Expert
If you are looking for a game-changing career, working for one of the world's leading financial institutions, you’ve come to the right place.
As a Principal Software Engineer at JPMorganChase within the Commercial & Investment Bank Post Trade Technology, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm’s portfolios.
Job responsibilities
Leads technology and process implementations to achieve functional technology objectives
Accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
Sets direction and governance for agentic AI-enabled engineering and SDLC/TLM automation within a technical area to drive measurable improvements in speed, quality, and operational outcomes (e.g., AI-orchestrated delivery workflows, release readiness controls, automated test modernization, and incident triage acceleration), while establishing guardrails for validation, security, resiliency, traceability, and reuse across teams.
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 and support capacity unlock initiatives at scale.
Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
Delivers technical solutions that can be leveraged across multiple businesses and domains
Influences peer leaders and senior stakeholders across the business, product, and technology teams
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 7+ years applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
Experience developing or leading cross-functional teams of technologists
Experience with hiring, developing, and recognizing talent
Experience leading adoption of agentic AI-enabled engineering practices (using enterprise-authorized tools within the work environment) across teams, including defining operating expectations (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
Strong understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency/security implications, and governance; ability to influence leaders on safe scaling patterns and reuse.
Practical cloud native experience
Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field
Preferred qualifications, capabilities, and skills
Strong programming experience in Core Java.
Strong experience in C, C++, or C#.
Deep understanding of messaging and event-driven systems, including Kafka and MQ.
Experience with FIX protocol and trading/investment banking integrations.
Strong database experience, including MongoDB and Cassandra.
Experience with legacy-to-modern data platform migration, including Sybase modernization.
Strong understanding of performance tuning, scalability, concurrency, and resilient system design.
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