Principal Golang Architect - Remote - 12+ Months

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?