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12 часов назад

Senior Infrastructure Engineer (AWS/Kubernetes)

157 000 - 195 000$
Формат работы
remote (только USA)
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

Текст:
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TL;DR
Senior Infrastructure Engineer (AWS/Kubernetes/Snowflake): Building and operating secure, scalable cloud infrastructure and data-platform systems with an accent on infrastructure as code, Snowflake operations, cost optimization, and compliance. Focus on optimizing warehouse performance, automating AWS and Kubernetes delivery through Terraform and GitOps, strengthening observability and security, and supporting US-business-hours on-call operations.

Location: United States; remote within the country. The role participates in a shared US-business-hours on-call rotation.

Annual base pay: $181,000–$220,000 for the San Francisco Bay Area and New York City; $157,000–$195,000 for all other US locations. Performance-based bonuses and equity may also be available.

Company

hirify.global develops healthcare intelligence products using de-identified real-world patient data, algorithms, and its Healthcare Map.

What you will do

  • Operate and optimize Snowflake in production, including warehouse consumption, cost monitoring, RBAC, metadata tagging, and query-performance troubleshooting.
  • Build and operate AWS and Kubernetes infrastructure as code with Terraform and deploy it through ArgoCD GitOps.
  • Maintain CI/CD pipelines with GitHub Actions or comparable tooling for application and infrastructure delivery.
  • Drive performance, scalability, and cost optimization through FinOps practices, resource tagging, and cost attribution.
  • Harden IAM, RBAC, networking, secrets management, observability, and compliance alignment with HIPAA and SOC2 expectations.
  • Participate in on-call operations and collaborate with engineering, data, security, and developer teams.

Requirements

  • Production experience with Snowflake or a comparable cloud data warehouse, including SQL, warehouse operations, and query-performance fundamentals.
  • Production AWS infrastructure experience with attention to security and cost.
  • Strong Terraform infrastructure-as-code proficiency.
  • Experience with Docker and Kubernetes.
  • Scripting and automation skills in Python, Go, or Bash, plus CI/CD experience with at least one delivery tool.
  • Hands-on experience with AI-assisted engineering tools and the ability to validate generated output before production use.

Nice to have

  • Advanced Snowflake administration, SQL, and data-warehouse internals.
  • Experience with Spark, Airflow, or dbt.
  • FinOps or cloud cost-optimization experience.
  • Familiarity with HIPAA, SOC2, data governance, and compliance requirements.

Culture & Benefits

  • Remote and hybrid work models are available depending on role scope, with hubs in San Francisco, New York City, and Chicago.
  • Comprehensive health, dental, and vision insurance.
  • Flexible time off and holidays, disability and life insurance, and applicable leaves of absence.
  • 401(k) with company match and possible equity awards.
  • AI is expected to be integrated into daily engineering work, including coding, documentation, workflow automation, and analysis.

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