Role: Principal Golang Architect
Location: Menlo Park, CA (Remote)
Duration: 12 Month Contract
Duration: 12+ Months
Position Overview:
We are looking for a highly specialized Principal Cloud-Native Architect with strong hands-on expertise
in Golang, Kubernetes, AWS, EKS(Elastic Kubernetes Service), and distributed systems. Please submit candidates who have built and
architected enterprise-scale cloud-native platforms-not candidates with only application deployment
or basic Kubernetes administration experience.
Must-Have Skills:
12+ years overall software/IT experience.
Strong hands-on Golang/Go development and Architecture.
Strong experience with Docker, Helm, CI/CD, GitOps and infrastructure automation.
Experience with Prometheus, Grafana, OpenTelemetry or enterprise observability.
Agentic AI, RAG, MCP/LLM integration with cloud-native platforms is Required.
Expert-level Kubernetes engineering.
Hands-on Kubernetes Operators, Controllers, CRDs, Kubebuilder, Controller-Runtime/Operator SDK.
Strong AWS / EKS architecture experience.
Enterprise distributed systems and microservices architecture.
Experience with Kubernetes multi-cluster / federation is highly preferred.
Strong understanding of scalability, resiliency, fault tolerance, high availability and production troubleshooting.
Istio/Envoy, Kafka, Terraform, ArgoCD are strongly preferred.
Pre-Screening Questions
Q1: Does the candidate have strong hands-on experience developing and architecting enterprise-scale applications/platforms using Golang (Go), Kubernetes, and cloud-native technologies, rather than only application deployment or basic Kubernetes administration?
Q2: Does the candidate have hands-on expert-level Kubernetes engineering experience, including Operators, Controllers, CRDs, Kubebuilder, Controller-Runtime, or Operator SDK?
Q3: Does the candidate have hands-on experience architecting AWS/EKS-based enterprise distributed systems and microservices, including scalability, resiliency, fault tolerance, high availability, and production troubleshooting?
Q4: Does the candidate have hands-on experience integrating Agentic AI, RAG, MCP, or LLM-based capabilities with cloud-native platforms or distributed systems?