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7-10 Years
SGD 10,000 - 12,000 per month
Early Applicant
  • Posted 6 days ago
  • Be among the first 10 applicants

Job Description

Key Responsibilities

  • Lead technology innovation and digital transformation solutions to deliver measurable business outcomes.
  • Design and implement cloud-native, microservices-based architectures that are scalable, resilient, and secure.
  • Champion AI adoption for automation, process optimization, and architecture modernization.
  • Conduct POCs, technical assessments, and feasibility studies to evaluate emerging technologies and solutions.
  • Partner with customer experience and marketing business to improve net promotor scores and generate upsell opportunities.
  • Build AI driven solutions and tools to improve distributors and partners sales experience.
  • Collaborate with product owners, business analysts, and engineering teams to translate requirements into technical blueprints.
  • Ensure compliance with security, data governance, and regulatory standards.
  • Prepare and present solution architectures in governance local and Asia governance forums.
  • Act as an internal consultant to craft business transformation proposals and lead implementation through interim architectures.
  • Evaluate vendor solutions for architecture risk, security, resiliency, and availability.


Required Skills & Qualifications

  • Proven experience as a Solution Architect with strong exposure to digital transformation.
  • Solid understanding of Machine Learning and Generative AI technologies.
  • Expertise in cloud-native microservices (Spring Boot, Docker, Kubernetes) and cloud platforms (Azure, AWS, OCI).
  • Strong knowledge of application security, architectural frameworks, and engineering best practices (Agile, DevOps, CI/CD).
  • Familiarity with architecture as a code design.
  • Excellent analytical, problem-solving, and communication skills with ability to influence stakeholders.
  • Ability to manage multiple priorities and deliver in a fast-paced environment.
  • Insurance domain knowledge is a plus.


Preferred Qualifications

  • Bachelor's or master's degree in computer science, Engineering, or related field.
  • Experience in large-scale digital transformation projects within financial services or insurance.
  • Certifications in cloud platforms, or AI technologies is a plus.

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