Site Reliability Engineer 2

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.

Responsibilities

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.; 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.; Any additional tasks required by manager.

Requirements

BS degree in Computer Science, similar technical field of study or equivalent practical experience.; Located in Singapore.; 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.

Nice to have

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.