Staff Site Reliability Engineer - (Remote)

Kong

San Francisco, CA, US
  • Job Type: Full-Time
  • Function: IT
  • Post Date: 03/29/2021
  • Website: konghq.com
  • Company Address: 251 Post St, 2nd Floor, San Francisco, CA, 94108

About Kong

Kong Inc. is a cloud connectivity company. Powering connections to build a reliable world.

We are best known as the creator and primary supporter of Kong, the most widely adopted open-source Microservice API gateway. We’re backed by a16z, Index Ventures, CRV, Jeff Bezos (Amazon), Eric Schmidt (Google), Stanford University, NEA and many others.

Job Description

About the role:

You will be responsible for leading a team that is building and maintaining workflows that automate releasing, testing and deploying Kong Cloud 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, Swarm, Mesosphere and Kubernetes to automate deployment and scale our products.

What you bring:

        BS degree in Computer Science, similar technical field of study or equivalent practical experience
        Minimum of 8 years of relevant work experience
        Minimum of 3 years of leading/mentoring a team
        Experience with continuous/rapid release engineering (CI/CD)
        "Infrastructure as Code" configuration management systems such as Terraform, Chef, Puppet or Ansible
        Experience building and administering alerting and monitoring systems for API services
        Strong knowledge of PostgreSQL/MySQL and Linux/Unix systems
        Knowledge of one or more mainstream programming languages (Go, C/C++, Python, PHP)
        Strong skills in network services such as DNS, TLS/SSL, HTTP
        Experience working in a 24/7/365 service environment

Bonus Points:

        Experience implementing secure and highly-available distributed systems/microservices
        Performance analysis and debugging with tools like perf, sar, strace, dtrace
        Time series databases (OpenTSDB, Graphite, Prometheus, Grafana)
        Design, implement, manage and orchestrate container clusters

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.