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1 день назад

Cloud Support Engineer (SRE Development)

149 800 - 224 600$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
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
Cloud Support Engineer (SRE Development) (AI Security SaaS): Supporting and scaling an AI Security public SaaS platform with an accent on proactive monitoring, customer-centric incident response, and SRE automation. Focus on building self-healing capabilities, improving reliability, and supporting scalable infrastructure for AI inference workloads.

Location: San Jose, United States; hybrid work

Annual base pay: $149,800–$224,600

Company

hirify.global develops cybersecurity and application delivery solutions that help organizations create, secure, and operate digital applications.

What you will do

  • Monitor SaaS application metrics, logs, and alerts to identify and prevent service disruptions.
  • Support a 24/7 operational model focused on high availability and performance.
  • Serve as a primary technical contact for customers, troubleshooting issues and owning incidents through resolution.
  • Analyze incidents and operational data to provide actionable insights to development teams.
  • Design and implement automation for incident response, monitoring, alerting, and self-healing.
  • Contribute to scalable, resilient infrastructure supporting AI inference workloads.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
  • 1–3+ years of experience in technical support, systems administration, or a similar role.
  • Understanding of SaaS environments and cloud-based architectures, preferably AWS.
  • Proficiency in at least one scripting language, such as Python.
  • Knowledge of HTTP, REST APIs, JSON, ticketing systems, and core troubleshooting practices.
  • Strong analytical, problem-solving, written, and verbal communication skills.

Nice to have

  • Experience with Prometheus, Grafana, Terraform, or other monitoring and configuration management tools.
  • Exposure to SRE and reliability engineering practices.
  • Knowledge of networking, PostgreSQL, Linux, Kubernetes, and cloud infrastructure technologies.

Culture & Benefits

  • Work in a cybersecurity-focused environment supporting SaaS and AI workloads.
  • Collaborate across support, development, and engineering teams.
  • Potential eligibility for incentive compensation, bonuses, restricted stock units, and employee benefits.
  • Operate within a 24/7 service model focused on customer experience and platform reliability.

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