Lead design, develop, and troubleshoot scalable, secure software and data platforms for real-time trade processing. Drive adoption of Java/Spring, cloud (AWS), streaming (Kafka), data pipelines (Python, Databricks, Spark), web front-ends (React/Angular), CI/CD, and AI/ML to improve automation, stability, and analytics. Mentor teams, set technical direction, and ensure data quality, security, lineage, and governance.
Job Responsibilities
- Designs, develops, and troubleshoots creative software solutions, thinking beyond conventional approaches to solve complex technical problems
- Leads the adoption and integration of cutting-edge technologies including Java, Spring, Springboot, React, and Kafka
- Develops secure, high-quality production code, and reviews and debugs code written by others
- Defines and drives the technology roadmap, focusing on next-generation data, analytics, and automation platforms
- Champions the use of AI, machine learning, and advanced analytics to deliver real-time trade processing applications
- Identifies opportunities to eliminate or automate recurring issues to improve overall operational stability of software applications and systems
- Designs and implements data pipelines, analytics workflows, and reporting solutions using Python, Databricks, and Spark
- Develops and maintains web-based applications and dashboards using modern web stacks (React, Angular, etc.)
- Builds and optimises data models, ETL/ELT processes, and integration frameworks for large-scale financial data
- Ensures data quality, security, lineage, and governance across all team platforms
Required Qualifications, Capabilities, and Skills
- Formal training or certification in software engineering concepts with 7+ years' applied experience
- Hands-on practical experience in system design, application development, testing, and maintaining operational stability
- Hands-on expertise in Java, Spring, Springboot, Maven, Kafka, and modern web technologies such as React
- Strong knowledge of cloud platforms such as AWS, Lambda, ECS, EC2, and Terraform
- Knowledge of AMPS, MQ, Cucumber Integration Tests, JUnit, Mockito, and Testcontainers is desirable
- Proficiency in automation and continuous delivery, including CI/CD tools such as GitHub Actions and AWS CodePipeline
- Advanced proficiency in designing scalable, secure, and resilient systems for large-scale data environments
- Demonstrated ability to lead engineering teams, set technical direction, and deliver complex projects
- Demonstrated experience in leading and implementing standard software engineering practices, such as Agile development, code reviews, automated testing, CI/CD pipelines, and documentation
- Proficient in using AI development tools as well as agentic workflows
Preferred Qualifications, Capabilities, and Skills
Proven experience in financial markets, Futures & Options, and Trade Execution/Clearing
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.
JPMorganChase London, England Office
25 Bank Street, Canary Wharf, London, United Kingdom, E14 5JP
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