Technical Lead, Artificial Intelligence (2-yrs contract)

Job ID:  8463
Job Function:  Administration
Institution:  National University Health System

Overview

 Reporting to the GCTO-Solutions lead, you will propose and implement the technical priorities and standards for developing & managing technology solutions within NUHS(GCTO). The incumbent will also ensure the adequacy and effectiveness of the NUHS(GCTO) tech frameworks and stacks to ensure that we can deliver production ready solutions/services that can be implemented at scale within the NUHS cluster and potentially beyond.

 

Job Responsibilities

 

You will be responsible for the following:

  • Will lead and manage the solution development team/s. This includes coaching and mentoring team members that report to them.
  • They will need to ensure that foundational software development practises are established and maintained.
  • Will coordinate with relevant parties in other divisions(infra/services) to create and help manage CI/CD pipeline for Solutions.
  • Will support all ‘to production’ related activities for solutions.
  • Will spend at least 70% of their time on development related work (they will be developing). So, they will have to commit code as well as perform code reviews for their team members.
  • To perform incident mgmt. and root cause analysis for production errors/bugs when required.
  • To work with Infra/Services in vulnerability assessment and risk management.
  • To incorporate product/service measures tracking user experience and KPIs.

 

Requirements

 

  • An Honors in a Bachelor of Science from a recognisable university (Computer Science or Field with a strong science/technical background e.g. Math, Physics or Engineering specialities).
  • Minimum of 9 years of experience working in tech delivery (SWE)
  • At least 4 years of working experience with DevOps team/s working with AWS/Azure/Alibaba/Google Cloud.
  • At least 2 years of working experience with on prem teams.
  • Have at least 2 years of experience working with Docker, Jenkins and Kubernetes.
  • A full stack engineer with at least 4 years of experience in Python, Java and other scripting languages. Should have at least 2 years of experience with front end; Reach, Angular. Mobile experience is a welcome bonus.
  • Must have experience with Data Visualisation tools e.g. Grafana.
  • Have experience with executing working in both Waterfall (Traditional project management) as well as Agile (Scrum, Kanban).
  • Have experience with event driven/messaging systems/event brokers: Kafka, RabbitMQ
  • Experience working with LLMs technologies.
  • Good written and verbal English; will be required for effective communications with not just the technical teams, but also with stakeholders.

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