Site Reliability Engineer 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.

#LI-KC1

About Kong

Kong Inc., the AI Connectivity Company, is building the connectivity layer of AI. Trusted by the Fortune 500® and AI-native startups alike, Kong’s unified API and AI platform enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI traffic — on any model, any cloud. For more information, visit www.konghq.com

.