Head of Application Development Practice - Professional Services

• Lead the APAC professional services application modernisation practice through strategy and execution, driving legacy workload transformation across JAPAC and other regions. Drive regional practice strategy, presales agreement qualification, and operational metrics (utilization, revenue, capacity forecasting).
• Guide enterprise customers through application refactoring, transitioning monolithic architectures to microservices, APIs, and serverless models. Architect cloud-native application architectures, enabling scalability, resilience, and continuous delivery across Google Cloud infrastructure.
• Advise technical leaders and Engineering teams on Containerisation strategies, Kubernetes deployment, AI agent architecture, and adopting cloud-native application patterns.
• Establish best practices and frameworks for modernising legacy workloads, API management, DevOps integration, and cloud-native application lifecycle management.
• Manage, mentor, and scale a high-performing, cross-regional team of technical consultants across JAPAC.

Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 7 years of experience leading application modernization, refactoring legacy workloads, and architecting cloud-native solutions.
• 3 years of experience in people management and leading cross-functional teams.
• Experience designing microservices architectures, containerized deployments (e.g., Kubernetes), serverless models, and API-driven application frameworks.
• Experience designing and architecting agentic AI systems and workflows.

Preferred qualifications:

• Experience refactoring complex monolithic systems into decoupled microservices, APIs, and event-driven architectures on Google Cloud.
• Experience implementing modern CI/CD pipelines, DevOps practices, and application lifecycle automation for continuous delivery.
• Experience with modern cloud-native observability, service mesh, API gateway management, and cloud security patterns.
• Ability to drive end-to-end cloud-native transformations for enterprise clients, from legacy workload assessment to implementation.
• Ability to advise C-level and technical leadership on strategic technology roadmaps and cloud-native transformation governance.
• Ability to lead cross-functional collaboration and drive strategic alignment across specialized practices, such as Data Analytics and Artificial Intelligence.

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

The Google Cloud Platform team helps customers transform and evolve their business through application modernisation and cloud-native architecture adoption.

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 7 years of experience leading application modernization, refactoring legacy workloads, and architecting cloud-native solutions.
• 3 years of experience in people management and leading cross-functional teams.
• Experience designing microservices architectures, containerized deployments (e.g., Kubernetes), serverless models, and API-driven application frameworks.
• Experience designing and architecting agentic AI systems and workflows.