The client is a telecommunications company.

The selected candidate will work on the following requirements:

Design, build and manage a Kubernetes platform for use in data services.
Implementation of a platform that will support data services technologies packaged in containers that are dynamically created by automated processes.
Extending, and augmenting core Kubernetes platform capabilities to support functional and non-functional requirements for the data services applications.
Building operational & scalable platform along with metrics, reporting, and dashboard for operational & health management.
Building reliable self-service capability for data service customers to onboard and utilize the platform for applications.

Skills:

Strong Linux fundamentals knowledge.
Package management - tools, package build, dependency management.
Container & virtualization - Current VM technologies, container standards, methods of assembly - Cloud Computing
Comfortable working from the command line and with APIs for Amazon AWS services, including EC2, S3, and troubleshooting.
Knowledge of the IAM system of AWS. - Troubleshooting skills.
Issue Triage - ability to identify probable root causes of issues independently by use of platform tools and research.
Tools - can apply tools at Linux OS layer to isolate and correct issues
Network - the ability to work with network interfaces, and knowledge of protocols as well as switching and routing fundamentals.
Very familiar with IP and TCP protocols and IP v4 addressing and CIDR.
Ability to capture and dissect TCP/IP network traffic.- Language(s)
Coding - ability to work independently in implementing (one or more) Python, Golang, Java, C/C++, or Javascript language solutions to automation tasks and extensions to existing functionality of in-house projects or open-source projects.
Continuous Delivery
Experience in a CD environment with an understanding of config-driven platforms.
Knowledge of Gitlab and its pipeline automation methodology. - Kubernetes
Some hands-on experience with Kubernetes in recent experience, and knowledge of all components within a Kubernetes platform.
Understanding of persistent data mechanisms and stateful sets within Kubernetes. - APIs and Security
Knowledge of AuthN/AuthZ as it relates to distributed services.
Understanding of ReST services, and ability to implement/modify services using one of the programming languages listed above. - Distributed Services
Experience using Splunk or ELK-type remote log capture.

Kubernetes Platform DevOps Engineer