Job Description

Job Purpose:

To design and develop the Google Cloud-based foundation while orchestrating the technical vision across the engineering teams

Key Activities

Design and implement a shared, scalable cloud foundation on GCP that hosts all the future Saa S products, enabling engineering teams to launch faster and avoid reinventing the wheel. Mentor and guide the Digital Architects across different squads. Align their technical decisions to ensure standard patterns, tools, and best practices are adopted, maintaining technical coherence and preventing fragmented infrastructure. Actively dive into the code to build initial prototypes for complex features and resolve severe technical blockers. Lead by example to teach development teams advanced implementation techniques. Partner closely with the Senior Cloud Security Engineer and Cloud Engineers to define robust network topologies and embed “secure-by-design” principles into the core Saa S architecture, ensuring strict adherence to GCP best practices from day one.

Qualifications & Experience

Bachelor’s Degree in Computer Science, Engineering, or equivalent deep, verifiable hands-on engineering experience. Master’s Degree in Software Engineering or Cloud Computing is preferable. Professional Google Cloud Architect (highly preferred). Other respected technical certifications (e.g., Professional Google Cloud Developer) are a plus.8-10+ years in software engineering and architecture, with at least 4+ years designing and building complex, cloud-native Saa S applications. Deep expertise in Google Cloud Platform (GCP), microservices, serverless architectures, Kubernetes, multi-tenant Saa S design, cloud networking (VPCs, load balancing), and solid foundational knowledge of cloud cybersecurity. Proven experience coordinating technical initiative across multiple autonomous teams, actively mentoring other architects or senior developers, and owning the end-to-end architecture of a large-scale platform.

Skills And Competencies

Technical:Cloud Architecture (GCP: GKE, Cloud Run, Pub/Sub, Spanner, etc.) Saa S Application Development (Multi-tenancy, Microservices, API Design) Hands-on Coding/Prototyping (Java, Python, or Node.js) Cloud Networking & Security Fundamentals Infrastructure as Code (Terraform) Behavioural: Servant Leadership (guiding without dictating), Hands-on Pragmatism (willing to dive into the mud), Consensus-Building, and excellent Technical Communication. Tools/Systems: Architectural modeling tools (e.g., draw.io), GCP Console/CLI, Terraform, Modern CI/CD Systems (e.g., Git Hub Actions, Google Cloud Build), Git Hub.