Senior Platform Engineer (Compute Services)

We are seeking a Senior Platform Engineer to join our Kubernetes Infrastructure team. This role involves administering our critical multi-tenant Kubernetes platforms and collaborating with development teams to establish proper deployment architectures. The ideal candidate will have a strong background in resilient kubernetes application architecture and deployment

Champion reliability initiatives for Kubernetes application deployments: Advocate for best practices to ensure high availability, scalability, and resilience of applications in Kubernetes, focusing on robust testing, secure pipelines, and efficient resource use

Administer multi-tenant Kubernetes platforms: Manage complex multi-tenant Kubernetes clusters, configuring access, quotas, and security for isolation and optimal resource allocation while upholding SLAs

Perform lifecycle and day 2 operations on clusters: Execute Kubernetes cluster lifecycle, including provisioning, patching, monitoring, backup, disaster recovery, and troubleshooting

Deep dive into reliability issues: Conduct in-depth analysis and root cause identification for complex reliability incidents in Kubernetes, utilizing advanced debugging and monitoring tools to propose preventative measures

Perform on-call duties: Respond to critical alerts and incidents outside business hours, providing timely resolution to minimize disruptions, collaborating with teams, and communicating clearly- Strong communication and collaboration

Proficient in Go

Strong Gitops/Devops with Argocd or similar helm chart management

CKA or similar certifications is highly desired

Excellent problem-solving, debugging, and analytical skills

Proven Docker and containerization experience

Strong Linux OS experience

Bachelor’s in CS, Engineering, or related field, or equivalent experience preferred

2+ years administering multi-tenant SAAS Kubernetes (EKS, AKS, GKS)

Master’s degree in Computer Science, Engineering, or a related field

Knowledge of network protocols and distributed consensus algorithms

Experience with performance profiling and optimization of distributed systems