Job Overview
Location
San Francisco
Job Type
Full-time
Category
Engineering
Date Posted
August 18, 2026
Full Job Description
đź“‹ Description
- • Join an early-stage, venture-backed AI infrastructure startup building a next-generation, GitOps-native distributed operating system on top of Kubernetes.
- • As a Platform Engineer, you'll work directly alongside the founding team to design and build the core platform that abstracts Kubernetes complexity while preserving its power — enabling teams to go from bare metal to production AI clusters in days, not months.
- • This is a high-impact, hands-on role at a small (2–10 person) company with meaningful open-source components.
- • You'll shape architecture decisions, establish engineering patterns, and contribute to a product used by GPU-intensive AI inference and training workloads at scale.
- • Build and extend core platform features in Go, including custom Kubernetes operators and controllers.
- • Design and implement GitOps workflows with ArgoCD to make continuous deployment seamless and automatic.
- • 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 cluster storage.
- • Create observability and monitoring systems with Prometheus and Grafana to surface cluster health and performance.
- • 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 that reduces operational overhead for developers running production workloads.
- • Contribute to open-source components and establish platform architecture patterns as an early team member.
🎯 Requirements
- • Strong foundational engineering talent — we prioritize aptitude and hunger to learn over years of specific experience.
- • Proficiency in Go and hands-on Kubernetes experience (operators, CRDs, controllers).
- • Experience with distributed storage solutions such as Ceph and/or WEKA.
- • Experience with ArgoCD and CI/CD pipeline automation.
- • Comfort with Terraform, Helm, and related infrastructure provisioning tools.
- • Self-directed, strong communicator, and able to prioritize independently in a fast-moving environment.
- • Ability to work on-site in San Francisco, CA.
🏖️ Benefits
- • Salary: $150,000 – $200,000 USD annually
- • Early-stage equity
- • Visa sponsorship available
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Clera
Clera, Inc. operates as an AI Talent Agent, leveraging artificial intelligence to enhance and streamline various aspects of the talent acquisition and management process. The company's core offering appears to center on an AI-powered platform designed to connect skilled individuals with suitable opportunities or to assist organizations in efficiently sourcing and evaluating candidates. While comprehensive details regarding specific features, target industries, or the scale of its operations are not yet publicly available, the current online presence indicates that Clera's services are actively being prepared for launch. This suggests an upcoming introduction of innovative AI solutions aimed at optimizing the ecosystem where talent meets demand.
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