SRE Senior Software Engineer
Insomnia, Canada
Confirmed live in the last 24 hours
Kong

501-1,000 employees

Cloud-based API infrastructure platform
Company Overview
Kong mission is to build bleeding edge API technologies to enable the connected world, which our digital lives depend on. Kong simplifies connecting APIs and microservices in multi-cloud environments, powering trillions of API transactions for global organizations with its end-to-end API platform.

Company Stage

Series D

Total Funding

$178.3M

Founded

2017

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

5%

1 year growth

9%

2 year growth

22%
Locations
Toronto, ON, Canada
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Chef
Kubernetes
Microsoft Azure
Python
Apache Kafka
Docker
AWS
Terraform
Ansible
Linux/Unix
Google Cloud Platform
CategoriesNew
Backend Engineering
IT & Support
Security Engineering
Software Engineering
Requirements
  • BS degree in Computer Science, similar technical field of study or equivalent practical experience
  • Experience with continuous/rapid release engineering (CI/CD)
  • Experience with "Infrastructure as Code" configuration management systems such as Terraform, Chef, Puppet or Ansible
  • Experience with Apache Kafka
  • Experience with GCP
  • 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
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 software to a variety of platforms
  • Automate deployment and scale products using AWS, Azure, and container technologies like Docker and Kubernetes