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23 часа назад

Mid-Level Infrastructure/Backend Engineer

Тип работы
fulltime
Грейд
middle
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

Mid-Level Infrastructure/Backend Engineer (Infrastructure/Backend): Building and migrating a transparent, permissionless trading infrastructure with an accent on infrastructure migration, 100% IaC, and reducing latency while improving reliability and security. Focus on Kubernetes-based platform foundations, self-serve developer infrastructure workflows, and backend services in Go with Postgres and Clickhouse.

Location: New York (On-site)

Company

hirify.global builds an onchain, transparent trading stack for stocks, commodities, currencies, and crypto.

What you will do

  • Migrate applications from legacy infrastructure to a new, robust infrastructure.
  • Build, maintain, deploy, and manage services using 100% Infrastructure as Code (IaC).
  • Decrease latency and increase visibility, delivering measurable business impact.
  • Enable developer self-serve for deploying apps, requesting infrastructure, and monitoring/alerting.
  • Develop and improve an infrastructure layer that supports engineers self-serving most infrastructure needs.
  • Work on reliability and security, including thinking like a hacker and coordinating contained attack simulations using AI and existing tools.

Requirements

  • Strong experience with Kubernetes and Kubernetes best practices.
  • Hands-on experience with Terraform, ArgoCD, GitHub Actions, Docker, Dagster, Prometheus, and Grafana.
  • Experience writing backend applications in Golang.
  • Experience with Postgres and Clickhouse.
  • Security-minded approach to reducing attack vectors.
  • Ability to work on-site in New York.

Culture & Benefits

  • Infrastructure and backend work with a strong emphasis on security, reliability, and measurable impact.
  • Team culture focused on execution, accountability, and committing after decisions.
  • Collaboration across engineering, ops, and other teams with a strong learning mindset.
  • Expectation to use AI effectively with validation and guardrails.
  • Equal opportunity employer with an inclusion-focused culture.

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