Platform Reliability Engineer - Remote

Overview

The Platform Reliability Engineer will design and maintain a Kubernetes-based platform that hosts the autonomous AI agent, ensuring high reliability and zero manual intervention in marketing execution.

In Short

• Design and maintain Kubernetes-based platforms for AI execution.
• Automate infrastructure using Terraform and ArgoCD.
• Optimize ML inference pipelines for real-time decision-making.
• Establish SLOs for AI execution success rates.
• Implement observability tools like OpenTelemetry and Grafana.
• Design safety controls for autonomous agent execution.
• Govern cloud spend and resource allocation.
• Collaborate with cross-functional teams to enhance platform reliability.
• Ensure sub-second latency for agent task execution.
• Build self-healing systems to preemptively resolve failures.

Requirements

• 6+ years in Platform Engineering, SRE, or Infrastructure roles.
• Mastery of Terraform, ArgoCD, and GitOps workflows.
• Expert-level Kubernetes networking, scaling, and security.
• Hands-on experience with MLOps pipelines.
• Proficiency in Python for automation tools.
• Deep expertise in distributed tracing and monitoring.
• Experience with high-frequency data pipelines.

Benefits

• Work on cutting-edge AI technology.
• Opportunity to shape the future of autonomous marketing.
• Collaborative and innovative work environment.
• Flexible work hours.
• Competitive salary and benefits package.