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.
• Knowledge of GitOps and DevOps methodologies.
• Proficiency in Docker and container orchestration.
• Experience with Kubernetes cluster management and operations.
• Ability to troubleshoot and resolve complex reliability issues.
• Strong 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, ability to participate in employee stock purchase program (ESPP), mental wellness benefits, paid parental leave, flexible PTO, and more.

Pay

The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation.

Schedule

Not specified.