Senior Lead Software Engineer

JP Morgan Chase; Greater London; On-site; GBP 62,000 - 102,000; Full time

Job summary

JPMorganChase is seeking an experienced software engineer to advance secure, scalable, cloud-based systems within our Data Platforms team. You will contribute to full-stack development, meta-programming, and interpreter design in an agile environment.

We value formal software engineering training, strong Java/TypeScript skills, and experience with AI-assisted development, secure coding, and coaching others on compliant AI practices. Domain knowledge in data-oriented architectures is a plus.

Qualifications

• Formal training or certification in software engineering concepts, plus advanced applied experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Advanced Java and TypeScript experience.
• Experience with enterprise-authorized AI-assisted software development tools and validating AI outputs.
• Knowledge of responsible AI use in engineering workflows, data sensitivity, secure handling, resiliency and security.
• Experience coaching senior engineers on compliant AI usage patterns and controls.
• Ability to tackle design and functionality problems independently with little oversight.
• Practical cloud-native experience.
• Preferred: React UI/UX experience.
• Preferred: knowledge of Scala.
• Preferred: domain-specific language design and interpretation.
• Preferred: domain-driven design knowledge.
• Preferred: SQL and NoSQL databases knowledge.

Responsibilities

• We lead the engineering of metadata, metamodeling, and distributed systems.
• We provide technical guidance to business teams, contractors, and vendors.
• We develop secure, high-quality production code and peer-review others' code.
• We drive adoption and governance of AI-assisted engineering practices across teams.
• We establish validation standards including secure coding, peer review, testing, and reuse of proven automation.
• We use SDLC/TLM tools to improve value and automation at scale.
• We influence product design, functionality, and technical operations.
• We serve as SME in focus areas and share frameworks and practices across the engineering organization.
• We contribute to the engineering community advocating firmwide SDLC tools.

Skills

Java

TypeScript

AI-assisted tools

Cloud-native

Enterprise security

Coaching others

Independent problem solving

React

Scala

SQL

NoSQL

Domain-driven design

Education

Formal training/certification in software engineering concepts

Tools

No specific tools listed

Job description

Salary: £62,000 - 102,000 per year

Requirements

• Formal training or certification in software engineering concepts, plus advanced applied experience
• Hands-on experience delivering system design, application development, testing, and operational stability
• Advanced Java and TypeScript experience
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools, with the ability to set expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations
• Experience coaching senior engineers or leads on compliant AI usage patterns and controls
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical cloud-native experience
• Preferred: experience building UI and UX solutions with React
• Preferred: knowledge of Scala
• Preferred: experience with domain-specific language design and interpretation
• Preferred: knowledge of domain-driven design
• Preferred: knowledge of SQL and NoSQL databases

Responsibilities

• We lead the engineering of cutting-edge solutions in metadata, metamodeling, and distributed systems
• We provide technical guidance and direction to business teams, contractors, and vendors
• We develop secure, high-quality production code and review and debug code written by others
• We drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes
• We establish measurable validation standards, including secure coding, peer review, automated testing, and reuse of proven patterns and automation within the SDLC/TLM toolchain
• We apply knowledge of Software Development Life Cycle tools, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale
• We drive decisions that influence product design, application functionality, and technical operations and processes
• We serve as a function-wide subject matter expert in one or more areas of focus
• We actively contribute to the engineering community as advocates of firmwide frameworks, tools, and practices of the Software Development Life Cycle

Technologies

• AI
• Cloud
• Support
• Java
• NoSQL
• React
• SQL
• Scala
• Security
• TypeScript
• UX UI Design
• DDD

More

We are JPMorganChase, a global leader in financial services and a first-class business serving clients with trusted, long-term partnerships. Our Commercial & Investment Bank operates across banking, markets, securities services, and payments in more than 100 countries. You will join our Data Platforms team within the Chief Data & Analytics Office as part of an agile environment focused on building secure, stable, scalable, and market-leading technology products. We value diversity and inclusion, support reasonable accommodations, and offer the opportunity to work on intellectually challenging, cloud-based engineering problems involving full-stack programming, agentic techniques, meta-programming, domain-specific languages, and interpreter design.

last updated 36 week of 2026