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Urgent! Senior System Analyst Job Opening In Hong Kong, Hong Kong – Now Hiring HKT

Senior System Analyst



Job description

Highlights



  • Design and implement multiple sub-systems for an in-house developed AI-integrated platform across various business domains.




  • Oversee the development of secure, scalable, and AI-enhanced solutions using Python, NodeJS and React.




  • Leverage prompt engineering and vibe coding for innovative development practices.




  • Manage cross-functional teams and offshore team to deliver cutting-edge, AI-driven solutions while aligning with business goals and compliance standards.




  • Implement secure SDLC practices with AI, including threat modelling, secure coding, and vulnerability management, to ensure system integrity.




  • Conduct risk assessments for software projects and develop strategies to mitigate identified risks.




  • Take a hands-on approach to project delivery, providing technical guidance and contributing to solutions to meet project goals, including hands-on coding and review.


  • Your Role


  • Lead and work with offshore development team (2-3 per team) in developing and deploying AI-enhanced software solutions, ensuring high performance, reliability, and security.




  • Collaborate with stakeholders to define AI strategies and implement prompt engineering best practices for optimizing AI model outputs.




  • Foster a culture of innovation through vibe coding and other AI-assisted development methodologies.




  • Mentor and guide teams in adopting new AI technologies and secure development practices, ensuring alignment with organizational objectives.




  • Drive the adoption of Agile methodologies for AI-focused projects, ensuring iterative delivery and continuous improvement.




  • Ensure security is integrated throughout the SDLC, from requirements gathering to deployment and maintenance.




  • Perform risk assessments for software projects, identifying potential threats and implementing mitigation strategies.




  • Take an active, hands-on role in project delivery, balancing strategic oversight with technical contributions to overcome challenges and meet deadlines.


  • To Succeed in this Role


  • 5-7+ years of hands-on experience in system design and architecture, with a focus on AI integration and agentic solutions.




  • Proficiency in Python, NodeJS and React, with experience in building AI-driven applications, knowledge of Java Spring Boot, and Spring Cloud will also be considered




  • Expertise in prompt engineering to optimize AI model performance and ensure accurate, contextually relevant outputs.




  • Familiarity with AI tools and frameworks, such as Model Context Protocol (MCP), Agentic Frameworks, AI Safety Framework, to ensure responsible AI deployment would be an advantage.




  • Experience with vibe coding practices in both frontend and backend knowledge, utilizing AI assistants (e.g., RooCode, Cline, Cursor, WindSurf, GitHub Copilot) for rapid prototyping and development on full SDLC.




  • Strong understanding of cloud platforms (AWS, Azure, GCP) for scalable solution deployment.




  • Deep knowledge and hands-on SDLC processes, with a particular emphasis on integrating security throughout the lifecycle (DevSecOps).




  • Proven experience in conducting risk assessments for software projects and implementing risk mitigation strategies.




  • Ability to lead projects with a hands-on approach, balancing managerial responsibilities with technical contributions to ensure successful delivery.




  • Knowledge of security standards and best practices, such as OWASP, ISO 27001, or ISO 42001, and experience applying them in software development.




  • Team leadership skills to manage and mentor diverse team members in adopting new AI technologies and secure practices.




  • Strong communication skills to articulate technical concepts, AI strategies, and security requirements to both technical and non-technical stakeholders.




  • Passionate about leveraging AI to optimize operations and drive innovation across inhouse development platforms.




  • Proficient in Agile methodologies, with experience leading AI-focused projects iteratively.




  • Strong communication skills to convey AI strategies, technical designs, and business value effectively.




  • Committed to staying updated on AI advancements, including Model Context Protocol, Agentic Frameworks, safety frameworks, prompt engineering, and AI-assisted coding trends.




  • Able to perform hands-on technical work when needed, demonstrating a deep understanding of the technologies used.



  • Required Skill Profession

    Computer Occupations



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