Kerja Sepenuh Masa SOLUTION ARCHITECT, Gaji tinggi SGD 10,000 di R SYSTEMS CONSULTING SERVICES LIMITED South (Singapore) - Maukerja

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.