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$ cat jobs/principal-devops-architect-liatrio-9552c6c69a90.json

Principal DevOps Architect

liatrio·US·United States·senior
devops
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About Liatrio At Liatrio , we enable real transformation. We help industry-leading enterprises break free from legacy systems and adopt AI that reshapes how teams build, deliver, and thrive at scale. We partner directly with enterprise teams to embed AI-native practices into delivery– accelerating modernization, reducing risk, and shipping production-grade AI systems that set the standard for the industry. Our people embed directly inside client organizations, leading hands-on AI enablement and transformations that reshape how entire enterprises build and operate at scale. If you’re ready to lead real AI transformation, this is where you belong. About The Role The Principal Platform Architect is one of the most senior technical roles at Liatrio . You are accountable for the strategic technical direction of major enterprise Platform transformation engagements — setting the architectural vision, defining how enterprises evolve their delivery capabilities, and ensuring what we deliver creates durable, lasting change. You walk into complex enterprise organizations with fragmented toolchains and years of accumulated technical debt, and you build a credible path forward — articulating it to a CTO in the morning and working through the details with a platform engineer in the afternoon. What You'll Do: Enterprise Technical Strategy and Architecture You're making architectural decisions that shape how a large enterprise builds, delivers, and operates software at scale — decisions that affect dozens of teams and how the organization moves for years to come. Leading teams of 30-40+ engineers, that looks like: Defining the entire technical direction for major enterprise Platform transformation engagements — the target state architecture, the platform strategy, the sequencing, and the standards that dozens of teams will build against Designing the cloud-native platform architecture that determines how the organization operates at scale — how workloads run, how pipelines deliver,

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