Lead Software Engineer – Cloud-Native Backend Architect

JPMorganChase

England

On-site

GBP 120,000 - 150,000

Full time

13 days ago

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Job summary

JPMorganChase, within the Commercial & Investment Bank, Payments technology team, is seeking a Lead Software Engineer to drive backend services in a secure, scalable environment. You will own architecture, mentor engineers, and guide multi-region designs to ensure high availability and resilience.

You will champion cloud-native solutions with MongoDB, Kubernetes, and REST/gRPC APIs, promoting reusable components and AI-assisted development practices across the team.

Qualifications

  • Formal training or certification in software engineering concepts

Responsibilities

  • Own the technical strategy and architecture for mission-critical applications
  • Lead and mentor a team of software engineers
  • Drive backend design with Java and cloud-native technologies
  • Promote multi-region, highly available architectures
  • Drive adoption of MongoDB, Kubernetes and other modern platforms
  • Set and enforce API design standards (REST/gRPC)
  • Guide service discovery and orchestration in microservices
  • Promote reusable components and frameworks to accelerate development
  • Manage project delivery with timelines and quality
  • Adopt AI-assisted engineering practices with validated outputs

Skills

Java
Leadership
Cloud-native design
RESTful API design
gRPC
AI-assisted development tools
Agile team leadership
Security and resiliency

Education

Bachelor's or Master's in Computer Science or related

Tools

Kubernetes
MongoDB
AWS/Azure/GCP
CI/CD
React/Angular

Job description

JPMorganChase, within the Commercial & Investment Bank, Payments technology team, is seeking a Lead Software Engineer to drive backend services in a secure, scalable environment. You will own architecture, mentor engineers, and guide multi-region designs to ensure high availability and resilience.

You will champion cloud-native solutions with MongoDB, Kubernetes, and REST/gRPC APIs, promoting reusable components and AI-assisted development practices across the team.

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