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Site Reliability Engineer

Pubblicato il 03-09-2026 - Kong in Milano

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: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 observabil

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