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Systems Engineer / DevOps (AI)

120 000 - 180 000$
Формат работы
onsite
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

Текст:
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TL;DR
Systems Engineer / DevOps (AI): Automating and operating GPU-focused data center and AWS infrastructure for a production-scale AI model inference platform with an accent on reliability, security, deployment tooling, and operational automation. Focus on managing Linux systems, containers, orchestration, networking, monitoring, incident response, and root cause analysis across diverse infrastructure.

Location: San Francisco, United States; on-site

Base salary: $120,000–$180,000 per year; stock options may be offered in addition.

Company

Deploy is an AI intelligence infrastructure platform providing access to open-source and proprietary AI models, with optimized inference technology, proprietary content-safety and detection models, GPU-focused data centers, and AWS infrastructure.

What you will do

  • Automate manual operational processes and improve workflows for developer, data, and machine learning teams.
  • Manage integration and deployment tooling across a diverse technology platform.
  • Create, maintain, monitor, secure, and audit infrastructure supporting a SaaS offering.
  • Participate in on-call rotations and perform root cause analysis.
  • Apply OWASP Top 10 techniques and information-security policies to protect infrastructure and code.
  • Report actual or suspected security and policy violations or breaches to the appropriate authority.

Requirements

  • 1–2 years of experience in development, operations, IT, or a related field.
  • Comfort working with Linux infrastructure, including Debian, through the command-line interface.
  • Ability to learn quickly in a fast-paced environment.
  • Ability to multitask, prioritize, manage time efficiently, and work independently.
  • Ability to physically lift equipment weighing at least 30 pounds.
  • Effective communication across teams and management levels.
  • Experience with or ability to work across the listed technology stack, including Linux/Ubuntu, Chef, Ansible, Puppet, Salt, Docker, Mesosphere, Kubernetes, Python, Ruby, Node, Bash, Jenkins, Arista, Cisco, Fortinet, HP, SuperMicro, Ceph, S3, Scylla, Postgres, Pivotal GreenPlum, RabbitMQ, ELK, AWS, TCP/IP, ICMP, SSH, DNS, HTTP, SSL/TLS, RAID, distributed file systems, NFS, iSCSI, and CIFS.

Nice to have

  • Degree in computer science or a similar field.

Culture & Benefits

  • Work takes place on-site in San Francisco.
  • Participation in a fast-growing AI startup with a steep learning curve.
  • Opportunity to contribute directly to the development of the company.
  • Stock options may be offered in addition to base salary.

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