
5001 - 10000 employees
Founded 1998
💼 Consulting
📦 Logistics
🤖 Artificial Intelligence
Consulting • Logistics • Artificial Intelligence
Rackspace Technology is a global managed cloud services provider that designs, builds, migrates and operates multicloud, hybrid and private cloud environments for enterprises. It offers consulting, professional and managed services across cloud infrastructure, application modernization, data platforms, AI/ML (Foundry of AI/FAIR), and cybersecurity, along with managed hosting, colocation and platform integrations with major hyperscalers. Rackspace serves regulated and mission-critical industries with a focus on security, compliance, cost optimization and operational reliability.
🔥 10 minutes ago
🇺🇸 United States – Remote
💵 $132.1k - $193.9k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
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5001 - 10000 employees
Founded 1998
💼 Consulting
📦 Logistics
🤖 Artificial Intelligence
Consulting • Logistics • Artificial Intelligence
Rackspace Technology is a global managed cloud services provider that designs, builds, migrates and operates multicloud, hybrid and private cloud environments for enterprises. It offers consulting, professional and managed services across cloud infrastructure, application modernization, data platforms, AI/ML (Foundry of AI/FAIR), and cybersecurity, along with managed hosting, colocation and platform integrations with major hyperscalers. Rackspace serves regulated and mission-critical industries with a focus on security, compliance, cost optimization and operational reliability.
• Own complex, cross-cutting infrastructure and CI/CD systems, including LLMOps pipelines • Set technical direction for the area and lead design reviews • Architect and own end-to-end delivery of complex infrastructure and CI/CD systems spanning multiple services • Mentor junior and mid-level engineers • Lead incident response and root-cause analysis for high-impact infrastructure issues • Secure AI endpoints and agentic tools against prompt-injection and data-leakage risks • Contribute to and help enforce security and compliance controls across infrastructure • Serve as a primary technical liaison to stakeholders and translate needs into the infrastructure/AI-ops roadmap • Participate in the on-call rotation for after-hours and weekend support • Occasionally present technical work to cross-functional groups
• Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent experience • 6–9 years of experience in technology, with significant infrastructure ownership • 4–6 years hands-on architecting/optimizing cloud infrastructure and CI/CD systems • 1+ year informally mentoring engineers or leading design reviews • Advanced expertise in cloud infrastructure, containerization/orchestration, and infrastructure as code (IaC) • Ability to independently design highly available, cost-optimized architectures • Ability to independently design CI/CD systems and deployment pipelines, including LLMOps pipelines for AI/ML models • Deep understanding of AI infrastructure operational signals, including latency, token cost, and drift • Experience designing monitoring and alerting for AI infrastructure operational signals • Experience mentoring mid-level and junior engineers on infrastructure design and secure AI-endpoint practices • Ability to present technical work to cross-functional groups of 5–10 people • Preferred: Cloud Professional-level certification • Preferred: Deep experience with LLMOps at scale, including GPU provisioning and vector DB hosting
• Annual bonus or incentives • Equity awards • Employee Stock Purchase Plan (ESPP) • Benefits offered by Rackspace Technology • Remote work arrangement
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