SRE 2

**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. **About Kong:** Kong Inc., a leading developer of API and AI connectivity technologies, is building the infrastructure that powers the agentic era. Trusted by the Fortune 500 and startups alike, Kong's unified API and AI platform, Kong Konnect, enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI models. For more information, visit [www.konghq.com](http://www.konghq.com).