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Senior Site Reliability Engineer

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

About the role

Senior Site Reliability Engineer role within Hive's DevOps and Systems Team, focused on automating operations, improving workflows, secure infrastructure, and on-call incident response for enterprise SaaS in a hybrid cloud/data center environment.

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 / incident response

Benefits

  • Health, vision and dental insurance
  • Gym membership
  • Paid vacation per company policy
  • Equity grant in the form of stock options potentially 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
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