DevOps Engineer IV - US

Rackspace Technology operates enterprise AI infrastructure, data, and software integration across private and public cloud environments. The DevOps Engineer IV owns complex infrastructure and CI/CD systems, including LLMOps pipelines, while setting technical direction, mentoring engineers, leading incident response, and supporting secure AI operations.

Responsibilities:

• Architect and own end-to-end delivery of complex infrastructure and CI/CD systems, including LLMOps pipelines, spanning multiple services
• Lead design reviews and set technical direction for own area; mentor junior/mid engineers
• Lead incident response and root-cause analysis for high-impact infrastructure issues within own domain
• Help secure AI endpoints and agentic tools against prompt-injection and data-leakage risks for owned systems
• Contribute to and help enforce security/compliance controls across infrastructure
• Serve as a primary technical liaison to stakeholders, translating needs into the team's infrastructure/AI-ops roadmap
• Participate in the on-call rotation for after-hours and weekend support

Requirements:

• 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 IaC; independently designs highly available, cost-optimized architectures
• Independently designs CI/CD systems and deployment pipelines, including LLMOps pipelines for AI/ML models
• Deep understanding of AI infrastructure operational signals (latency, token cost, drift) and designs monitoring/alerting for them
• Mentors mid-level and junior engineers on infrastructure design and secure AI-endpoint practices
• Occasionally presents technical work to cross-functional groups of 5–10 people
• Cloud Professional-level certification
• Deep experience with LLMOps at scale (GPU provisioning, vector DB hosting