Site Reliability Engineer

Kong; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Kong Inc. is seeking a Site Reliability Engineer to strengthen the backbone of our cloud services.

You will build, operate, and automate infrastructure to enable reliability and velocity, working with product engineers to embed best practices throughout the lifecycle. The role requires hands-on cloud, container, and observability expertise, with a focus on incident response, automation, and scalable infrastructure in a dynamic environment.

Qualifications

• Experience operating production workloads on major cloud providers (AWS, GCP, or Azure).
• Proficiency in at least one programming or scripting language (Golang, Python, or Bash).
• Hands-on experience with Docker and Kubernetes for containerized workloads.
• Knowledge of Infrastructure as Code (Terraform preferred).
• Familiarity with CI/CD concepts and tools (GitLab CI, Jenkins).
• Understanding of modern observability stacks (Prometheus, Grafana, ELK).

Responsibilities

• Build and maintain infrastructure as code to support scalable cloud services.
• Implement monitoring, logging, and alerting to meet uptime targets.
• Diagnose production incidents and drive blameless post-mortems.
• Write automation to reduce toil and enable self-service for engineers.
• Collaborate with developers to bake reliability into the product lifecycle.
• Participate in capacity planning, DR drills, and security hardening.
• Contribute to a fair on-call rotation to ensure platform availability.

Skills

Cloud platforms

Golang

Python

Bash

Observability

Tools

Docker

Kubernetes

Terraform

GitLab CI

Jenkins

Prometheus

Grafana

ELK

Job description

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.

The Mission

The Site Reliability Engineering team is the backbone of Kong’s cloud services, responsible for architecting and operating the large-scale infrastructure that powers our customers’ most critical applications. Our mission is to achieve world-class reliability and performance, enabling our product engineering teams to ship features with velocity and confidence. We are the guardians of uptime and the champions of developer delight.

What You’ll Do

• Build and maintain our core infrastructure as code using tools like Terraform and Ansible.
• Implement robust monitoring, logging, and alerting systems to ensure our services meet and exceed 99.99% uptime.
• Resolve production incidents through systematic debugging, and drive the blameless post-mortem process to prevent recurrence.
• Write automation to reduce operational toil, improve system efficiency, and enable self-service for engineering teams.
• Collaborate with developers to embed reliability and scalability best practices directly into the application lifecycle.
• Contribute to our capacity planning, disaster recovery drills, and security hardening processes.
• Participate in a fair and sustainable on-call rotation to ensure our platform is always available.

What You’ll Bring

• Experience operating production workloads on a major cloud provider (AWS, GCP, Azure).
• Proficiency in at least one programming or scripting language, such as Golang, Python, or Bash.
• Hands-on experience with containerization and orchestration technologies (Docker, Kubernetes).
• Knowledge of Infrastructure as Code principles and tools (Terraform is a plus).
• Familiarity with CI/CD concepts and pipeline tools (e.g., GitLab CI, Jenkins).
• An understanding of modern observability stacks (e.g., Prometheus, Grafana, ELK).

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.