Site Reliability Engineer 2

Job Overview

Application

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:

You will be responsible for contributing to a team that is building and maintaining workflows that automate releasing, testing and deploying products. Improving staging and production environments for SaaS distributions. Research and build monitoring/analyze tools to optimize building and deploying code-base, manage distributed systems and application resources. You will build workflows for delivering our software to a variety of platforms including AWS, GCP, Azure, and container technologies like Docker and Kubernetes to automate deployment and scale our products.

What you'll bring:

• BS degree in Computer Science, similar technical field of study or equivalent practical experience.
• Located in Singpaore.
• Experience with continuous/rapid release engineering (CI/CD).
• \"Infrastructure as Code\" configuration management systems such as Terraform, Chef, Puppet or Ansible.
• Experience with Apache Kafka.
• Experience building and administering alerting and monitoring systems for API services.
• Strong knowledge of Linux/Unix systems.
• Knowledge of one or more mainstream programming languages (Go, C/C++, Python).
• Strong skills in network services such as DNS, TLS/SSL, HTTP.
• Experience working in a 24/7/365 service environment.
• Debugging Kubernetes clusters, issues, and networking problems.
• Design, implement, manage and orchestrate Kubernetes container clusters.
• Any additional tasks required by manager.

Bonus Points:

• Experience implementing secure and highly available distributed systems/ microservices.
• Working knowledge of CSP networking solutions AWS (Transit Gateway, Direct Connect, VPC peering, VPN), Azure (Azure VNet ) and GCP (Network Connectivity Center).
• Professional experience managing production software in AWS.
• Experience with PostgreSQL in multi-region configuration.
• Experience with Datadog, ElasticSearch, Prometheus, Grafana.
• Experience with Redis in multi-region configuration.

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.