Role overview

Kong is seeking a Site Reliability Engineer 2 to join its global Platform SRE team. You’ll be responsible for building, operating, and scaling Kong’s multi-region SaaS platform (Konnect) that delivers API connectivity to thousands of customers. This hands-on role focuses on running production systems across AWS, GCP, and Azure while automating operations and continuously improving performance and resilience.

Key responsibilities

Operate and scale Kong’s global SaaS platform to ensure reliability, availability, and performance across multiple regions and cloud providers.
Build and maintain Kubernetes-based infrastructure and deployment workflows using tools such as Terraform, Terragrunt, Helm, and ArgoCD.
Design and optimize multi-region data and caching layers including PostgreSQL, Redis, ClickHouse, and Druid for high availability and low latency.
Operate Kong Gateway and Kong Mesh environments that support hybrid and distributed system architectures.
Develop and maintain CI/CD pipelines and GitOps workflows to automate service delivery and ensure consistent infrastructure changes.
Enhance observability and incident response capabilities using Datadog, Prometheus, Grafana, and Thanos while defining and tracking SLOs.
Participate in a global 24/7 on-call rotation, collaborate with development and security teams, and drive continuous improvement of operational playbooks and postmortem practices.

Requirements

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

What makes this role worth considering

This position offers the opportunity to work on a foundational platform serving the Fortune 500 and AI-native startups. You’ll collaborate with a global team across multiple cloud environments and tackle scaling challenges that impact thousands of customers worldwide.