SoHo Dragon

DevOps Engineer

• Design, build, and operate automated platforms for scalable delivery of MX platform
• Implement CI/CD pipelines to support continuous integration, testing, and deployment
• Ensure pipeline stability and reliability, minimizing build failures
• Automate environment provisioning, configuration, and upgrades
• Manage MX environments across development, testing, and production stages
• Implement and maintain monitoring, logging, and alerting systems
• Manage environment data lifecycle and support database operations

Director

• Oversee and manage the firm’s strategic IT service partners
• Serve as the primary internal escalation point for technology issues
• Advise the firm’s Technology Steering Committee on strategic technology investments
• Ensure compliance with applicable data protection regulations
• Build strong working relationships with firm leadership and staff

Director of Information Technology

Full-stack Engineer

• Build Android features (Kotlin, Jetpack Compose)
• Work with distributed messaging architecture
• Develop backend services using Node.js, TypeScript, Postgres
• Contribute to AI-driven features
• Use AI-assisted development tools
• Participate in code reviews and technical discussions

Part-Time Lead Engineer

Backend Engineer

• Handle the development of the platform for structured finance transactions initiated by Global Banking and Advisory (GLBA).
• Support the orchestration of IS & Digital strategies and the delivery and maintenance of GLBA IT projects.
• Develop and deliver new features, including design and architectural decisions.
• Perform testing, track quality-related metrics, and produce technical documentation.
• Demonstrate features to stakeholders and product owners to gain business understanding and gather feedback.
• Participate in Agile Scrum activities: Daily stand-ups, Backlog grooming, Sprint retrospectives, Demos.
• Contribute to the modernization and revamp of the platform: Improve CI/CD practices, Automate tasks.
• Take ownership of new projects and contribute to fixing and refactoring the existing codebase.
• Participate in the design, integration, and organization of transversal platforms and solutions.
• Provide visibility to management and deliver indicators to support decision-making.
• Actively participate in Agile ceremonies and daily team activities.

Senior Full Stack Programmer – Angular, .NET

Machine Learning Engineer

• Collaborate with software engineers and business stakeholders to translate requirements into AI/ML solutions
• Develop and deploy AI/ML solutions, and preprocess large datasets
• Monitor and maintain performance of AI/ML models
• Document AI/ML model development processes and results

Senior AI/ML Engineer

• Collaborate with software engineers, business stakeholders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions.
• Develop, implement, and deploy AI/ML solutions.
• Preprocess and analyze large datasets to identify patterns, trends, and insights.
• Evaluate, validate, and optimize AI/ML models to ensure their accuracy, efficiency, and generalizability.
• Deploy applications and AI/ML model into cloud environment such as AWS/Azure/GCP.
• Monitor and maintain the performance of AI/ML models in production environments, identifying opportunities for improvement and updating models as needed.
• Document AI/ML model development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement.