
Senior Full Stack Developer
Posted Aug 8

Posted Aug 8
This is a fully remote position, open to applicants in Brazil.
• Facilitate technical presales discussions (discovery/qualification) with mid-market and enterprise clients
• Convert intricate business requirements into cloud architecture proposals (GCP)
• Create and design contemporary solutions utilizing GCP's data and AI ecosystem
• Guarantee scalability, security, and cost-efficiency
• Outline technical project scope and assess delivery efforts
• Generate cloud consumption cost estimates (TCO and ROI) using the official Google Cloud calculator
• Develop quick prototypes, Proofs of Concept (PoCs), and AI/ML technical demonstrations
• Validate solutions alongside technical and business stakeholders
• Serve as the technical component of the commercial team to secure large contracts
• Address RFPs/RFIs
• Represent IEBT in Google Cloud partner forums
• Align offerings with Google Cloud programs and incentives
• Experience or prior knowledge in client-facing positions such as Presales, Solutions Architect, Customer Engineer, or Cloud Technical Consultant
• Extensive hands-on experience with Google Cloud's data suite, particularly BigQuery and Vertex AI
• Familiarity with Generative AI services, Agent Builder, and AutoML
• Proficiency in Python for data manipulation and utilizing AI/ML SDKs/APIs on GCP
• Practical knowledge of LLMs, prompt engineering, RAG (Grounded Generation) techniques, and vector databases native to or integrated with GCP
• Expertise in designing real-time or batch data pipelines
• Understanding of messaging bus systems, especially Pub/Sub
• Basic grasp of MLOps, including Vertex AI Pipelines
• Fundamental knowledge of FinOps for cloud cost management and optimization
• Basic understanding of Terraform for provisioning AI/Data resources on GCP
• Google Cloud Professional Machine Learning Engineer — preferred
• Google Cloud Professional Data Engineer — preferred
• Google Cloud Professional Cloud Architect — an advantage
• Experience in generative AI projects related to corporate process automation, intelligent search, and customer service — an advantage
• Previous experience within the official Google Cloud partner ecosystem — an advantage
• Opportunity to work with cutting-edge technology in cloud computing
• Collaborative and innovative work environment
• Professional growth and development opportunities
• Competitive compensation and benefits package
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