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Senior, highly specialized platform role in Bangalore reduces applicant density despite metro location.
Deep platform, cloud, and LLM/vector DB expertise required, limiting cross-industry transferability.
Explicit 12+ years plus 5+ years senior platform requirement and specific cloud/platform skill mandates.
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Own and operate the AWS production environment and unified CI/CD pipelines for 4–6 concurrent AI productization teams.
Manage vector database tier and LLM API hosting, ensuring scalability, cost optimization and performance across projects.
Develop reusable infrastructure modules and establish platform standards to enable faster, safer delivery by AI engineering teams.
12+ years software/infrastructure engineering experience, with at least 5 years in a senior platform or cloud architect role.
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related technical field.
Deep expertise in AWS services (networking, compute, data services, IAM) and Infrastructure-as-Code tools (Terraform or AWS CDK).
Hands-on experience with production-scale vector databases, LLM API integration and operation, and multi-team CI/CD pipeline design.
Experienced in building and operating infrastructure platforms supporting multiple AI or data-intensive teams simultaneously.
Skilled in creating self-service tooling, golden paths, and developer enablement for improved platform adoption and velocity.
Familiar with cost modeling and operational excellence for LLM APIs and vector databases in production environments.