Service Mesh Engineer

Bright Vision Technologies•Hoffman Estates, IL
•$95,000 - $115,000•Remote

About The Position

Bright Vision Technologies is seeking a Service Mesh Engineer to design, deploy, and operate service mesh platforms, primarily Istio and Linkerd, for secure, observable, and reliable service-to-service communication across its Kubernetes estate. The role focuses on platform engineering, mesh adoption, mutual TLS (mTLS), traffic policy, and helping application teams benefit from a service mesh without unnecessary complexity. The ideal candidate has production service-mesh operations experience, a deep understanding of Envoy and the data plane, and a pragmatic approach to platform engineering and adoption.

Requirements

  • Bachelor’s degree in Computer Science or a related field.
  • Five or more years of experience 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.
  • The posting lists 7+ years of experience in its position details.

Nice To Haves

  • Experience with multi-cluster Istio or Linkerd deployments.
  • Familiarity with Cilium service mesh and eBPF networking.
  • Open-source contributions to service mesh projects.
  • Experience with SPIFFE/SPIRE for workload identity.
  • Exposure to zero-trust networking initiatives at enterprise scale.

Responsibilities

  • Design, deploy, and operate service mesh platforms, primarily Istio and Linkerd.
  • Support secure, observable, and reliable service-to-service communication across Kubernetes environments.
  • Focus on platform engineering, mesh adoption, mTLS, and traffic policy.
  • Help application teams adopt and benefit from a service mesh without unnecessary complexity.
  • Troubleshoot issues across networking, application, and control plane layers.
  • Develop tooling and automation using Go or Python.
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