Forward Deployement Engineer

Role Summary

We are seeking a customer-focused Cloud, Data & AI Consultant with strong expertise in Google Cloud Platform (Google Cloud Platform), cloud infrastructure, modern data platforms, AI/ML, and application modernization.

The candidate will serve as a trusted advisor, helping customers design, implement, and optimize scalable cloud-native solutions while enabling engineering teams through technical leadership and best practices.

Key Responsibilities

• Architect and implement cloud solutions on Google Cloud Platform (Google Cloud Platform).
• Design scalable infrastructure leveraging Kubernetes (GKE), networking, load balancers, API gateways, and security services.
• Build modern data platforms using Lakehouse architecture, BigQuery, Delta Lake, Iceberg, and Spark/PySpark.
• Develop real-time data solutions using Apache Kafka, CDC, Debezium, and event-driven architectures.
• Design and deploy AI/ML and Generative AI solutions using Vertex AI and modern MLOps practices.
• Design and develop cloud-native applications using Java, Python, React, Spring Boot, and Microservices.
• Create CI/CD pipelines, Infrastructure as Code (Terraform), and platform automation.
• Build analytics and reporting solutions using Tableau, Coginiti, Strategy and other BI tools.
• Lead customer workshops, architecture reviews, and cloud modernization initiatives.
• Create reusable reference architectures, accelerators, and technical guidance for field engineering teams.

Required Skills

• Google Cloud Platform Cloud Architecture & Infrastructure
• Kubernetes (GKE), Networking, Load Balancers
• API Management & API Gateways (Apigee, Kong, etc.)
• Apache Kafka & CDC Technologies
• Lakehouse & Data Platform Architecture
• Apache Spark / PySpark
• AI/ML, Generative AI, Vertex AI, MLOps
• Java, Python, React
• Terraform, CI/CD, DevOps
• BigQuery and Enterprise Data Analytics
• BI Tools: Looker, Power BI, Tableau

Preferred Qualifications

• 7+ years of cloud consulting, architecture, or engineering experience.
• Google Cloud Platform Professional Cloud Architect, Data Engineer, or ML Engineer certifications.
• Experience leading enterprise cloud, data, and AI transformation programs.
• Strong communication, stakeholder management, and customer advisory skills.

Ideal Candidate

A hands-on consultant with expertise across Google Cloud Platform, Kafka, API Gateways, Lakehouse, BI, AI/ML, Java, Python, React, and Spark, capable of driving enterprise-scale cloud, data, and AI modernization initiatives from strategy through implementation.