Remote Cloud Networking Engineer Istio/Linkerd Expert

Bright Vision Technologies

United States

Remote

USD 100,000 - 150,000

Full time

3 days ago
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Job summary

Bright Vision Technologies is seeking a Cloud Networking Engineer to design, deploy, and operate service mesh platforms such as Istio and Linkerd across a Kubernetes estate. The role focuses on platform engineering, mesh adoption, mTLS, traffic policy, and enabling application teams to reap the benefits of a mesh without added complexity.

The ideal candidate will have production experience with service mesh, deep Envoy data-plane knowledge, and a pragmatic approach to adoption, operational

Qualifications

  • Bachelor’s degree in Computer Science or related field.
  • Five+ years in platform engineering, SRE, or networking roles.
  • Hands-on experience operating Istio or Linkerd in production.
  • Strong understanding of Envoy proxy internals and configuration.
  • Deep Kubernetes expertise including networking, CNI, and ingress.
  • Strong understanding of mTLS, PKI, and certificate lifecycle management.
  • Experience with distributed tracing and observability for mesh traffic.
  • Proficiency in Go or Python for tooling and automation.
  • Strong troubleshooting skills across networking, application, and control plane layers.
  • Excellent communication and collaboration skills.

Skills

Platform engineering
SRE
Networking
Go
Python
Troubleshooting
Communication

Education

Bachelor’s degree in Computer Science

Tools

Istio
Linkerd
Envoy
Kubernetes
CNI
Ingress
SPIFFE/SPIRE
Cilium service mesh

Job description

Bright Vision Technologies is seeking a Cloud Networking Engineer to design, deploy, and operate service mesh platforms such as Istio and Linkerd across a Kubernetes estate. The role focuses on platform engineering, mesh adoption, mTLS, traffic policy, and enabling application teams to reap the benefits of a mesh without added complexity.

The ideal candidate will have production experience with service mesh, deep Envoy data-plane knowledge, and a pragmatic approach to adoption, operational

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