Hello Experts.
What are the skills a Telecom Engineer must have to become a Telecom DevOps?
I am not sure about all skills, but i know you must be at least familiar with all of these:
Only some examples and most important i rememeber, others can comment.
Note: most definitions from Wikipedia. 
DevOps Tools
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Jenkins: an open source automation server. It helps automate the parts of software development related to building, testing, and deploying, facilitating continuous integration and continuous delivery. It is a server-based system that runs in servlet containers such as Apache Tomcat. It supports version control tools, including AccuRev, CVS, Subversion, Git, Mercurial, Perforce, ClearCase and RTC, and can execute Apache Ant, Apache Maven and sbt based projects as well as arbitrary shell scripts and Windows batch commands.
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GitLab: a DevOps software package (provided by open-core company GitLab Inc.) that combines the ability to develop, secure, and operate software in a single application. The open source software project was created by Ukrainian developer Dmitriy Zaporozhets and Dutch developer Sytse Sijbrandij.
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Grafana is a multi-platform open source analytics and interactive visualization web application. It provides charts, graphs, and alerts for the web when connected to supported data sources. A licensed Grafana Enterprise version with additional capabilities is also available as a self-hosted installation or an account on the Grafana Labs cloud service. It is expandable through a plug-in system. End users can create complex monitoring dashboards using interactive query builders. Grafana is divided into a front end and back end, written in TypeScript and Go, respectively.
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Jira: is a proprietary issue tracking product developed by Atlassian that allows bug tracking and agile project management.
Intermediate-advanced LINUX
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Ubuntu: is a Linux distribution based on Debian and composed mostly of free and open-source software. Ubuntu is officially released in three editions: Desktop, Server and Core for Internet of things devices and robots. All the editions can run on the computer alone, or in a virtual machine. Ubuntu is a popular operating system for cloud computing, with support for OpenStack Ubuntu’s default desktop has been GNOME since version 17.10.
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SUSE Linux: is a computer operating system developed by SUSE. It is built on top of the free and open source Linux kernel and is distributed with system and application software from other open source projects. SUSE Linux is of German origin, its name being an acronym of “Software und System-Entwicklung” (software and systems development), and it was mainly developed in Europe. The first version appeared in early 1994, making SUSE one of the oldest existing commercial distributions. It is known for its YaST configuration tool.
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Red Hat Enterprise Linux (RHEL): is a commercial open-source Linux distribution developed by Red Hat for the commercial market. Red Hat Enterprise Linux is released in server versions for x86-64, Power ISA, ARM64, and IBM Z and a desktop version for x86-64. Fedora Linux serves as its upstream source. All of Red Hat’s official support and training, together with the Red Hat Certification Program, focuses on the Red Hat Enterprise Linux platform.
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Debian: also known as Debian GNU/Linux, is a Linux distribution composed of free and open-source software, developed by the community-supported Debian Project, which was established by Ian Murdock on August 16, 1993. The first version of Debian (0.01) was released on September 15, 1993 and its first stable version (1.1) was released on June 17, 1996. The Debian Stable branch is the most popular edition for personal computers and servers. Debian is also the basis for many other distributions, most notably Ubuntu.
Docker (intermediate level) and Orchestration Tools
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Docker: is a set of platform as a service (PaaS) products that use OS-level virtualization to deliver software in packages called containers. The service has both free and premium tiers. The software that hosts the containers is called Docker Engine. It was first started in 2013 and is developed by Docker, Inc.
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Docker Swarm: Docker swarm is a container orchestration tool, meaning that it allows the user to manage multiple containers deployed across multiple host machines.
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K8: Kubernetes, also known as K8s, is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery.
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AWS: (Amazon Web Services) is a comprehensive, evolving cloud computing platform provided by Amazon that includes a mixture of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS) offerings.
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ECS: Amazon Elastic Container Service is a highly scalable, high performance container management service that supports Docker containers and allows you to easily run applications on a managed cluster of Amazon Elastic Compute Cloud (Amazon EC2) instances.
Experience managing workloads in Cloud environments
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Openstack: OpenStack is an open source platform that uses pooled virtual resources to build and manage private and public clouds. The tools that comprise the OpenStack platform, called “projects,” handle the core cloud-computing services of compute, networking, storage, identity, and image services.
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Kubernetes: A workload is an application running in one or more Kubernetes (K8s) pods. Pods are logical groupings of containers running in a Kubernetes cluster that controllers manage as a control loop (in the same way that a thermostat regulates a room’s temperature).
Programming language experience
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Terraform: is an open-source infrastructure as code software tool created by HashiCorp. Users define and provide data center infrastructure using a declarative configuration language known as HashiCorp Configuration Language (HCL), or optionally JSON.
