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Tier-1 employer, mid-level role, metro location, and generalist platform scope drive high competition.
Core platform and cloud skills are transferable, but TIMBR/semantic and agentic AI experience adds moderate domain specificity.
Explicit 5+ years, mandatory AWS and TIMBR/platform experience, and production operations requirements make filters highly strict.
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Develop, operate, and maintain platform infrastructure and automation supporting enterprise Data Context Layer (DCL) capabilities for scalable, consistent data context delivery.
Support platform services including compute, storage, identity/access control, monitoring, CI/CD, configuration, and backup focusing on stability, security, scalability, and production readiness.
Collaborate with cross-functional teams to ensure platform supports both enterprise data products and agentic AI-driven workflows reliably.
5+ years experience in platform engineering, cloud engineering, or DevOps roles.
Strong hands-on expertise with AWS cloud technologies and experience with TIMBR or TIMBR-like semantic/context-serving platforms.
Skilled in automation, provisioning, deployment, CI/CD pipelines, infrastructure as code, and platform production operations.
Knowledge of data context, semantic systems, ontologies, knowledge graphs, and agentic AI concepts. Work Experience Required: 5+ years. Notice Period: Not explicitly mentioned in the JD.
Technically strong platform/cloud engineer capable of delivering reliable, scalable, and secure platform services in AWS with semantic platform experience.
Experienced in enterprise-grade automation and operational tools supporting data context and semantic platforms for AI and business use cases.
Able to collaborate with architecture, data engineering, and product teams to translate requirements into platform solutions supporting complex AI-driven workflows.