Job Title: FDE (Forward Deployment Engineer)

Location: 100% Remote
Job Type: Contract – W2
Experience: 7+ Years
Primary Skill: Cloud, Data & AI Consultant – Google Cloud Platform

Job Summary

We are seeking a highly skilled and customer-focused Forward Deployment Engineer (FDE) / 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 ideal candidate will work closely with customers and engineering teams to design, implement, and optimize scalable cloud-native solutions. This role requires a hands-on technical consultant who can lead architecture discussions, customer workshops, modernization initiatives, and implementation activities.

Key Responsibilities

• Architect, design, and implement scalable cloud solutions on Google Cloud Platform (Google Cloud Platform).

• Design cloud infrastructure using Kubernetes/GKE, networking, load balancers, API gateways, and security services.

• Build modern data platforms using Lakehouse architecture, BigQuery, Delta Lake, Iceberg, and Apache Spark/PySpark.

• Develop real-time data pipelines and event-driven solutions using Apache Kafka, CDC, and Debezium.

• Design and deploy AI/ML and Generative AI solutions using Vertex AI and modern MLOps practices.

• Develop cloud-native applications using Java, Python, React, Spring Boot, and Microservices.

• Build and maintain CI/CD pipelines, Infrastructure as Code (Terraform), and DevOps automation.

• Develop analytics and reporting solutions using Looker, Power BI, Tableau, and other BI platforms.

• Lead customer workshops, technical discovery sessions, architecture reviews, and cloud modernization initiatives.

• Partner with engineering teams to establish technical best practices and reusable solutions.

• Create reference architectures, technical accelerators, implementation patterns, and documentation.

• Provide technical guidance throughout the solution lifecycle, from architecture and design through implementation and optimization.

Required Skills

• Strong Google Cloud Platform Cloud Architecture & Infrastructure experience

• Kubernetes / GKE

• Cloud networking and load balancing

• API Management / API Gateways – Apigee, Kong, or similar

• Apache Kafka and CDC technologies

• Lakehouse and modern data platform architecture

• Apache Spark / PySpark

• AI/ML, Generative AI, Vertex AI, and MLOps

• Java and Python

• React and cloud-native application development

• Spring Boot and Microservices

• Terraform / Infrastructure as Code

• CI/CD and DevOps

• BigQuery

• Enterprise data analytics

• BI tools such as Looker, Power BI, and Tableau

Preferred Qualifications

• 7+ years of experience in cloud consulting, architecture, software engineering, or related technical roles.

• Google Cloud Platform Professional Cloud Architect, Professional Data Engineer, or Professional Machine Learning Engineer certification.

• Experience leading enterprise-scale cloud, data, and AI transformation programs.

• Strong customer-facing and consulting experience.

• Excellent communication, presentation, stakeholder management, and problem-solving skills.

• Ability to work effectively with both technical and business stakeholders.

Ideal Candidate

The ideal candidate is a hands-on technical consultant with broad expertise across Google Cloud Platform, Kubernetes, Kafka, API Gateways, Lakehouse/Data Platforms, BigQuery, AI/ML, GenAI, Java, Python, React, and Spark.

The candidate should be comfortable working directly with customers, leading technical discussions, designing architectures, and driving enterprise-scale cloud, data, and AI modernization initiatives from strategy through implementation.