Senior Cloud Engineer with GCP

EPAM Systems; Polska; Hybrid; PLN 180,000 - 280,000; Full time

Job summary

EPAM Systems Inc. seeks a Senior Cloud Engineer with GCP expertise to guide customers migrating data analytics and AI workloads to GDC-AG in the EMEA region. The role involves post-deployment guidance, building data pipelines, ML solutions, and IaC automation.

It is hybrid with travel to the Netherlands about once every two months. The candidate should have 3+ years in data engineering, GCP/GDC-AG proficiency, Kubernetes experience (GKE), and a Google Cloud certification, along with strong

Qualifications

• You have 3+ years of experience in data engineering roles.
• You have expertise in GDC Air-Gap.
• You are proficient in Google Cloud Platform with hands-on deployment across GCP and GDC-AG.
• You have a background in distributed/sovereign solutions and familiarity with Kubernetes (GKE).
• You know Fabric Fast Customization.
• You have skills in Infrastructure as Code (IaC) and Terraform.
• You are capable in automation and CI/CD pipelines.
• You understand Cloud Networking and Landing Zone setup.
• You have experience designing data pipelines, architectures, and ETL/ELT environments.
• You can build ML solutions and work with technical customers.
• You hold Google Cloud Platform Professional Certification.
• You have strong communication and stakeholder management skills.
• You are English proficient at an Upper-Intermediate level (B2) or higher.

Responsibilities

• Guide customers on ingesting, storing, processing, analyzing, exploring, and visualizing data on GDC air-gapped environments.
• Support customers in migrating data analytics and AI workloads to GDC-AG with a focus on post-deployment guidance.
• Explain key differences between GCP and GDC-AG to technical and business stakeholders.
• Deploy applications across both GCP and GDC-AG environments.
• Design and build data pipelines, data architectures, ETL/ELT processes, and reporting/analytic environments.
• Build and implement machine learning solutions tailored to customer needs.
• Set up Cloud Networking and Landing Zones for customer environments.
• Develop and maintain Infrastructure as Code and CI/CD automation pipelines.
• Collaborate closely with Google account teams, partners, and customers across EMEA.

Skills

GCP

GDC-AG

IaC

Terraform

CI/CD

Data pipelines

ML solutions

Kubernetes (GKE)

English (B2+)

Cloud Networking

Stakeholder mgmt

Communication

Tools

GCP

GDC-AG

Kubernetes (GKE)

Terraform

CI/CD tooling

Job description

We are looking for a Senior Cloud Engineer with GCP to help customers migrate data analytics and AI workloads to GDC Air-Gap (focused on post-deployment guidance) in EMEA. In this role, the engineer will guide customers on ingesting, storing, processing, analyzing, exploring, and visualizing data on GDC-AG, explain the differences between GCP and GDC-AG, and collaborate closely with Google account teams, partners, and customers. This is a hybrid role requiring travel to the Netherlands once or twice every two months.

Responsibilities

• Guide customers on ingesting, storing, processing, analyzing, exploring, and visualizing data on GDC air-gapped environments
• Support customers in migrating data analytics and AI workloads to GDC-AG with a focus on post-deployment guidance
• Explain key differences between GCP and GDC-AG to technical and business stakeholders
• Deploy applications across both GCP and GDC-AG environments
• Design and build data pipelines, data architectures, ETL/ELT processes, and reporting/analytic environments
• Build and implement machine learning solutions tailored to customer needs
• Set up Cloud Networking and Landing Zones for customer environments
• Develop and maintain Infrastructure as Code and CI/CD automation pipelines
• Collaborate closely with Google account teams, partners, and customers across EMEA Travel to the Netherlands once or twice every two months as part of this hybrid role

Requirements

• 3+ years of experience in data engineering roles
• Expertise in GDC Air-Gap
• Proficiency in Google Cloud Platform with hands-on experience deploying applications across GCP and GDC-AG
• Background in distributed/sovereign solutions and familiarity with Kubernetes (GKE)
• Knowledge of Fabric Fast Customization
• Skills in Infrastructure as Code (IaC) and Terraform
• Competency in automation and CI/CD pipelines
• Understanding of Cloud Networking and Landing Zone setup
• Experience designing data pipelines, data architectures, and ETL/ELT reporting/analytic environments
• Capability to build machine learning solutions and work directly with technical customers
• Google Cloud Platform Professional Certification
• Strong communication and stakeholder management skills
• English proficiency at an Upper-Intermediate level (B2) or higher