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 Equities Tech team, you will be involved in all aspects of e-trading development in a DevOps role. Your responsibilities will include deploying in UAT, conducting integration testing, managing environments, and overseeing deployments and releases to production. Your focus will be on streamlining data flow from the FNO stack to regulatory and compliance systems for reconciliation, as well as analyzing exchange drop copy data to resolve issues. Additionally, you will triage reconciliation issues from the regulatory and compliance teams, assist with data queries, and collaborate with relevant teams to address stack issues.
Job responsibilities
- Lead the F&O Data Agenda, optimizing data flows from F&O Drop copies.
- Collaborate closely with reconciliation, regulatory, and compliance teams, as well as exchange drop copy systems, to ensure trading flow alignment with end-to-end systems.
- Develop and onboard reconciliation flows, addressing queries related to audits, data repair, and reconciliation.
- Support and execute the application testing phase, including both internal and exchange-driven testing.
- Coordinate with other technology teams to ensure cross-application data consistency.
- Manage release processes, integrating changes into release tickets for various applications and coordinating with stakeholders.
- Assist with or implement test automation solutions to enhance efficiency.
- Engage in the entire software development lifecycle, including requirements gathering, design, implementation, testing, deployment, and handover to support teams.
- Optimize costs by improving data storage efficiency.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Strong analytical development skills with a solid understanding of computer science fundamentals.
- Proficient in data handling, databases, and SQL.
- Good knowledge of Unix/Linux commands and shell scripting.
- Proficiency in a programming language such as Python.
- Excellent verbal and written communication skills.
- Good understanding of FIX and other financial messaging protocols.
- Hands-on experience with test automation and tools.
- Experience with GIT, Jira, Confluence, and Wiki.
- Experience in using Jenkins pipelines and building CI/CD pipelines.
