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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.
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.
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.
This role is published on Kong's own careers page and is listed here so European professionals can find it. Applications are handled by the employer directly, with no third party in between.
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