Kong

Senior Site Reliability Engineer, Kong Konnect

Rol remoto de Senior Site Reliability Engineer con fit claro de ubicación del candidato.

Publicado7 jul 2026

Países elegibles1 país aceptado

Señal de senioritySenior

Modelo de trabajoRemoto

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Actualidad de la fuente7 jul 2026

Fit de ubicación1 país aceptado

Match de stackAWS, Azure

Camino de aplicaciónSitio de la empresa

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Match de stackAgrega skills al perfil para compararAWS, Azure

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Preparación para aplicarSitio de la empresaLa aplicación continúa en el sitio de la empresa.

Aplicación

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Aplicando aSenior Site Reliability Engineer, Kong KonnectKong

Fit de país1 país aceptado

Camino de aplicaciónSitio de la empresa

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Resumen del rol

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Operate and scale Kong’s global SaaS platform (Konnect), ensuring reliability, availability, and performance across regions and clouds.
Build, automate, and maintain Kubernetes-based infrastructure and deployment workflows using Terraform/Terragrunt, Helm, and ArgoCD.
Design, maintain, and optimize multi-region data and caching layers — including PostgreSQL, Redis, ClickHouse, and Druid — for high availability and low latency.
Operate and improve Kong Gateway and Kong Mesh environments supporting hybrid and distributed architectures.
Develop and maintain CI/CD pipelines and GitOps workflows to automate service delivery and ensure consistent infrastructure changes.
Enhance observability and incident response readiness through systems like Datadog, Prometheus, Grafana, and Thanos, defining and tracking SLOs.
Collaborate closely with development and security teams to ensure smooth operation of SaaS services in compliance with reliability, security, and regulatory standards.
Participate in a global 24/7 on-call rotation and drive continuous improvement of operational playbooks and postmortem practices.
Lead and contribute to scaling initiatives that improve elasticity, reliability, and cost-efficiency across the SaaS platform.

BS in Computer Science or equivalent practical experience.
Proven experience managing SaaS or PaaS systems at enterprise scale (multi-region, multi-tenant, secure environments).
Deep expertise in Kubernetes, including debugging cluster/networking issues and designing for fault tolerance and scalability.
Strong proficiency with Infrastructure as Code tools like Terraform or Terragrunt.
Experience with CI/CD pipelines and GitOps workflows (ArgoCD, Atlantis, Helm).
Proficiency in one or more programming languages (Go, Python, Bash) for automation and tooling.
Solid understanding of Linux/Unix systems, networking (DNS, TLS/SSL, HTTP), load balancers and distributed systems.
Experiencing working with API gateway and service mesh technologies
Familiarity with streaming systems like Kafka and observability platforms (Datadog, Prometheus, Grafana).
Experience working in a 24/7/365 production support environment.

Hands-on experience with Kong Gateway, Kong Mesh, or similar service connectivity technologies.
Experience operating ClickHouse, Druid, or other time-series and analytics databases.
Experience managing PostgreSQL and Redis in multi-region configurations.
Working knowledge of AWS networking (PrivateLink, Transit Gateway, VPC Peering, Firewalls), Azure VNet, or GCP NCC.
Strong understanding of disaster recovery, resiliency testing, and compliance-driven reliability practices.

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