Kubernetes Reliability Engineer

Position: Kubernetes Reliability Engineer at Search Atlas
Be a key player at Search Atlas, architecting Kubernetes-based platforms ensuring robust AI execution with 99.99% reliability. This role demands expertise in Terraform, ArgoCD, and high-concurrency systems.

In the role of Platform Reliability Engineer, you will focus on building and maintaining the Autonomous Nervous System for Atlas Brain. You’ll optimize ML inference pipelines, automate infrastructure processes, and design self-healing systems. The position requires an innovator who can push the boundaries of operational excellence for our autonomous marketing systems.

Key Responsibilities:

• Architect and maintain EKS/GKE-based Kubernetes platforms

• Automate infrastructure deployment with Terraform and ArgoCD

• Optimize high-concurrency crawling systems for real-time decisions

• Establish SLOs for AI execution and agent task completion

• Implement distributed monitoring solutions with Open Telemetry and Grafana

Requirements:

• 6+ years in Platform Engineering or SRE roles

• Mastery of Terraform, ArgoCD, and Git Ops workflows

• Expert in Kubernetes networking and security

• Hands-on MLOps experience for autonomous agents

• Proficiency in Python for automation scripts

With your skills in platform engineering and automation, drive Search Atlas to the next level of autonomous execution.
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