Lead Software Engineer - Cloud-Native Backend & AI-Driven

JPMorgan Chase & Co.

Bournemouth

On-site

GBP 110,000 - 160,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. in Bournemouth is seeking a Lead Software Engineer to drive architecture and delivery of mission-critical services.

You will mentor engineers, shape technical strategy, and develop backend systems using Java, Kubernetes, and MongoDB, with a focus on reliability, scalability, and secure design. This role emphasizes AI-assisted development and enterprise-grade APIs in a multi-region setup, with strong leadership in cloud platforms (AWS/Azure/GCP) and API design.

Qualifications

Formal training or certification in Software Engineering concepts and applied experience.
Extensive experience in Java and object-oriented programming.
Proven leadership in Kubernetes and cloud-native application development.
Deep expertise in MongoDB, including change streams and schema design.
Strong background in RESTful and gRPC API design and implementation.
Demonstrated experience with API best practices and service registry concepts.
Track record of designing highly resilient, share-nothing, multi-region architectures.
Ability to architect and promote custom frameworks and reusable components.
Experience leading Agile, self-managing teams.
Demonstrated experience leading effective use of approved AI-assisted software development tools with the ability to set team expectations for validating AI outputs.

Responsibilities

Own the technical strategy and architecture for mission-critical applications, ensuring alignment with business goals and industry best practices.
Lead and mentor a team of software engineers, providing guidance, support, and professional development opportunities.
Drive the design and implementation of high-performance backend services using Java and cloud-native technologies.
Champion the development of highly resilient, share-nothing, multi-region architectures to achieve fault tolerance, high availability, and disaster recovery.
Drive the adoption and optimization of MongoDB (including change streams), Kubernetes, and other modern platforms.
Set and enforce standards for API design and development (REST/gRPC), including best practices for versioning, documentation, and error handling to ensure robust, secure, and scalable interfaces.
Guide the integration and management of service registries for dynamic service discovery and orchestration in micro services environments.
Promote the creation of custom frameworks and reusable components to accelerate development and maintain consistency.
Manage project delivery, ensuring timelines, quality, and stakeholder satisfaction while identifying and mitigating technical risks.
Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing validation standards and promoting reuse of patterns across the team.
Applies knowledge of tools within the SDLC toolchain to improve value realized by automation.