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Kong Service Mesh Engineer

0 years

0 Lacs

india

Posted:4 days ago| Platform: Linkedin logo

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Skills Required

service design support microservices networking api management kubernetes devops communication discovery routing circuit monitoring logging jaeger drive security migration documentation training development helm docker integration programming scripting python aws azure troubleshooting latency linkerd jwt devsecops certifications

Work Mode

On-site

Job Type

Full Time

Job Description

Position Overview

Kong Service Mesh Engineer/Architect

Key Responsibilities

  • Design, deploy, and manage

    Kong Service Mesh

    for Kubernetes and hybrid environments (VMs, bare metal, multi-cloud).
  • Implement

    mTLS, service discovery, traffic routing, retries, circuit breaking, and observability

    policies within the mesh.
  • Collaborate with the API Gateway team to integrate

    Kong API Gateway

    with Kong Service Mesh for north-south and east-west traffic management.
  • Define and enforce

    zero-trust networking policies

    across microservices.
  • Troubleshoot and optimize

    service-to-service communication

    using Envoy sidecar proxies.
  • Implement monitoring, logging, and tracing solutions (Prometheus, Grafana, Jaeger, ELK, etc.).
  • Drive adoption of

    best practices for microservices networking, security, and resilience

    .
  • Support migration of applications from

    monoliths or non-mesh architectures

    to Kong Service Mesh.
  • Provide technical guidance, documentation, and training to DevOps and development teams.

Required Skills & Qualifications

  • Strong experience with

    Kong Service Mesh (Kuma) and Envoy proxy

    .
  • Hands-on experience with

    Kubernetes (K8s), Helm, Docker, and CI/CD pipelines

    .
  • Knowledge of

    service mesh concepts

    (mTLS, traffic routing, observability, zero trust, multi-zone).
  • Familiarity with

    Kong API Gateway

    and its integration with service mesh.
  • Expertise in

    networking, security policies, and distributed systems

    .
  • Experience with

    monitoring & observability tools

    (Prometheus, Grafana, Jaeger, OpenTelemetry).
  • Programming/scripting experience (Go, Python, Bash, or similar).
  • Good understanding of

    cloud platforms (AWS, Azure, GCP)

    and hybrid deployments.
  • Strong troubleshooting skills for

    service-to-service latency, resiliency, and security

    issues.

Preferred Qualifications

  • Experience with

    other service meshes

    (Istio, Linkerd, Consul Connect).
  • Knowledge of

    API security (OAuth2, JWT, OPA, RBAC/ABAC)

    .
  • Experience in

    DevSecOps and SRE practices

    .
  • Certifications in

    Kubernetes (CKA/CKAD/CKS)

    or

    cloud certifications

    .

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