Site Reliability Engineer
Pubblicato il 25-09-2026 - Kong in Italia
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 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.
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.
Write automation to reduce operational toil, improve system efficiency, and enable self-service for engineering teams.
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.
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).
Prometheus, Grafana, ELK).
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