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Lead Software Engineer - GLCM Postings at WallStreetQuan… · BOURNEMOU…
ExperiencedOn-siteFull-timeBOURNEMOUTH, DORSET, United Kingdom
Job Description
Lead Software Engineer - GLCM Postings
Location: BOURNEMOUTH, DORSET, United Kingdom
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank, Payments technology team; 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.
As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job 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 within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Required qualifications, capabilities, and skills
- Formal training or certification on 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 (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 engineers on safe, compliant adoption within delivery practices
Preferred qualifications, capabilities, and skills
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- Proven experience in senior leadership or engineering management roles
- Hands-on expertise with cloud platforms (AWS, Azure, GCP), CI/CD pipelines, and DevOps practices
- UI development experience with modern frameworks such as React, Angular, or similar
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.