AI Summary
Design core platform features using Go and Kubernetes, implement GitOps workflows, manage infrastructure with Terraform and Helm, and build observability systems. Join an early-stage startup shaping its product and architecture.
Key Highlights
Build and extend core platform features using Go and Kubernetes
Design and implement GitOps workflows with ArgoCD
Develop infrastructure-as-code patterns using Terraform and Helm
Key Responsibilities
Build and extend core platform features using Go, including custom Kubernetes operators and controllers
Design and implement GitOps workflows with ArgoCD to streamline and automate continuous deployment
Develop infrastructure-as-code patterns using Terraform and Helm to provision and manage clusters
Create observability and monitoring systems with Prometheus and Grafana to surface cluster health and performance metrics
Build and optimize container networking with Cilium for network security and observability
Design and implement federated Kubernetes architectures for multi-cluster management
Build automation tooling to reduce operational overhead for developers running production workloads
Technical Skills Required
Benefits & Perks
Salary: $150,000 – $200,000 USD annually
Visa sponsorship available
On-site role based in San Francisco, CA
Nice to Have
Experience with distributed storage solutions such as Ceph or WEKA
Experience with service mesh technologies (Istio, Linkerd) or CNI plugins
Contributions to Kubernetes ecosystem tools or open-source projects
Job Description
About The Role
Join an early-stage cloud-native startup building a next-generation platform that abstracts Kubernetes complexity while preserving its full power. As a Platform Engineer, you'll work closely with the founding team to design core platform features, GitOps workflows, and the infrastructure layer that makes multi-cluster management intuitive for developers. This is a high-impact, early-team opportunity where your contributions will directly shape the product and architecture.
What You'll Do
- Build and extend core platform features using Go, including custom Kubernetes operators and controllers.
- Design and implement GitOps workflows with ArgoCD to streamline and automate continuous deployment.
- Develop infrastructure-as-code patterns using Terraform and Helm to provision and manage clusters.
- Work on distributed storage solutions using Ceph and WEKA for high-performance, scalable storage.
- Create observability and monitoring systems with Prometheus and Grafana to surface cluster health and performance metrics.
- Build and optimize container networking with Cilium for network security and observability.
- Design and implement federated Kubernetes architectures for multi-cluster management.
- Build automation tooling to reduce operational overhead for developers running production workloads.
- Contribute to open-source components and help establish platform architecture patterns as an early team member.
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Required:
- 2+ years of software development experience.
- Proficiency in Go and Kubernetes, with hands-on experience building developer tools or infrastructure products.
- Experience with ArgoCD and CI/CD pipelines and automation workflows.
- Familiarity with cloud platforms (AWS, GCP, Azure) and their managed Kubernetes offerings.
- Experience with containerization, networking, and cloud-native architectures.
- Self-directed, hungry to learn, and comfortable operating with autonomy.
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- Experience with distributed storage solutions such as Ceph or WEKA.
- Experience with Terraform, Helm, Ansible, or Kubespray for infrastructure provisioning and orchestration.
- Background with service mesh technologies (Istio, Linkerd) or CNI plugins.
- Contributions to Kubernetes ecosystem tools or open-source projects.
Interested in opportunities specifically in United State? Discover our dedicated Visa Sponsorship Jobs in United State page featuring roles from top employers in this location.
- Salary: $150,000 – $200,000 USD annually
- Visa sponsorship available
This is an on-site role based in San Francisco, CA. Candidates must be willing and able to work in person in San Francisco.
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