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Senior Site Reliability Engineer

Hive· Hive – Product & Engineering
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Hybrid (San Francisco, CA)$160k - $250kFull-timePosted 11mo ago

About the role

Senior Site Reliability Engineer responsible for automating deployment and operations, optimizing performance at scale, and maintaining secure, reliable infrastructure for Hive’s enterprise SaaS offering.

Responsibilities

  • Automate manual operational processes
  • Improve workflows of developer, data, and machine learning teams
  • Manage secure integration and deployment tooling
  • Create, maintain, monitor, and audit secure infrastructure
  • Manage a diverse array of technology platforms, following best practices and procedures
  • Participate in on-call rotation and root cause analysis
  • 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 3 - 5 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 debug, optimize, and automate routine tasks
  • 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 administrationAutomationOn-call and incident management

Benefits

  • Base salary range $160,000 - $250,000
  • Stock options may be offered in addition to the base range
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
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