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Tier-1 employer, metro Hyderabad, popular platform role, and mid-level seniority increase competition.
Core platform and SRE skills are transferable, but semantic/context and healthcare governance needs add moderate specialization.
Explicit 7+ years requirement plus mandatory platform, SRE, cloud, and production operations skills increase filtering rigor.
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Lead the design and delivery of platform engineering capabilities for an enterprise Data Context Layer, enabling standardized data context services across teams.
Build and maintain platform services including automation, deployment, observability, security, and operational tooling to ensure reliability, scalability, and ease of adoption.
Collaborate cross-functionally to define technical standards, improve development-to-production workflows, and support both enterprise application and agentic AI use cases with operational excellence.
7+ years experience in platform engineering, infrastructure, site reliability, DevOps, or technical architecture roles.
Strong hands-on expertise with cloud platforms, CI/CD, automation, observability, and production operations.
Familiarity with data context, semantic platforms, ontology-driven systems, or knowledge graph ecosystems, and working knowledge of agentic AI, prompt engineering, and context engineering.
Work Experience Required: 7+ years; Visa Sponsorship: No; Relocation: No; Travel: No Travel Required.
Experienced in building shared platform capabilities used by multiple teams with strong focus on developer enablement and operational excellence.
Comfortable working in complex environments integrating semantic, data context, and AI-driven technologies to support scalable, governed platforms.
Able to lead technical design and cross-team collaboration to drive standardization, automation, and production readiness for context services and AI workflows.