Job Description

• Define and implement automation principles for edge compute provisioning and application deployments.
• Design and optimize intelligent caching, traffic steering, and edge routing strategies to reduce latency and maximize performance.
• Collaborate with security teams to implement DDoS protection, bot mitigation, and secure TLS termination policies.
• Develop monitoring, alerting, and observability frameworks (real-time + historical) for latency, traffic, and system health.
• Lead incident response efforts, including root cause analysis and blameless post-mortems.
• Partner with application, network, security, and platform teams to ensure edge systems integrate seamlessly with core infrastructure.
• Drive automation initiatives to reduce operational toil and improve system efficiency.
• Build tools, dashboards, and data pipelines to monitor service performance and identify bottlenecks.
• Establish and champion KPIs that measure reliability, scalability, and overall success of the edge practice.
• Serve as a thought leader in advancing edge operations aligned with business goals.

• Strong expertise in networking fundamentals (TCP/IP, BGP, DNS) and carrier-grade environments.
• Hands-on experience with Kubernetes administration, CI/CD pipelines, and Infrastructure as Code (Terraform).
• Proven background in GCP (preferred) and/or AWS cloud infrastructure.
• Deep experience in monitoring/observability tools (Prometheus, Grafana, ELK, New Relic, etc.).
• Demonstrated success driving automation and tooling initiatives to improve reliability and reduce toil.
• Prior experience guiding or leading Operations/SRE teams in large-scale, multinational environments.
• Exceptional communication, leadership, and cross-functional collaboration skills.