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Systems Engineer / DevOps

Hive· DevOps and Systems Team
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San Francisco$120k - $180kFull-timePosted 11mo ago

About the role

DevOps and Systems role at Hive, a cloud-based AI solutions provider. Hybrid infrastructure with on-prem data centers and AWS, focusing on automation, reliability, and enabling rapid deployment for a SaaS offering.

Responsibilities

  • Automate manual operational processes
  • Improve workflows of developer, data, and machine learning teams
  • Manage integration and deployment tooling
  • Create, maintain, monitor, secure and audit infrastructure
  • Manage a diverse array of technology platforms, following best practices and procedures
  • Participate in on-call rotation and root cause analysis
  • Utilize OWASP top 10 techniques to secure code from vulnerabilities
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Qualifications

  • Minimum 1 - 2 years of previous experience in development, operations, IT, or a related field
  • Comfortable working on Linux infrastructures (Debian) via the CLI
  • Able to learn quickly in a fast-paced environment
  • Able to multitask, prioritize, and manage time efficiently independently
  • Able to physically lift equipment at least 30 pounds
  • Can communicate effectively across teams and management levels
  • Degree in computer science, or similar, is an added plus

Skills

Required:Linux administrationAutomationCI/CD

Benefits

  • Base salary range $120,000 - $180,000 (base pay; stock options may be offered)
Last updated Jul 29, 2026. Interested? Apply on the company site.

About Hive

AI to Understand, Search, and Generate Content | Hive

Hive's APIs enable developers to integrate pre-trained AI models that address technically challenging content understanding needs into their applications.

ai modelssolutionscontent understandingcomputer visiondeep learningai solutionsdata labeling
Company profileWebsite

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