Senior Platform Engineer II, Compute Services

About the role

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.

Responsibilities

• 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.
• Respond to critical alerts and incidents outside business hours, providing timely resolution to minimize disruptions, collaborating with teams, and communicating clearly.

Requirements

• Bachelor's in CS, Engineering, or related field, or equivalent experience preferred.
• CKA or similar certifications is highly desired.
• 5+ years administering multi-tenant SaaS Kubernetes (EKS, AKS, GKS).
• Strong Gitops/DevOps with ArgoCD or similar helm chart management.
• Proven Docker and containerization experience.
• Strong Linux OS experience.
• Proficient in Go.
• Excellent problem-solving, debugging, and analytical skills.
• Strong communication and collaboration.

Qualifications

• Preferred Master's degree in Computer Science, Engineering, or a related field.
• Experience with performance profiling and optimization of distributed systems.
• Knowledge of network protocols and distributed consensus algorithms.

Skills

• Experience with Kubernetes administration and management.
• Strong understanding of cloud-native technologies and infrastructure.
• Ability to troubleshoot and resolve complex technical issues.
• Effective communication and collaboration skills.

Benefits

• The base salary range for this role is $165,000 to $242,000.
• A comprehensive benefits program including medical, dental, and vision insurance, company-paid life insurance, short and long-term disability insurance, flexible spending account, health savings account, tuition reimbursement, mental wellness benefits, employee stock purchase program, and more.