Principal Golang Architect - Remote - 12+ Months

TMS LLC
Menlo Park, CA, United States
14 days ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Amazon Web Services Cloud Engineering Continuous Integration Distributed Systems Fault Tolerance Octopus Deploy Prometheus Software Deployment Systems Integration Cloud Platform System Istio System Availability
+12 more
Large Language Models Grafana Containerization Git Flow Kubernetes Infrastructure Automation Frameworks Apache Kafka Virtual Agents Terraform Docker Golang Microservices

Requirements

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?

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