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3 дня назад

Senior Elastic Platform Engineer

102 000 - 149 600$
Формат работы
hybrid
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

Senior Elastic Platform Engineer (DevOps/SRE): Building and scaling multi-domain Elastic environments for enterprise-scale data and observability workloads with an accent on cluster topology, shard strategy, and performance optimization. Focus on automating infrastructure-as-code, ensuring system reliability, and driving platform strategy across shared business domains.

Location: Must be based in or able to commute to Westminster, CO (onsite 3 days/week), with occasional work in Longmont, CO.

Salary: $102,000 – $149,600 annually.

Company

hirify.global is a spatial intelligence company focused on helping operators and decision-makers navigate complex data environments.

What you will do

  • Partner with engineering leads to evolve multi-tenant, multi-domain Elastic environments.
  • Optimize cluster topology, shard strategy, and cross-cluster replication for performance and cost.
  • Build and maintain ingestion pipelines using tools like Kafka, Beats, and Logstash.
  • Automate platform operations using Terraform, Kubernetes, and Helm.
  • Troubleshoot complex cluster issues including heap pressure, query latency, and shard imbalance.
  • Define standards and guardrails for platform usage across various business domains.

Requirements

  • U.S. Citizenship required.
  • Active U.S. Government security clearance at Secret level required.
  • 6–10+ years of experience in DevOps, SRE, or platform engineering.
  • Deep hands-on experience operating Elasticsearch at scale in production environments.
  • Strong proficiency with Kubernetes, Helm, and Terraform.
  • Experience building and operating systems in AWS.

Nice to have

  • Experience with monitoring ecosystems like Prometheus or Grafana.
  • Background in SIEM or security analytics using Elastic.
  • Experience with large-scale data lakehouse architectures.
  • Relevant AWS or cloud certifications.

Culture & Benefits

  • Competitive total rewards package including 401(k) with company match.
  • Support for mental health and unique perks like student loan repayment assistance.
  • Adoption reimbursement and pet insurance.
  • Focus on building systems with autonomy and technical influence.

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