DevOps Engineer IV

Summary:

Owns complex, cross-cutting infrastructure and CI/CD systems — including LLMOps pipelines — setting technical direction for the area, mentoring engineers, and leading incident response for high-impact issues.

Required Education & Experience 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.

Preferred Cloud Professional-level certification. Deep experience with LLMOps at scale (GPU provisioning, vector DB hosting Knowledge, Skills, and Abilities 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.

Job Functions/ 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.

Our compensation reflects the cost of labor across several geographic markets. The compensation range for this position ranges from $/year in our lowest geographic market up to  USD/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP).

About Rackspace Technology Rackspace Technology is the trusted operator of the full enterprise AI stack, from governed private cloud to AI inference and agents in production. From edge to core to cloud, we operate the infrastructure, data layer, and software integration to deliver business outcomes with the predictable cost, reliability, security, and compliance that regulated and mission‑critical environments demand. We support customers in more than 120 countries with AI capabilities spanning private cloud, public cloud, applications, data and cyber resilience.

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