Lead Software Engineer EQ -GCT-MANAGEMENT UK

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

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