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Sr Production Engineer (GCP)

156 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
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
Sr Production Engineer (GCP): Maintaining scalable, secure, and resilient high-availability cloud systems processing petabytes of data with an accent on GKE, infrastructure as code, and complex CI/CD pipelines. Focus on managing large-scale production networks, strengthening cloud security, and supporting 24/7 on-call operations.

Location: La Honda, California 94020, United States

Salary: $156,000 per year

Company

hirify.global provides staffing and employment services for technical professionals.

What you will do

  • Maintain scalable, secure, and resilient high-availability cloud infrastructure handling petabytes of data.
  • Operate and improve GCP environments across GKE, GCE, VPC networking, IAM, and cloud security.
  • Build and maintain infrastructure as code with Terraform, Ansible, and Helm Charts.
  • Architect and manage complex CI/CD pipelines using Python, Node, and Java.
  • Manage large-scale production networks and high-traffic applications.
  • Participate in 24/7 on-call rotations, post-mortems, and continuous reliability improvements.

Requirements

  • 5+ years of experience in SRE, DevOps, or cloud operations.
  • Expertise with GKE, GCE, VPC networking, cloud security, and IAM.
  • Advanced Terraform, Ansible, and Kubernetes Helm experience.
  • Proficiency in Python, Node, and Java, with experience maintaining CI/CD pipelines.
  • Strong knowledge of Linux internals, TCP/IP, HTTP, DNS, CDN, and load balancing.
  • Experience managing large-scale production networks and high-traffic applications.

Nice to have

  • Experience with GCS, Cloud SQL, Spanner, Memorystore, Vertex AI, BigQuery, Dataproc, or Looker.
  • Familiarity with Google Cloud Observability and OpenTelemetry.
  • Experience migrating legacy on-premises infrastructure to GCP.
  • Background in large-scale internet companies or Big Tech environments.
  • Experience processing petabytes of data and providing architectural mentorship.

Culture & Benefits

  • Collaborative communication with senior engineering leadership.
  • Work within Scrum and Agile frameworks with SMART sprint goals.
  • Use generative AI and LLMs to improve engineering workflows.
  • Focus on continuous improvement and post-mortem learning.
  • For temporary assignments lasting 13 weeks or longer: medical, dental, vision, 401(k), and applicable statutory sick pay.

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