Senior Kubernetes Platform Engineer
Our mission at Tensorwave Cloud is to build seamless, secure, reliable, and resilient AI infrastructure at scale, eliminating barriers and challenging the status quo to empower builders and support AI innovation.
About the role
We are seeking a Senior Kubernetes Platform Engineer focused on support and operations.
You’ll play a critical role in maintaining the stability and reliability of our bare-metal Kubernetes infrastructure and work closely with senior engineers, taking point on troubleshooting, incident response, and day-to-day cluster operations across multi-tenant workloads.
This is a great opportunity for engineers ready to deepen their Kubernetes expertise while supporting cutting-edge AI environments in real-time.
Responsibilities
• Own and troubleshoot operational issues within Kubernetes environments
• Maintain and monitor core services (e.g., Cilium, HAProxy, Prometheus, etc.)
• Ensure uptime, performance, and reliability of multi-tenant clusters
• Assist with Ingress/Egress connectivity and network debugging
• Support internal and customer teams in secure, isolated VPC environments
• Collaborate with senior engineers on automation and cluster lifecycle improvements
Required Experience
• Bachelor of Science in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
• 5+ years experience in DevOps, SRE, or Linux infrastructure roles
• 4+ years of hands-on experience with Kubernetes in production
• 3+ years designing and operating multi-tenant Kubernetes platforms at CSP or hyperscaler scale (AWS EKS, GCP GKE, Azure AKS) including control plane architecture, cluster federation, and tenant isolation strategies
• Proven experience implementing production-grade cluster authentication (OIDC/SSO integration, RBAC policies) and advanced network design (CNI selection/configuration, network policies, service mesh architecture, cross-cluster networking)
• Familiarity with networking, CNI plugins, and core Linux troubleshooting
• Strong infrastructure-as-code mindset - Helm, Terraform, Ansible
• Solid experience with monitoring and logging tools - Prometheus, Grafana, Loki
• Understanding of secure infrastructure design principles and least-privilege access
Preferred Experience
• Experience with RKE2, Rancher, or similar platforms
• Experience troubleshooting or supporting AI or GPU-based workloads
• Familiarity with HAProxy, Cilium, or other Kubernetes ingress/networking tools
What We Bring
• Mission driven company
• Competitive Salary
• Stock Options
• 100% paid Medical, Dental, and Vision insurance
• Flexible PTO
• Paid Holidays
• 401(k)
• Parental Leave
• Flexible Spending Account
• Short Term Disability Insurance
• Life and Voluntary Supplemental Insurance
• Mental Health Benefits through Spring Health
We’re looking for resilient, adaptable people to join our team, people who believe in the mission and think at massive scale. The solutions that worked on a handful of devices will not work at Exascale. Be prepared to be pushed daily, to learn a lot, and literally build the future.
Tensorwave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, national origin, or veteran status.
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About the role
We are seeking a Senior Kubernetes Platform Engineer focused on support and operations.
You’ll play a critical role in maintaining the stability and reliability of our bare-metal Kubernetes infrastructure and work closely with senior engineers, taking point on troubleshooting, incident response, and day-to-day cluster operations across multi-tenant workloads.
This is a great opportunity for engineers ready to deepen their Kubernetes expertise while supporting cutting-edge AI environments in real-time.
Responsibilities
• Own and troubleshoot operational issues within Kubernetes environments
• Maintain and monitor core services (e.g., Cilium, HAProxy, Prometheus, etc.)
• Ensure uptime, performance, and reliability of multi-tenant clusters
• Assist with Ingress/Egress connectivity and network debugging
• Support internal and customer teams in secure, isolated VPC environments
• Collaborate with senior engineers on automation and cluster lifecycle improvements
Required Experience
• Bachelor of Science in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
• 5+ years experience in DevOps, SRE, or Linux infrastructure roles
• 4+ years of hands-on experience with Kubernetes in production
• 3+ years designing and operating multi-tenant Kubernetes platforms at CSP or hyperscaler scale (AWS EKS, GCP GKE, Azure AKS) including control plane architecture, cluster federation, and tenant isolation strategies
• Proven experience implementing production-grade cluster authentication (OIDC/SSO integration, RBAC policies) and advanced network design (CNI selection/configuration, network policies, service mesh architecture, cross-cluster networking)
• Familiarity with networking, CNI plugins, and core Linux troubleshooting
• Strong infrastructure-as-code mindset - Helm, Terraform, Ansible
• Solid experience with monitoring and logging tools - Prometheus, Grafana, Loki
• Understanding of secure infrastructure design principles and least-privilege access
Preferred Experience
• Experience with RKE2, Rancher, or similar platforms
• Experience troubleshooting or supporting AI or GPU-based workloads
• Familiarity with HAProxy, Cilium, or other Kubernetes ingress/networking tools
What We Bring
• Mission driven company
• Competitive Salary
• Stock Options
• 100% paid Medical, Dental, and Vision insurance
• Flexible PTO
• Paid Holidays
• 401(k)
• Parental Leave
• Flexible Spending Account
• Short Term Disability Insurance
• Life and Voluntary Supplemental Insurance
• Mental Health Benefits through Spring Health
We’re looking for resilient, adaptable people to join our team, people who believe in the mission and think at massive scale. The solutions that worked on a handful of devices will not work at Exascale. Be prepared to be pushed daily, to learn a lot, and literally build the future.
Tensorwave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, national origin, or veteran status.
Apply tot his job
Apply To this Job