# Site Reliability Engineer 2 at Kong Site Reliability Engineer 2 at Kong in Washington, United States. Remote, full-time, paying $123k–$150k. Posted October 1, 2026. - Company: Kong - Location: Washington, United States - Workplace: Remote - Job type: Full-time - Pay: $123k–$150k - Posted: 2026-10-01 - Apply: https://jobs.ashbyhq.com/kong/7ae8b357-a8f0-4c3d-868d-add1789de7ff/application - Source: https://jobmagic.ai/jobs/site-reliability-engineer-2-kong-1dm916 ## Requirements - 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. ## Description **Are you ready to unlock intelligence?** If you don’t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we’re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others. **Are you ready to unlock intelligence?** If you don’t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we’re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.  **About the Role:** As a **Site Reliability Engineer**, you’ll join the global Platform SRE team responsible for **building, operating, and scaling Kong’s multi-region SaaS platform** that powers the world’s API connectivity. You’ll design, automate, and run production systems serving thousands of customers across AWS, GCP, and Azure. You’ll work on everything from **multi-region Kubernetes clusters** to **service mesh and gateway architectures**, ensuring the reliability, scalability, and security of Kong’s SaaS offerings. This is a hands-on role ideal for engineers who thrive on **running production SaaS systems at scale**, automating operations, and continuously improving performance, resilience, and deployment pipelines.  **What You’ll Do:** - 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.   **What You’ll Bring:** - **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.  **Bonus Points:** - 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. #LI-KC1 **About Kong:** Kong Inc., the AI Connectivity Company, is building the connectivity layer of AI. Trusted by the Fortune 500® and AI-native startups alike, Kong’s unified API and AI platform enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI traffic — on any model, any cloud. For more information, visit www.konghq.com.