Remote Cloud Networking Engineer (Istio/Linkerd)

Bright Vision Technologies

Plymouth (MN)

Remote

USD 100,000 - 150,000

Full time

3 days ago
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Job summary

Bright Vision Technologies seeks a Cloud Networking Engineer to design, deploy, and operate Istio and Linkerd service meshes across a Kubernetes estate. The role focuses on platform engineering, mesh adoption, mTLS, traffic policy, and helping application teams reap the benefits of a mesh without paying for unnecessary complexity.

The ideal candidate has production experience with service meshes, a deep understanding of Envoy and the data plane, and applies pragmatic adoption strategies while

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • 5+ years in platform engineering, SRE, or networking roles.
  • Hands-on production experience with Istio or Linkerd.
  • Strong knowledge of Envoy proxy internals and config.
  • Deep Kubernetes expertise: networking, CNI, and ingress.
  • Understanding of mTLS, PKI, cert lifecycle management.
  • Experience with distributed tracing and observability for mesh traffic.
  • Proficiency in Go or Python for tooling/automation.
  • Strong troubleshooting across networking, app, and control plane.
  • Excellent communication and collaboration skills.

Responsibilities

  • Design, deploy, and operate service mesh platforms across Kubernetes estate.
  • Collaborate with application teams to adopt mesh while controlling complexity.

Skills

Platform engineering
SRE experience
Istio/Linkerd
Envoy internals
Kubernetes networking
mTLS PKI
Observability
Go or Python
Troubleshooting
Communication

Education

Bachelor's degree in Computer Science

Tools

Istio
Linkerd
Envoy
Kubernetes
Cilium
eBPF
SPIFFE/SPIRE

Job description

Bright Vision Technologies seeks a Cloud Networking Engineer to design, deploy, and operate Istio and Linkerd service meshes across a Kubernetes estate. The role focuses on platform engineering, mesh adoption, mTLS, traffic policy, and helping application teams reap the benefits of a mesh without paying for unnecessary complexity.

The ideal candidate has production experience with service meshes, a deep understanding of Envoy and the data plane, and applies pragmatic adoption strategies while

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