Principal Software Engineer - Java/Python, Data Platforms, Cloud

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 JPMorgan Chase within the Finance Technology team, which is aligned to Corporate Technology division, you will 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 organisation to drive best-in-class outcomes across various technologies to support one or more of the firm’s portfolios. Job responsibilities Creates complex and scalable coding frameworks using appropriate software design frameworks Develops secure and high-quality production code, and reviews and debugs code written by others Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorised tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorised AI-assisted development and automation capabilities, to improve the value realised by automation at scale. Advises cross-functional teams on technological matters within domain of expertise Serves as the function’s go-to subject matter expert Contributes to the development of technical methods in specialised fields in line with the latest product development methodologies Creates durable, reusable software frameworks that are leveraged across teams and functions Influences leaders and senior stakeholders across business, product, and technology teams Required qualifications, capabilities, and skills 10+ years relevant experience while having an overall of min 15+ years of technology experience Expert in Java or Python programming Hands-on practical experience delivering system design, application development, testing, and operational stability Experienced in Data & cloud-native platforms Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorised tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data. Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance; ability to influence senior technical leaders on safe scaling patterns and reuse. Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines Ability to present and effectively communicate with senior leaders and executives Practical cloud native experience Preferred qualifications, capabilities, and skills Familiarity with agile methodologies Knowledge of emerging industry trends Experience with Databricks