job description
Join Google Cloud as a Forward Deployed Engineer and be at the forefront of the AI revolution, transforming cutting-edge technology into scalable, production-grade solutions for enterprise clients. In this high-impact role, youâll bridge the gap between Googleâs most advanced cloud innovations and real-world business challenges, working directly with customers in Bali, Indonesia to design, deploy, and optimize AI-driven systems.
As part of the Delta Consulting team, youâll collaborate with cross-functional experts to solve complex technical problems, ensuring seamless integration of Google Cloudâs AI/ML, data analytics, and infrastructure solutions. Your work will empower organizations to leverage generative AI, machine learning, and cloud-native architectures to drive digital transformation.
This is a unique opportunity to shape the future of cloud computing while enjoying the dynamic work-life balance of Baliâs vibrant tech hubs. Google offers world-class benefits, including health coverage, professional development, and a culture of innovation.
Responsibility
- Technical Leadership: Lead end-to-end implementation of Google Cloud solutions, from architecture design to deployment, with a focus on AI/ML and data-intensive workloads.
- Customer Collaboration: Partner with enterprise clients to understand business needs and translate them into technical requirements for scalable cloud solutions.
- AI/ML Integration: Develop and optimize AI models, pipelines, and infrastructure using Google Cloudâs Vertex AI, TensorFlow, and BigQuery.
- Performance Optimization: Monitor, troubleshoot, and enhance cloud systems to ensure high availability, security, and cost-efficiency.
- Innovation & Prototyping: Build proof-of-concepts (PoCs) and prototypes to demonstrate the value of Google Cloud technologies to stakeholders.
- Knowledge Sharing: Mentor clients and internal teams on best practices for cloud adoption, DevOps, and AI-driven automation.
- Cross-Functional Coordination: Work with Googleâs engineering, sales, and support teams to deliver cohesive solutions and drive customer success.
- Documentation & Training: Create technical documentation, tutorials, and training materials to empower clients with self-service capabilities.
Qualifications
- Bachelorâs or Masterâs degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
- 5+ years of experience in cloud computing, software engineering, or data science, with a focus on AI/ML, distributed systems, or infrastructure.
- Hands-on expertise with Google Cloud Platform (GCP), including Compute Engine, Kubernetes (GKE), BigQuery, and Vertex AI.
- Proficiency in programming languages such as Python, Java, or Go, and experience with data pipelines (e.g., Apache Beam, Dataflow).
- Strong problem-solving skills with the ability to debug complex systems and optimize performance at scale.
- Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code (e.g., Terraform, Ansible).
- Excellent communication skills to articulate technical concepts to non-technical stakeholders and drive alignment.
- Certifications in Google Cloud (e.g., Professional Cloud Architect, Data Engineer) are a plus.