Site Reliability Engineer 2

Responsibilities

• Operate and scale
• Kong’s global SaaS platform (Konnect), ensuring reliability, availability, and performance across regions and clouds.
• Build, automate, and maintain
• and deployment workflows using
• Design, maintain, and optimize
• to automate service delivery and ensure consistent infrastructure changes.
• Enhance
• through systems like

Requirements

• BS in Computer Science
• or equivalent practical experience.
• Deep expertise in
• Kubernetes, including debugging cluster/networking issues and designing for fault tolerance and scalability.
• Strong proficiency with

Preferred

• Kong Mesh, or similar service connectivity technologies.

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.

Terraform/Terragrunt

Helm, and

ArgoCD 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 observability and incident response readiness

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

Proven experience managing

• SaaS or PaaS systems at enterprise scale (multi-region, multi-tenant, secure environments).
• Infrastructure as Code tools like

Terraform

or

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

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