Site Reliability Engineer 2
Operate and scale Kong’s multi-region SaaS platform across major cloud providers, Kubernetes, and distributed data systems. The role requires strong infrastructure automation, observability, CI/CD, and production reliability experience, with participation in a global on-call rotation.
About the job
Responsibilities
- Operate and scale Kong’s global, multi-region SaaS platform across AWS, Google Cloud, and Azure.
- Build and maintain Kubernetes-based infrastructure and deployment workflows using Terraform/Terragrunt, Helm, and ArgoCD.
- Design and optimize high-availability, low-latency data and caching layers, including PostgreSQL, Redis, ClickHouse, and Druid.
- Operate Kong Gateway and Kong Mesh environments supporting hybrid and distributed architectures.
- Develop CI/CD pipelines and GitOps workflows for consistent service delivery and infrastructure changes.
- Improve observability and incident response using Datadog, Prometheus, Grafana, and Thanos; define and track SLOs.
- Collaborate with development and security teams to meet reliability, security, and regulatory standards.
- Participate in a global 24/7 on-call rotation and improve operational playbooks and postmortem practices.
- Lead scaling initiatives that improve elasticity, reliability, and cost efficiency.
Requirements
- Bachelor’s degree in Computer Science or equivalent practical experience.
- Experience managing enterprise-scale SaaS or PaaS systems in multi-region, multi-tenant, secure environments.
- Deep Kubernetes expertise, including cluster and networking troubleshooting and fault-tolerant, scalable design.
- Strong proficiency with Terraform or Terragrunt.
- Experience with CI/CD pipelines and GitOps workflows, including ArgoCD, Atlantis, or Helm.
- Proficiency in Go, Python, or Bash for automation and tooling.
- Understanding of Linux/Unix systems, DNS, TLS/SSL, HTTP, load balancers, and distributed systems.
- Experience with API gateway and service mesh technologies.
- Familiarity with Kafka and observability platforms such as Datadog, Prometheus, and Grafana.
- Experience in a 24/7/365 production support environment.
Nice-to-Haves
- 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.
- Knowledge of AWS networking, Azure VNet, or Google Cloud Network Connectivity Center.
- Understanding of disaster recovery, resiliency testing, and compliance-driven reliability practices.
Skills
Kubernetes, Terraform, Terragrunt, Helm, Argo CD, CI/CD, GitOps, Go, Python, Bash, Linux, AWS, GCP, Azure, Postgres
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