Remote Python/Kubernetes engineer jobs

We all know that Python has many striking features that give engineers an edge over other programming languages. Since its inception, Python has been a preferred choice of developers for over 3 decades. Learning Python is easy and less time-consuming, and its features make it efficient. It is used for back-end development, web development, IoT, machine learning, gaming applications and many more. In short, it is used for developing any applications that require mathematical calculations and data. To deploy Python applications, you need an open-source container orchestration system that’s where Kubernetes come into the picture. And if you learn both then you will have a booming career as a Python/Kubernetes engineer.

Since Python is developer-friendly and easy to learn for beginners, there is an inclination of developers towards the language. So if you’re looking to have a fruitful career as a Python/Kubernetes engineer, here is the full article that entails everything you need to know about being a Python/Kubernetes engineer.

Whether you want to run a complex application or a simple one, Kubernetes is your solution to deploy or scale your applications. Kubernetes is an open-source container used for the deployment and management of applications. It was introduced by Google in 2014 and is now looked after by the Cloud Native Computing Foundation. It assists you in deploying, scaling and rolling out new options.

However, learning Kubernetes takes time. It has a steep learning curve. So Python engineers can create development workflows on Kubernetes. Kubernetes applications are native to the cloud. In the next section, we will learn more about the roles and responsibilities of a Python/Kubernetes engineer.

A Python/Kubernetes engineer is responsible for developing applications for the Kubernetes platform using Python code. Other responsibilities of a Python/Kubernetes engineer are as follows:

• Maintain performance and security of production systems
• Understanding how to improve infrastructure
• Troubleshooting errors to ensure deployment
• Familiarity with installation, the configuration of server software
• Collaborate with different team members to build understanding and get the desired results.
• Design, deploy, test pipelines for high-quality performance

To begin your career as a Python/Kubernetes engineer, you need experience, expertise and skill set. The best way to go about it is to start with an undergraduate degree in computer science or programming. Knowledge of Python programming languages will help you build a better foundation for the future. In addition to the technical skills, non-technical skills are also important if looking to have a flourishing career as a Python/Kubernetes engineer.
Along with the professional degree, you should also have familiarity with Python and experience. To keep yourself updated with the latest trends, you must learn daily. You can also take up various online tests to polish your skills. All of this will help you get a full-time high-paying job as a Python/Kubernetes engineer in silicon valley companies. You will read more about skills in the coming section.

The primary step in getting close to your dream job is to know about the skills and master them. A skill set of a Python/Kubernetes engineer is as follows:

1. Kubernetes

Kubernetes is an open-source container orchestration system that simplifies the deployment and maintenance process. It assists in developing applications that are scalable, reliable and high performance. Kubernetes with Python can create endless opportunities in application development.

2. Python

If you’re looking to have a career as a Python/ Kubernetes engineer, you should have in-depth knowledge of languages. Knowing the language will help you leverage features that will make your work easy. Python engineers can create development workflows on Kubernetes. Kubernetes applications are native to the cloud. You can use Python libraries and manage Kubernetes resources.

3. Docker

Docker is an easy to use tool that helps developers and gives them an edge over other developers as it makes the process smooth and efficient. Since its inception in 2013, docker has been loved by developers and engineers everywhere. It has over 105 billion containers downloaded, As mentioned by Docker Inc.

4. Problem Solving and soft skills:

As an engineer, you must always be proactive and solve problems as it will help you in the longer run. As a Python/Kubernetes engineer, you may find errors that hamper the progress of the project. Plus, good communication skills ensure that you effectively communicate with your teammates. Plus, it will help you interact with clients and understand the requirements.

Well, If you have skills and experience getting a remote Python/Kubernetes engineer job won’t be difficult for you. If you’re looking for Python/Kubernetes engineering opportunities, sign up at Turing. Turing helps Python/Kubernetes engineers get their remote dream job. However, to get a job as a Python/Kubernetes engineer, you should have a minimum of 3 years of professional experience. Once you sign up at Turing, you find a job that will align with your career goals. You can become a part of the developers' community and learn and grow with them.

If you’re looking to spin up your career, Turing is your one-stop destination. At Turing, every developer is allowed to set their own price. We do recommend salaries based on the requirements of our clients, market condition and skill set. So sign up to get a high-paying lucrative job from the comfort of your home.