pracaon.plpracaon.pl

Senior GCP Engineer with AI

Remote, Polska
EPAM
Partner
7Tg
Gehalt nach Vereinbarung
Vollzeit • Remote • IT, Daten & KI

Wichtige Merkmale des Angebots

  • Mind. 5 Jahre Erfahrung

  • DevOps / Cloud: AWS, Azure, Docker, Kubernetes

  • Daten: SQL / BI / Python

  • Vollzeit

  • Remote-Arbeit - kein Pendeln

Description

We are seeking a Senior GCP Engineer with AI expertise to join a project focused on building and maturing a centralized Cloud Product Engineering capability. This capability standardizes and simplifies the consumption of GCP native services such as GKE, Cloud Run, Cloud SQL, and Cloud Functions, while developing reusable Terraform modules and consistent patterns for internal engineering teams. The role centers on implementing and managing cloud infrastructure for a data mesh architecture project with a focus on the AI stack in GCP, collaborating closely with data engineers and architects to optimize the GCP platform. Responsibilities Request different services or permissions from the Central Cloud Engineering team through the established process in JIRA Design, configure, and maintain the GCP environment for the data mesh architecture project Collaborate with various teams to define cloud infrastructure requirements and ensure the scalability, security, and reliability of the GCP platform Build CI/CD pipelines and automation with cloud-specific deployment models using GitHub Actions Create and maintain documentation related to the GCP infrastructure and deployments Troubleshoot and resolve technical issues or performance bottlenecks related to the GCP platform Adhere to standards, best practices, and guides Requirements 5+ years of experience with Google Cloud Platform, including compute, storage, networking, and security services Proven experience designing and implementing cloud infrastructure using GCP, Terraform, and GKE Proficiency in DevOps practices and tools, including GitHub Actions, CI/CD, and Shell scripting Knowledge of Anthos Service Mesh / Istio, networking and firewall rules, and Helm charts Familiarity with GCP Monitoring and Logging Excellent problem-solving skills and the ability to troubleshoot complex issues in a timely manner English level B2+ to effectively communicate and collaborate with global teams Nice to have Familiarity with New Relic Background in software development Good verbal and written communication skills Decent business acumen

Requirements

  • 5+ years of experience with Google Cloud Platform, including compute, storage, networking, and security services

  • Proven experience designing and implementing cloud infrastructure using GCP, Terraform, and GKE

  • Proficiency in DevOps practices and tools, including GitHub Actions, CI/CD, and Shell scripting

  • Knowledge of Anthos Service Mesh / Istio, networking and firewall rules, and Helm charts

  • Familiarity with GCP Monitoring and Logging

  • Excellent problem-solving skills and the ability to troubleshoot complex issues in a timely manner

  • English level B2+ to effectively communicate and collaborate with global teams

Responsibilities

  • Request different services or permissions from the Central Cloud Engineering team through the established process in JIRA

  • Design, configure, and maintain the GCP environment for the data mesh architecture project

  • Collaborate with various teams to define cloud infrastructure requirements and ensure the scalability, security, and reliability of the GCP platform

  • Build CI/CD pipelines and automation with cloud-specific deployment models using GitHub Actions

  • Create and maintain documentation related to the GCP infrastructure and deployments

  • Troubleshoot and resolve technical issues or performance bottlenecks related to the GCP platform

  • Adhere to standards, best practices, and guides

Seniority

  • Senior

Nice to have

  • Familiarity with New Relic

  • Background in software development

  • Good verbal and written communication skills

  • Decent business acumen

Stichwörter / Fähigkeiten

Google Cloud Platform
Anthos Service Mesh
Google Gemini (Language Model)
Istio
MLOps
Terraform
AI Solution Engineering
GCP Networking
Google Kubernetes Engine
Google Vertex AI
New Relic
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