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2 дня назад

GCP Platform Engineer (Golang)

13 000 - 28 000PLN
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

GCP Platform Engineer (Golang): Designing and maintaining the Data Analytics Platform on GCP with an accent on infrastructure automation and cloud-native architecture. Focus on developing automation services in Golang, implementing IaC with Terraform, and ensuring platform scalability and security.

Location: Warszawa (Pańska 97)

Salary: 13,000 – 28,000 PLN

Company

hirify.global is a multinational technology center for one of the world's leading financial institutions, focusing on data-driven innovation and cloud excellence.

What you will do

  • Design, build, and maintain the corporate Data Analytics Platform on GCP.
  • Develop infrastructure automation services utilizing Golang.
  • Create scalable, secure, and cloud-native solutions.
  • Implement and maintain monitoring, logging, and alerting systems.
  • Support platform users and facilitate smooth tenant onboarding.
  • Collaborate with stakeholders to deliver cost-efficient and reliable solutions.

Requirements

  • 4+ years of experience working with Google Cloud Platform (GCP).
  • Strong proficiency in Golang for building infrastructure or automation services.
  • Hands-on experience with Terraform (Infrastructure as Code).
  • Experience with CI/CD pipelines and tools like Azure DevOps, Docker, and Kubernetes.
  • Experience with GCP services: Cloud Run, Vertex AI, GKE, BigQuery, Dataproc, and GCS.
  • English: B2 level or higher required.

Nice to have

  • Experience with distributed systems and large-scale data processing on GCP.
  • Proven track record in optimizing infrastructure and platform performance.
  • Contributions to open-source projects.
  • Strong automation-first mindset.

Culture & Benefits

  • Work within a multinational, distributed team.
  • Environment based on agile, lean, and design-thinking principles.
  • Culture of innovation, ownership, and experimentation.
  • Opportunity to solve complex engineering challenges and shape the data ecosystem.
  • Focus on platform engineering excellence.

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