Mid-Level Platform Engineer (Kubernetes)
Company websitegetclera.com (Clera, opens in new tab)
Base salary $180K to $210K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (4 min ago) · observed since
About this job
About the Role
Join an early-stage AI infrastructure team building tools that simplify the deployment and operation of production Kubernetes environments. You will help shape the platform and infrastructure layer that enables developers to manage workloads across multiple clusters.
What You'll Do
Build platform features in Go, including custom Kubernetes operators and controllers.
Design GitOps workflows with ArgoCD to support continuous deployment.
Create infrastructure-as-code patterns with Terraform and Helm to provision and manage clusters.
Work on distributed storage using Ceph and WEKA for scalable, high-performance environments.
Develop observability and monitoring with Prometheus and Grafana to surface cluster health and performance.
Improve container networking with Cilium, with attention to security and observability.
Design federated Kubernetes architectures for multi-cluster management.
Build automation that reduces operational work for developers running production workloads.
What We're Looking For
At least 2 years of software development experience, with around 5 years preferred.
Hands-on experience writing Go for Kubernetes environments and managing production Kubernetes clusters at meaningful scale.
Experience with distributed storage such as Ceph or WEKA, and designing multi-cluster or federated Kubernetes architectures.
Practical experience with GitOps and ArgoCD, plus infrastructure as code using Terraform, Helm, or comparable tools.
Familiarity with observability tools such as Prometheus and Grafana; open-source infrastructure contributions are a plus.
Knowledge of cloud-native infrastructure, container networking, and cloud platforms is valuable.
Compensation & Benefits
Base salary: $180,000 to $210,000 annually. Visa sponsorship is available.
Location
This is a full-time, on-site role in San Francisco, California, United States.
Source: Clera on Ashby · View original posting (opens in new tab)
This listingMid-Level Platform Engineer (Kubernetes)$180K to $210K
Mid-Level Platform Engineer, Biotech$180K to $240K
Head of Engineering$180K to $220K
Founding Forward Deployed Engineer$180K to $250K
Founding Engineer$180K to $250K
Founding Full Stack Engineer$180K to $230K
Founding Design Engineer$180K to $220K
Chart as a table
| Role | Published base |
|---|---|
| Mid-Level Platform Engineer (Kubernetes) (this listing) | $180K - $210K |
| Mid-Level Platform Engineer, Biotech | $180K - $240K |
| Head of Engineering | $180K - $220K |
| Founding Forward Deployed Engineer | $180K - $250K |
| Founding Engineer | $180K - $250K |
| Founding Full Stack Engineer | $180K - $230K |
| Founding Design Engineer | $180K - $220K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-15
Where this pay comes from
Location as the employer wrote it: San Francisco
Base salary: $180,000 to $210,000 annually. Visa sponsorship is available.
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
