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18 часов назад

Data Platform Engineer (Kubernetes)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Platform Engineer (Kubernetes): Building and operating a secure, scalable enterprise Data Private Cloud platform with an accent on container-platform development and SecOps automation. Focus on designing automated workflows for data services, implementing security controls across the SDLC, and ensuring platform reliability for large-scale data processing.

Location: Must be based in Charlotte, NC (Hybrid work model).

Company

hirify.global is a provider of IT staffing and business services.

What you will do

  • Design and build automated platform workflows for provisioning and managing data services on OpenShift/Kubernetes.
  • Develop and maintain capabilities for data ecosystem components including Spark, Iceberg, and Ranger.
  • Engineer security automation for data access, encryption, and protection across the platform.
  • Integrate security controls directly into CI/CD pipelines and infrastructure-as-code processes.
  • Collaborate with architects and DevOps teams to deliver secure, resilient, and scalable end-to-end data solutions.
  • Contribute to platform reliability through SRE practices, runbooks, and standardized operational procedures.

Requirements

  • 5+ years of experience in software or platform engineering.
  • Strong Python development skills for enterprise-scale automation.
  • Practical experience building or operating software in containerized environments like Kubernetes or OpenShift.
  • Solid understanding of security fundamentals including least privilege and secure SDLC.
  • Experience implementing CI/CD pipelines and integrating security checks into delivery workflows.
  • Excellent communication skills for working across diverse engineering and security stakeholders.

Nice to have

  • Familiarity with open-source ecosystem tools like Ranger, Keycloak, DataHub, or Superset.
  • Knowledge of S3-compatible object storage and distributed data processing.
  • Experience with observability tooling, security telemetry, and incident response.
  • Exposure to API design or frontend development for operational portals.

Culture & Benefits

  • Contract opportunity (W2) with a major enterprise client.
  • Focus on cutting-edge secure-by-default data platform architecture.
  • Opportunity to work at the intersection of Data Engineering, DevOps, and Security.
  • Collaborative environment involving cross-functional work with architects and security experts.

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