AI Infrastructure Engineer
Core
Design, build, and operate secure, scalable cloud infrastructure for real-time AI services and customer-facing applications, ensuring latency, reliability, and cost efficiency.
Role type
Senior Infrastructure Engineer (AI/Cloud)
Builds
Production-grade cloud platforms, deployment systems, and internal tooling for AI agents and real-time services.
Domain
Cloud Infrastructure & AI Systems
Deliverable
production ML models | infrastructure
Required skills
Cloud platform expertise (AWS), distributed systems design, infrastructure as code, CI/CD automation, Python programming, observability, capacity planning, security fundamentals.
Preferred skills
Experience with containers, AI-native operational habits, cost optimization strategies, complex distributed-system debugging.
Technologies
AWS, Docker, ECS, Lambda, API Gateway, OpenTofu/Terraform, Datadog, Python.
Responsibilities
Design scalable cloud infrastructure for real-time AI services, improve service reliability via SLOs and observability, build safe and repeatable deployment systems, own infrastructure as code and environment consistency, partner on architecture and operational readiness, diagnose complex distributed-system failures, reduce infrastructure and model-serving costs, strengthen security foundations, build internal tooling for engineers, participate in incident response and system improvement.
Seniority
Senior, hands-on IC
