Description

Lead reliability and automation for the entire compute ecosystem. Prevent failures at a fundamental level and drive 10x improvements in performance and efficiency.

Responsibilities

• Design and lead large-scale, cross-functional projects to improve core service reliability and infrastructure efficiency.
• Reduce toil by developing automation tools and championing the "everything as code" philosophy.
• Serve as the primary technical escalation point for critical incidents, conducting deep-dive root cause analyses and implementing corrective measures.
• Define and implement SLOs, SLIs, and Error Budgets for critical services.
• Enhance monitoring, logging, and tracing systems to provide comprehensive visibility into system health.

Required Skills

• 8+ years of progressive experience in Site Reliability Engineering or Production Engineering.
• Expert-level proficiency with AWS, including networking, compute, and storage.
• Deep expertise in Kubernetes and the cloud-native ecosystem.
• Fluency in at least one major scripting/programming language: Python, Go, or Java.
• Solid experience with monitoring and logging solutions, specifically Datadog.
• Proven ability to design and implement robust, highly available distributed systems.
• Demonstrated experience with Infrastructure as Code tools, specifically Terraform.

Preferred Skills

• Experience implementing Service Mesh technologies (e.g., Istio, Linkerd).
• Strong understanding of security principles and practices in a cloud environment.
• CKA (Certified Kubernetes Administrator) or CKAD (Certified Kubernetes Application Developer) certification.

Key Skills

Education

Any Graduate