Site Reliability Engineer
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At a glance
Job overview
Kong is hiring a Site Reliability Engineer. Kong’s Site Reliability Engineering team builds and operates the large‑scale cloud infrastructure that powers critical customer applications, aiming for world‑class reliability and performance. The role focuses on infrastructure as code, monitoring, incident response, automation, capacity planning, disaster recovery, and security hardening while collaborating with engineering teams to embed reliability practices throughout the development lifecycle.
Key focus areas include Build and maintain core infrastructure as code using Terraform and Ansible., Implement robust monitoring, logging, and alerting systems to achieve 99.99% uptime., and Resolve production incidents through systematic debugging and lead blameless post‑mortems..
Successful candidates bring Hands-On Experience With Containerization And Orchestration Technologies. Important skills include Terraform, Python, Bash, Docker, Kubernetes, and Infrastructure as Code. Preferred (not required): Ansible, Monitoring, Logging, and Alerting.
Skills & qualifications
Skills
Qualifications
Full job description
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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:
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Build and maintain our core infrastructure as code using tools like Terraform and Ansible.
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Implement robust monitoring, logging, and alerting systems to ensure our services meet and exceed 99.99% uptime.
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Resolve production incidents through systematic debugging, and drive the blameless post-mortem process to prevent recurrence.
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Write automation to reduce operational toil, improve system efficiency, and enable self-service for engineering teams.
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Collaborate with developers to embed reliability and scalability best practices directly into the application lifecycle.
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Contribute to our capacity planning, disaster recovery drills, and security hardening processes.
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Participate in a fair and sustainable on-call rotation to ensure our platform is always available.
What You’ll Bring:
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Experience operating production workloads on a major cloud provider (AWS, GCP, Azure).
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Proficiency in at least one programming or scripting language, such as Golang, Python, or Bash.
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Hands-on experience with containerization and orchestration technologies (Docker, Kubernetes).
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Knowledge of Infrastructure as Code principles and tools (Terraform is a plus).
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Familiarity with CI/CD concepts and pipeline tools (e.g., GitLab CI, Jenkins).
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An understanding of modern observability stacks (e.g., Prometheus, Grafana, ELK).
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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 .
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