Senior Platform Engineer, Network Infrastructure

This is a fully remote position, open to applicants in India.

📋 Description

• Design, develop, and manage the Kubernetes platform that supports GNI's network automation, telemetry, and operations across data centers, colocation, and cloud environments.

• Take ownership of lifecycle management for GNI Kubernetes environments, which includes cluster onboarding, upgrades, capacity management, availability, and recovery.

• Create production-grade software and automation tools for cluster provisioning, validation, upgrades, remediation, and secure multi-cluster delivery utilizing GitOps.

• Offer production support for network services that are hosted on the platform, collaborating with Network Automation and service teams who maintain ownership of application architecture, code, and features.

• Troubleshoot complex failures within the Kubernetes platform and hosted services, focusing on control-plane health, cluster networking, storage, scheduling, workload placement, and multi-cluster dependencies.

• Lead issues from the initial signal to confirmed resolution.

• Establish production-readiness and observability standards for the platform and hosted network services, which encompass health signals, capacity, alerts, runbooks, and recovery processes.

• Engage in CFR’s production on-call rotation, which includes scheduled after-hours and weekend duties.

• Oversee incident response and recovery efforts, ensuring completion of corrective actions.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent professional experience.

• Over 8 years of experience in building or managing production Kubernetes platforms, network infrastructure, or distributed systems.

• Extensive experience with Kubernetes at scale, covering cluster lifecycle management, upgrades, networking, storage, and recovery.

• Proficient in at least one general-purpose programming language, such as Go or Python.

• Familiarity with GitOps, infrastructure as code, CI/CD pipelines, and automated production deployment.

• Background in deploying and supporting network automation or telemetry services on Kubernetes.

• Experience with production on-call duties, incident response, root-cause analysis, and ensuring completion of corrective actions.

🏝️ Benefits

• Health insurance

• Retirement plans

• Paid time off

• Flexible work arrangements

• Professional development