Senior Lead Scala​/Java Software Engineer - CDAO Data Platforms

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan

Chase within the Data Platforms team in the Chief Data & Analytics Office, you are 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Your deep knowledge of Scala, functional programming and agentic techniques will help our team meet the requirements of our diverse user base. Your work will be intellectually challenging ranging from meta-programming, domain specific languages and interpreter design to delivery of services and user interfaces all via public cloud.
Job responsibilities

Leads the engineering of cutting-edge solutions in the areas of metadata, meta-modelling and distributed systems.

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors

Develops secure and high-quality production code, and reviews and debugs code written by others

Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.

Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation ves decisions that influence the product design, application functionality, and technical operations and processes

Serves as a function-wide subject matter expert in one or more areas of focus

Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and advanced applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability

Advanced and applied experience in Scala and Java Experience working with asynchronous runtimes like Cats Effect Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.

Ability to tackle design and functionality problems independently with little to no oversight

Practical cloud native experience

Preferred qualifications, capabilities, and skills
Meta-programming through libraries such as shapeless or Magnolia

Domain Specific Language design and interpretation

Knowledeg of domain driven design

Advanced knowledge of SQL/No-SQL databases
J.P. Morgan is a global leader in financial services,…