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Ansible: is an open-source software provisioning, configuration management, and application-deployment tool enabling infrastructure as code. It runs on many Unix-like systems, and can configure both Unix-like systems as well as Microsoft Windows. It includes its own declarative language to describe system configuration. Ansible was written by Michael DeHaan and acquired by Red Hat in 2015. Ansible is agentless, temporarily connecting remotely via SSH or Windows Remote Management (allowing remote PowerShell execution) to do its tasks.
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Python: is a high-level, interpreted, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically-typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming. It is often described as a “batteries included” language due to its comprehensive standard library.
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JSON: JavaScript Object Notation is an open standard file format and data interchange format that uses human-readable text to store and transmit data objects consisting of attribute–value pairs and arrays (or other serializable values). It is a common data format with diverse uses in electronic data interchange, including that of web applications with servers. JSON is a language-independent data format. It was derived from JavaScript, but many modern programming languages include code to generate and parse JSON-format data. JSON filenames use the extension .json.
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Yaml: is a human-readable data-serialization language. It is commonly used for configuration files and in applications where data is being stored or transmitted. YAML targets many of the same communications applications as Extensible Markup Language (XML) but has a minimal syntax which intentionally differs from SGML. It uses both Python-style indentation to indicate nesting, and a more compact format that uses […] for lists and {…} for maps thus JSON files are valid YAML 1.2.
Knowledge of SQL and NoSQL databases
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MySQL: is an open-source relational database management system (RDBMS). Its name is a combination of “My”, the name of co-founder Michael Widenius’s daughter and “SQL”, the abbreviation for Structured Query Language. A relational database organizes data into one or more data tables in which data may be related to each other; these relations help structure the data. SQL is a language programmers use to create, modify and extract data from the relational database, as well as control user access to the database. In addition to relational databases and SQL, an RDBMS like MySQL works with an operating system to implement a relational database in a computer’s storage system, manages users, allows for network access and facilitates testing database integrity and creation of backups. MySQL is free and open-source software under the terms of the GNU General Public License, and is also available under a variety of proprietary licenses. MySQL was owned and sponsored by the Swedish company MySQL AB, which was bought by Sun Microsystems (now Oracle Corporation). In 2010, when Oracle acquired Sun, Widenius forked the open-source MySQL project to create MariaDB.
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MongoDB: is a source-available cross-platform document-oriented database program. Classified as a NoSQL database program, MongoDB uses JSON-like documents with optional schemas. MongoDB is developed by MongoDB Inc. and licensed under the Server Side Public License (SSPL) which is deemed non-free by several distributions.
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MariaDB: is a community-developed, commercially supported fork of the MySQL relational database management system (RDBMS), intended to remain free and open-source software under the GNU General Public License. Development is led by some of the original developers of MySQL, who forked it due to concerns over its acquisition by Oracle Corporation in 2009. MariaDB is intended to maintain high compatibility with MySQL, with library binary parity and exact matching with MySQL APIs and commands, allowing it in many cases to function as drop-in replacement for MySQL. However, new features are diverging. It includes new storage engines like Aria, ColumnStore, and MyRocks.
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I think that skills in networks like vlans, routing, firewall, DCSG routers, managed switches and etc are also relevant for the activity.
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Any system design must have these core components
A firm hold on System Design is a must to crack any good company. No matter what type of engineer you are, knowing System Design will make you more well-rounded and get you more success in your career.
Load balancer helps distribute incoming traffic across servers or databases. There are two types of load balancers hardware and software. Hardware load balancers are generally expensive but very effective.
Caching is a concept where data gets stored in fast memory for quick access. The cache is generally a temporary storage like RAM since it is faster than reading the data from HDD or a database.
A monitoring system is a system design component to collect, analyze, and report various metrics and performance data related to a system or application. It can be helpful in several scenarios, such as when a system needs to track its performance and availability.
Distributed File System (DFS), as the name suggests, is a file system distributed on multiple file servers or locations.
Analytics helps in improving operational efficiency through their daily activities. Assist businesses in understanding their customers more precisely. These insights help in decision-making and planning for the future
A web server delivers content for a website to a client that requests it, like a web browser. For example, a web server communicates with a web browser using HTTP.
The term “API” has been generically used to describe connectivity interfaces to an application. However, modern APIs adhere to specific standards (typically HTTP and REST), which enable APIs to be developer-friendly, self-described, easily accessible, and understood broadly.
Data can be structured (SQL), semi-structured (JSON, XML, etc.), and unstructured (blob, image).In the case of structure, they can be relational or columnar, while in the case of semi-structured, there is a wide range of possibilities, from key-value to graph.
Messaging queues allow nodes to communicate asynchronously, decoupling the sender and receiver of a message and enabling each node to operate independently.
Distributed search refers to using multiple nodes or servers to index and search large datasets in a distributed system and helps in the performance and scalability of search operations.
A content delivery network (CDN) refers to a geographically distributed group of servers working together to deliver Internet content quickly.
Cloud computing infrastructure collects hardware and software elements needed to enable cloud computing. It includes computing power, networking, storage, and an interface for users to access their virtualized resources.
These are core components required for any system design.
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