Site Reliability Engineer 2

Kong; Washington; Hybrid; USD 140,000 - 210,000; Full time

Job summary

Kong Inc. is seeking a Site Reliability Engineer to join the global Platform SRE team responsible for building, operating, and scaling Kong’s multi-region SaaS platform.

You’ll design, automate, and run production systems serving thousands of customers across AWS, GCP, and Azure. You’ll work on multi-region Kubernetes clusters, service mesh and gateway architectures, ensuring reliability, scalability, and security of Kong’s SaaS offerings.

Qualifications

• 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.

Responsibilities

• Operate and scale Kong’s global SaaS platform (Konnect), ensuring reliability across regions.
• Build, automate, and maintain Kubernetes-based infrastructure with Terraform/Terragrunt, Helm, and ArgoCD.
• Design, maintain, and optimize multi-region data and caching layers (PostgreSQL, Redis, ClickHouse, Druid).
• Operate and improve Kong Gateway and Kong Mesh environments.
• Develop and maintain CI/CD pipelines and GitOps workflows.
• Enhance observability and incident response with Datadog, Prometheus, Grafana, Thanos; define SLOs.
• Collaborate with development and security for reliability, security, and regulatory standards.
• Participate in a 24/7 on-call rotation and improve playbooks and postmortems.
• Lead scaling initiatives for elasticity, reliability, and cost-efficiency.

Skills

Kubernetes

Go

Python

Bash

Terraform

Terragrunt

Helm

ArgoCD

GitOps

CI/CD

Linux

Networking

API gateway

Service mesh

Kafka

Datadog

Prometheus

Grafana

Thanos

On-call

Education

BS in CS

Tools

PostgreSQL

Redis

ClickHouse

Druid

Kubernetes

Terraform

Terragrunt

ArgoCD

Helm

Datadog

Prometheus

Grafana

Job description

Are you ready to unlock intelligence?

Are you ready to unlock intelligence?

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.