At a Glance
- Tasks: Design and deliver innovative tech solutions in financial services with a talented team.
- Company: Join JPMorganChase, a leader in financial technology with a focus on collaboration.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace that values your unique contributions.
- Why this job: Make a real impact on critical financial workflows while advancing your software engineering career.
- Qualifications: Strong software engineering skills in Python, Java, and experience in agile environments.
The predicted salary is between 80000 - 100000 £ per year.
Join us and elevate your software engineering career. You'll design market-leading technology products that drive innovation in financial services. At JPMorganChase, you'll collaborate with talented teams, grow your skills, and make a real impact. We value your expertise and offer a dynamic environment where your ideas drive progress. Be part of a team that supports your growth and celebrates your success.
As a Lead Software Engineer in the Markets Technology team, you will design and deliver secure, stable, and scalable technology solutions that support our business objectives. You will work within an agile team, collaborating across functions to create trusted products. You will help shape the architecture and development of complex applications, ensuring high standards and continuous improvement. Your contributions will directly impact our clients and the success of our business.
Job Responsibilities
- Own production outcomes for critical Equity Derivatives workflows, including monitoring, incident triage, stakeholder communication, mitigation, and root cause follow-through.
- Execute software solutions through design, development, testing, release, and technical troubleshooting.
- Create secure, high-quality production code and maintain services and integrations with critical systems.
- Produce architecture and design artifacts for complex applications, ensuring alignment with design constraints and operational requirements.
- Collaborate with front office, operations, and technology teams to gather requirements, define acceptance criteria, and align on product specifications.
- Drive user acceptance testing (UAT) planning and execution for changes impacting pricing, booking, and risk, including test strategy, defect triage, evidence collection, and sign-offs.
- Drive team adoption of enterprise-authorized AI‑assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patterns.
- Apply knowledge of the Software Development Life Cycle toolchain, including AI‑assisted development and automation capabilities, to maximize automation value.
- Maintain strong release discipline, including regression assessment, rollback/fallback planning, post‑deployment verification, and observability improvements.
- Gather and synthesize data and telemetry to develop reporting and metrics that improve stability, quality, and delivery predictability.
- Identify hidden failure patterns in production and drive improvements in coding hygiene, system architecture, and operational readiness.
Required Qualifications, Capabilities, and Skills
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
- Strong software engineering fundamentals with hands‑on experience across the software development lifecycle, including system design, development, testing, release, and production support.
- Proficiency in Python, Java, and JavaScript or TypeScript.
- Experience building and supporting production‑grade systems.
- Experience in large‑scale enterprise environments, developing, debugging, and maintaining code and data integrations using modern programming and database querying languages.
- Familiarity with engineering frameworks and tooling such as JUnit, Maven, Spring Boot, Spring Data JPA, Spring Batch, and Hibernate.
- Demonstrated experience leading effective use of approved AI‑assisted software development tools, 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, secure handling of inputs and outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
- Strong analytical thinking, structured problem solving, and debugging skills.
- Excellent communication and stakeholder management skills.
- Experience delivering in an Agile environment, managing multiple priorities and projects, and producing clear documentation.
Preferred Qualifications, Capabilities, and Skills
- Formal training or certification in software engineering concepts.
- React experience.
Equal Opportunity Employment
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.
