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Senior Manager

Date Posted: Sep 5, 2018

Location: One Harbourfront, HK, HK, 0

Company: MetLife

Responsibilities:

  • Support business-technology transformation and innovation ideas by adopting leading-edge technologies in the industry, evaluating emerging software technologies, and positioning their use in the enterprise.
  • Adoption of techniques to support Lean Agile and DevOps principles including: Continuous Integration / Continuous Deployment, Hybrid Cloud Deployment Architectures, Automated Provisioning / Deployment / Testing Frameworks, Application Monitoring and Performance Validation.   Take responsibility on mentoring and teaching existing team members
  • Generate insights to drive continuous improvement on digital processes, deliver seamless solutions, drive sales , operation efficiency and customer experience
  • Work with Global/Regional team on the design of digital solutions, comply with Architecture review and manage Architecture Issues to closure
  • Manage project risks & escalate project issues to Supervisor/Head of IT & Functional Business Heads
  • Manage other projects or assignments as directed by Supervisor/Head of IT

 

Requirements:

  • Bachelor’s degree or equivalent preferable.
  • 10+ years of experience delivering enterprise software at scale, with minimum 7 years’ experience in digital area with 4 years in supervisory role
  • Solid understanding and hands on experience with implementation of DevOps, Agile methodologies and techniques.  Experience with Agile project delivery frameworks and participating in Scrum ceremonies across a multi-disciplinary, matrixed environment
  • Demonstrates in-depth knowledge of a broad range of hardware and software products.
  • Solid experience on
    • Enterprise Full Stack development experience, CI/CD
    • Application containerization (Docker and Kubernetes)
    • Service Oriented Architecture
  • Familiar with different UI/frontend solutions and experience of micro-service and OpenAPI development is a plus
  • Familiarity with modern data science concepts (big data, AI, ML, IoT, deep learning)
  • Deep understanding of data design, data movement, data modeling, and data tiering
  • Familiarity with cloud infrastructure models
  • Insurance business process background and knowledge is an advantage
  • Strong analytical, interpersonal, problem solving and presentation skills
  • Good command of English, Cantonese and Mandarin