the highest standards. The team is responsible for providing a multi-asset Reconciliations platform that will cover cash, swaps, listed options and futures across Front, Middle and Back Offices.
Job Responsibilities
- Work across entire software development lifecycle: requirements gathering, design, implementation, testing, deployment and handover to support teams.
- Join the cloud adoption journey.
- 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.
- Manage requirements, specifications, and design documents
- Handle release and stakeholder management
- Involve in L3 support for Production environments
Required Qualifications, Capabilities, And Skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Strong analytical development skills, solid understanding of computer science fundamentals
- Strong development experience in Java and public cloud offering
- Comfortable working with Linux based environments and having good knowledge of Unix/Linux commands and shell scripting
- A strong passion for infrastructure as code and associated automation and provisioning tools like Terraform, Ansible etc.
- 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
- Good understanding of CI/CD pipeline build, improvement and management
- Experience with GIT, Jira, Confluence, Wiki
- Excellent verbal & written communication skills
- Experience working in a team with a strong software development process (build, test, deploy)
Preferred Qualifications, Capabilities, And Skills
- Knowledge of KDB/q is a plus.
- Preferred experience in Cloud Infrastructure and related technologies
- Good understanding of FIX and other financial messaging protocols is preferred
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