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