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Senior Director of Software Engineering - Executive Director
- City of London, England, United Kingdom
- City of London, England, United Kingdom
Über
As a Senior Principal Software Engineer at JPMorganChase within Infrastructure Platforms - Cloud Foundation Services, you provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, best practices, and technological advances.
Job responsibilities
Advises and leads on the strategy and development of multiple products, applications, and technologies across a portfolio
Creates novel code solutions and drives the development of new production code capabilities across teams and functions
Translates highly complex technical issues, trends, and approaches to leadership to drive the firm’s innovation and enable leaders to make strategic, well-informed decisions about technology advancements
Drives adoption and implementation of technical methods in specialized fields in line with the latest product development methodologies
Creates durable, reusable software frameworks that are leveraged across teams and functions
Influences across business, product, and technology teams and successfully manages senior stakeholder relationships
Champions the firm’s culture of diversity, opportunity, inclusion, and respect
Sets and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation (using enterprise-authorized tools within the work environment) to drive firmwide objectives (speed, scalability, reliability, and cost-to-serve), including portfolio-level standards for AI-orchestrated delivery workflows, release governance, automated test modernization, resilience engineering, and incident response acceleration; establishes guardrails for validation, security, resiliency, traceability, and reuse
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive cross-domain reuse and measurable capacity unlock outcomes across departments
Required qualifications, capabilities, and skills
Proven software engineering experience
Practical experience delivering system design, application development, testing, and operational stability
Expert in one or more programming language(s): Java, Go, Python, Rust, etc.
Demonstrated prior experience with influencing across functions and teams and delivering value at scale
Experience applying expertise and new methods to determine solutions for complex technology problems across various technical disciplines
Extensive practical cloud native experience
Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field
Experience leading multi-organization adoption of agentic AI-enabled engineering operating models (using enterprise-authorized tools within the work environment), including defining governance (human-in-the-loop decisioning, quality gates), measurement frameworks, and secure handling of sensitive inputs/outputs across teams
Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale, with demonstrated ability to advise senior leaders on safe adoption, portfolio governance, and reuse-first strategies
Preferred qualifications, capabilities, and skills
Strong experience with cloud-native architecture, event-driven architecture, test-driven development
Domain-level expertise in building continuous compliance systems at scale in financial services
Expert-level understanding and experience with regulatory and industry standards relating to technology controls in financial services
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Sprachkenntnisse
- English
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