Java Sr Lead Software Engineer - OMS/Sales - VP

JPMorganChase; Greater London; On-site; GBP 80,000 - 110,000; Full time

Job summary

JPMorgan Chase is seeking a Senior Lead Software Engineer to join its Global Sales OMS technology group in Greater London. You will be integral in enhancing and delivering market-leading technology products using your deep technical expertise. Responsibilities include developing secure code, guiding technical teams, and adopting AI-assisted engineering practices.

The ideal candidate will have strong Java skills, experience in cloud platforms like AWS, and the ability to independently tackle design challenges. Cultural fit in a diverse and inclusive environment is highly valued.

Qualifications

• Extensive experience in system design, application development, and operational stability.
• Strong expertise in high-volume, back-end technologies.
• Ability to independently solve complex design challenges with modern AI techniques.

Responsibilities

• Provide technical guidance to teams and contractors.
• Develop secure, high-quality production code.
• Drive adoption of AI‑assisted engineering practices.

Skills

Java

Springboot

AWS

Terraform

SQL

NoSQL

AI-assisted development

Education

Formal training or certification in software engineering

Job description

Job Description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top‑notch technology products.

As a Senior Lead Software Engineer at JPMorgan Chase within the Global Sales OMS technology group working in EMEA with a focus on our NAMR operations, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem‑solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job Responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high‑quality production code, and reviews and debugs code written by others
• 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, test 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.
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function‑wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and advanced applied experience in Java
• Hands‑on practical experience delivering system design, application development, testing, and operational stability
• Proficiency in back‑end technologies notably Java, Springboot, high‑performance Java, thread‑safety context, lockless approach and controlled object generation practices for high‑volume systems
• Demonstrated ability to independently solve design and functionality challenges with minimal supervision leveraging modern AI techniques.
• Experience working with cloud platforms such as AWS and Terraform based deliveries.
• Hands‑on experience designing and building scalable applications using SQL and NoSQL databases.
• 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.
• Ability to tackle design and functionality problems independently with little to no oversight

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.