Cloud-Native Senior Lead Engineer for FinTech Platform

JPMorgan Chase & Co.

Greater London

Hybrid

GBP 110,000 - 140,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. in London seeks a Senior Lead Software Engineer to help deliver a seamless digital banking experience. You will work in a distributed, diverse team, applying modern cloud-native approaches to banking products.

Responsibilities span end-to-end cloud-native microservices, domain modeling, secure coding, performance optimization, and incident management. You will mentor peers on quality, AI-assisted development, and responsible AI use, shaping scalable, reliable software used

Qualifications

  • Formal training or certification in software engineering concepts and applied experience.
  • Recent hands-on professional experience as a back-end software engineer.
  • Experience in coding in a recent version of the Java programming language.
  • Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.).
  • Excellent written and verbal communicationskills in English.
  • Experience with cloud technologies and distributed systems, RESTful APIs and web technologies.
  • Knowledge of messaging frameworks.
  • Seasoned with operating, supporting and the security of mission critical software applications.
  • Understanding with different kinds of data stores (including relational data stores).
  • Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions.
  • Manage stakeholders and effectively prioritize work across multiple work streams.
  • 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.

Responsibilities

  • Deliver end-to-end solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices.
  • Use domain modelling techniques to allow us to build best in class business products.
  • Structure software so that it is easy to understand, test and evolve.
  • Build solutions that avoid single points of failure, using scalable architectural patterns.
  • Develop secure code so that our customers and ourselves are protected from malicious actors.
  • Promptly investigate and fix issues and ensure they do not resurface in the future.
  • Make sure our releases happen with zero downtime for our end-users.
  • See that our data is written and read in a way that's optimized for our needs.
  • Keep an eye on performance, making sure we use the right approach to identify and solve problems.
  • Ensure our systems are reliable and easy to operate.
  • Keep us up to date by continuously updating our technologies and patterns.
  • Support the products you've built through their entire lifecycle, including in production and during incident management
  • 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, text 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 at scale

Skills

Java
Backend development
Cloud computing
RESTful APIs
Testing strategies
Effective communication

Education

Formal training or certification in software engineering

Tools

AWS
Microservices
CI/CD
AI-assisted development tools

Job description

JPMorgan Chase & Co. in London seeks a Senior Lead Software Engineer to help deliver a seamless digital banking experience. You will work in a distributed, diverse team, applying modern cloud-native approaches to banking products.

Responsibilities span end-to-end cloud-native microservices, domain modeling, secure coding, performance optimization, and incident management. You will mentor peers on quality, AI-assisted development, and responsible AI use, shaping scalable, reliable software used

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