Site Reliability Engineer 2

Ovii's Interpretation of the Role

The Site Reliability Engineer 2 will design, build, and operate automated release pipelines and Kubernetes‑based infrastructure for Kong's SaaS API platform. The role emphasizes reliability, monitoring, and 24/7 operations across multi‑cloud environments.

Role Snapshot

• Automate CI/CD pipelines for SaaS releases
• Design and manage Kubernetes clusters
• Develop monitoring and alerting systems
• Implement infrastructure as code (Terraform, Chef, etc.)
• Support 24/7 production services
• Deploy across AWS, Azure, GCP and container platforms

Must-Have Requirements

• CI/CD
• Infrastructure as Code (Terraform, Chef, Puppet, Ansible)
• Apache Kafka
• Linux/Unix
• Kubernetes
• Programming languages (Go, C/C++, Python)
• Network services (DNS, TLS/SSL, HTTP)
• Monitoring/alerting systems for API services
• 24/7 service environment experience
• Infrastructure as Code
• 24/7 service operations
• Monitoring/alerting for API services
• BS degree in Computer Science or similar technical field
• Must be located in Singapore
• BS degree in Computer Science or equivalent

Nice-to-Have Signals

• Secure, highly available distributed systems design
• Cloud networking solutions (AWS Transit Gateway, Direct Connect, VPC peering, VPN; Azure VNet; GCP Network Connectivity Center)
• Production software management in AWS
• PostgreSQL multi‑region configuration
• Datadog, ElasticSearch, Prometheus, Grafana
• Redis multi‑region configuration
• Any additional tasks required by manager
• Secure distributed systems
• Cloud networking
• Multi‑region databases
• Observability tooling

Work Setup

• Location: Singapore, Singapore
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Certifications
• Relocation
• Travel
• Security clearance
• Coding test

What You'll Likely Work On

• Create and improve automated release pipelines for SaaS products
• Build, scale, and troubleshoot Kubernetes container clusters
• Develop and maintain monitoring, alerting, and observability tooling for API services
• Implement infrastructure as code using Terraform, Chef, Puppet, or Ansible
• Support 24/7/365 production environments across multi‑cloud infrastructure
• Collaborate with engineering teams to optimize deployment workflows

Good Fit If You Have

• Strong Linux/Unix administration experience
• Hands‑on experience with CI/CD and IaC tools
• Familiarity with cloud networking and Kubernetes troubleshooting
• Experience in high‑availability, distributed systems
• Comfort working in a 24/7 on‑call environment