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.

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 http://www.konghq.com.