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Niche founding AI-cloud role in Bangalore with startup brand, reducing applicant density.
Requires deep AWS and AI-infrastructure experience, limiting cross-industry transferability.
Mandates deep AWS, IaC, security, and AI-infrastructure expertise, enforcing strict technical filters.
Design, build, and scale the cloud infrastructure for an AI-native platform from scratch with full ownership over architecture and production reliability.
Work cross-functionally with Product, AI, and Engineering teams to deliver secure, scalable, and reliable cloud systems.
Make technical decisions affecting long-term platform growth, including Infrastructure as Code, CI/CD pipelines, and observability.
Strong hands-on experience building and managing production infrastructure on AWS, including core services like EC2, ECS, VPC, IAM, S3, RDS, Route 53, CloudFront, CloudWatch, and Load Balancers.
Proficiency in Infrastructure as Code using Terraform (preferred) or AWS CloudFormation.
Experience with Docker, containerized environments, CI/CD pipelines, Linux, networking, and production incident management.
Work Experience Required: Not explicitly mentioned in the JD.
Has deep AWS expertise and enjoys designing secure, scalable, resilient cloud architectures from zero to one rather than maintaining legacy systems.
Experience supporting AI or machine learning infrastructure including Large Language Models workload, vector databases, or retrieval-based systems.
Comfortable owning end-to-end platform engineering responsibilities including automation, security, and reliability in a fast-moving startup environment.