job description
Join Master Concept Technology as a Technical Solutions Engineer specializing in Google Cloud and Gemini AI, and work remotely from the vibrant digital hubs of Bali. This is a unique opportunity to bridge cutting-edge cloud solutions with AI innovation while enjoying the island’s dynamic work-life balance.
In this role, you’ll drive the adoption of Google Cloud Platform (GCP) and AI-powered solutions by collaborating with clients, designing scalable architectures, and delivering technical expertise across the entire project lifecycle—from pre-sales consultations to implementation and ongoing support. Your work will empower businesses to leverage cloud-native technologies, machine learning, and generative AI to solve complex challenges.
Ideal for professionals passionate about cloud computing, AI, and client-facing technical roles, this position offers competitive compensation, exposure to high-impact projects, and the flexibility to work from Bali’s most sought-after locations.
Responsibility
- Provide technical pre-sales support by designing and presenting Google Cloud and AI solutions tailored to client needs.
- Collaborate with cross-functional teams to implement, deploy, and optimize GCP architectures, including compute, storage, networking, and security.
- Develop and demonstrate proof-of-concepts (PoCs) for Gemini AI and other Google Cloud AI/ML services.
- Deliver technical training and workshops to clients and internal stakeholders on GCP best practices.
- Troubleshoot and resolve complex technical issues related to cloud infrastructure, APIs, and AI integrations.
- Stay ahead of emerging trends in cloud computing, AI, and DevOps to recommend innovative solutions.
- Document technical specifications, architectures, and client-facing deliverables with clarity and precision.
- Act as a trusted advisor to clients, ensuring smooth adoption and maximizing ROI on Google Cloud investments.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
- 3+ years of experience in cloud computing, with a focus on Google Cloud Platform (GCP) or multi-cloud environments.
- Hands-on experience with AI/ML services (e.g., Vertex AI, Gemini, TensorFlow, or similar) and data analytics tools.
- Certifications in Google Cloud (e.g., Professional Cloud Architect, Data Engineer, or AI Engineer) are a strong plus.
- Proven ability to design and deploy scalable, secure, and cost-effective cloud solutions.
- Excellent communication and presentation skills, with the ability to explain technical concepts to non-technical stakeholders.
- Experience in pre-sales, consulting, or customer-facing roles is highly desirable.
- Familiarity with Infrastructure as Code (IaC) (Terraform, Deployment Manager) and CI/CD pipelines.