VP Middleware Engineering — Cloud-Native, AI-Driven, Hybrid

GIC; Singapore; Hybrid; SGD 320,000 - 420,000; Full time

Job summary

GIC is seeking a Senior Database Engineer/VP-level Middleware leader to design, run, and modernise the middleware backbone across API gateways, messaging, and IBM middleware. You will drive cloud migrations, automation, and security for global, mission-critical systems.

You will lead a global team, defining strategy, architecture, and delivery for high-availability platforms, while evolving legacy systems to cloud-native, open-source solutions with AI/agent-powered improvements.

Qualifications

• 15+ years in information technology, with 10+ years in middleware/integration or platform engineering.
• Experience leading engineering teams or platforms at enterprise scale (3+ years).
• Hands-on expertise in IBM middleware: WebSphere Application Server, Liberty, and IBM MQ (clustering, HA/DR, security).
• Proficient in Kong (4+ years) or equivalent API gateway.

Responsibilities

• Define multi-year strategy and roadmap for middleware, web services, and SWIFT integration.
• Own end-to-end architecture for API and messaging platforms; establish reference architectures.
• Lead cloud-native patterns and automation, GitOps, and IaC with Terraform, Ansible, and CI/CD.
• Build and lead a global team, embed DevOps/Agile practices, and drive security and compliance.

Skills

IBM middleware

WebSphere

Kong API gateway

IBM MQ

Terraform

GitOps

CI/CD

Kubernetes

Linux/Unix

Python

Bash

wsadmin

AWS

Security standards

Education

Bachelor’s or Master’s in Computer Science/Information Technology

Tools

Kong

IBM MQ

WebSphere

Job description

GIC is seeking a Senior Database Engineer/VP-level Middleware leader to design, run, and modernise the middleware backbone across API gateways, messaging, and IBM middleware. You will drive cloud migrations, automation, and security for global, mission-critical systems.

You will lead a global team, defining strategy, architecture, and delivery for high-availability platforms, while evolving legacy systems to cloud-native, open-source solutions with AI/agent-powered improvements.