Senior Site Reliability Engineer, Kong

• 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
• 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
• 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

Desirable

• 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
• 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