Site Reliability Engineer

09 ago - Roma
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Site Reliability Engineer at kong.

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About the role The Site Reliability Engineering team at Kong builds and manages the large-scale infrastructure for our cloud services. This role focuses on ensuring high reliability and performance for critical customer applications. You will contribute to maintaining uptime and supporting product development teams.

Key facts

Location: Milan, Italy Engagement: Full-time Compensation: Not provided Team: Site Reliability Engineering

What you'll do

Develop and maintain core infrastructure using Infrastructure as Code tools.

Implement and manage monitoring, logging, and alerting systems to achieve high uptime.

Troubleshoot and resolve production issues, then lead post-incident reviews to prevent future problems.

Create automation to reduce manual tasks, improve system efficiency, and enable self-service for other engineering teams.

Work with developers to integrate reliability and scalability practices throughout the application development process.

Contribute to capacity planning,



disaster recovery exercises, and security improvements.

Participate in an on-call rotation to ensure platform availability.

Requirements

Experience managing production systems on a major cloud platform (AWS, GCP, or Azure).

Skilled in at least one programming or scripting language, such as Golang, Python, or Bash.

Practical experience with containerization and orchestration technologies like Docker and Kubernetes.

Understanding of Infrastructure as Code principles.

Familiarity with CI/CD concepts and pipeline tools (e.g., GitLab CI, Jenkins).

Knowledge of modern observability stacks (e.g., Prometheus, Grafana, ELK).

Nice to have

Experience with Terraform.

Skills & tools

AWS, GCP, Azure

Golang, Python, Bash

Docker, Kubernetes

Terraform

GitLab CI, Jenkins

Prometheus, Grafana, ELK

Practical notes

Kong is building infrastructure for API and AI connectivity. xkiyazw The company's platform, Kong Konnect, helps organizations manage and secure intelligence flow across APIs and AI models.

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