Optimizes performance of high-scale systems by analyzing latency, throughput, and resource usage. Requires expertise in profiling, systems programming, and distributed scaling techniques.
Leads design, operation, and evolution of highly reliable, scalable production infrastructure including cloud, databases, and observability. Drives incident response, SRE practices, automation, and capacity planning for large-scale distributed systems. Requires 7-12+ years in SRE/infrastructure engineering.
Builds and optimizes scalable infrastructure for AI model training on large GPU clusters. Requires expertise in distributed systems, Python/C++, and ML frameworks.
Builds and maintains scalable cloud infrastructure, focusing on reliability and performance. Requires expertise in cloud platforms, IaC tools like Terraform and Kubernetes, and systems programming.
Designs and operates scalable cloud infrastructure on AWS, focusing on Kubernetes orchestration, reliability practices, and observability for AI healthcare products. Requires 8+ years experience with IaC, containerization, and cross-team leadership.