Responsible for the design, development, modification, and support of RingCentral's infrastructure and infrastructure solutions. Duties include:
Design and implement containerized infrastructure with automation for deployment of large-scale clusters in cloud and on-premise environments; Developing infrastructure solutions, including DNS, package and image repositories, mail relays, and NTP; Build and maintain deployment packages and automation tools for consistent application delivery Providing ongoing support for production environment, including delivering changes, troubleshooting, managing issues, root cause analysis, and post-mortems; Research, design, and integrate Kubernetes-based technologies to improve performance, security, and scalability of infrastructure systems; Developing a company-wide service to manage infrastructure systems using Golang and Python. Integrate current systems with that service; Developing AI solution for the internal company needs and customer-facing services; Design and implement integration with Google Cloud Virtual Machines; Perform capacity planning, performance optimization, and scalability improvements for distributed infrastructure systems; Managing and provisioning computer data center resources through infrastructure as a code (IaaC) using Terraform; Developing production stability improvements through monitoring, designing process improvements, and developing automation features; Developing and utilizing CI/CD processes; Designing automated software and product upgrades, change management, and release management solutions; Continuously improving and sharing knowledge of systems and infrastructure and producing updated documentation; Assisting with deployment shifts as needed.
Required skills/tools: Experience with Linux, Windows Server, Amazon Web Services (AWS), Google Cloud, Docker, Kubernetes, GIT, Python, TCP/IP, DHCP, DNS, Terraform, Ansible, Spinnaker, Gitlab, Golang, VMWare, Postgres, Mongo, Django, Jenkins and SRE/DevOps practices is required.
Education/experience/qualifications: U.S. Master of Science degree or foreign academic equivalent degree in Computer Science, Electronic Engineering or related field plus two (2) years of relevant, progressive experience is required. U.S. Bachelor of Science degree or foreign academic equivalent degree in Computer Science, Electronic Engineering or related field plus five (5) years of relevant, progressive experience is also acceptable. Within the foregoing parameters, any suitable combination of education, training & experience is acceptable.