Python/Kubernetes Engineers for Hire
For more than thirty years, developers have preferred Python due to its accessible learning curve, powerful features, and minimal development time. Python is used for a wide range of applications, including backend development, web development, the internet of things (IoT), machine learning, gaming apps, and more. It is ideal for any project that necessitates complex calculations and data manipulation. To deploy Python applications, an open-source container orchestration solution such as Kubernetes is required. Combining expertise in both Python and Kubernetes can open up endless opportunities for a career as a Python/Kubernetes developer.
The great news for those seeking an entry into the world of Python and Kubernetes development is that Python is recognized for its ease of use and accessibility, making it suitable for both novice and experienced developers. Therefore, Python is an ideal language for anyone interested in starting or advancing their career in software development. With a relatively small amount of effort and commitment, everyone can acquire the knowledge and abilities essential to becoming a successful Python/Kubernetes developer. This post aims to offer a comprehensive guide to the basics of the language, as well as the skills and techniques needed to become successful in Python/Kubernetes development.
What is involved in Python/Kubernetes Engineering?
Kubernetes is an effective solution for deploying and scaling applications of any level of complexity. It is an open-source container platform originally created by Google in 2014, and is currently maintained by the Cloud Native Computing Foundation. Kubernetes offers beneficial features for deploying, scaling, and managing new versions of applications.
Becoming proficient in Kubernetes is a time-consuming process with a steep learning curve. Nevertheless, Python developers can now establish development pipelines employing cloud-native Kubernetes. In the following section, we will go over the responsibilities and tasks of a Python/Kubernetes engineer.
Responsibilities and Tasks of a Python/Kubernetes Engineer
As a Python/Kubernetes engineer, my main duty is to create applications for the Kubernetes platform using Python code. Aside from that, I am also responsible for a variety of other tasks such as debugging and resolving issues with existing applications, developing and implementing new features, and guaranteeing the security and scalability of our applications. In addition, I must work together with other engineers to optimize application performance and maintainability. And lastly, it is my responsibility to keep up with the most up-to-date technologies and trends in Kubernetes to ensure our applications are utilizing the most advanced features available.
- Ensure the security and performance of the production system.
- Expertise in improving infrastructure
- Fixing errors to ensure successful deployment
- Proficiency in installing and configuring server software
- Cooperate with team members to acquire knowledge and attain desired objectives.
- Design, deploy, and test pipelines for high-performance quality.
What is the process for becoming a Python/Kubernetes Engineer?
Becoming a successful Python/Kubernetes developer requires a combination of experience, skill, and advanced knowledge. Starting with a bachelor’s degree in programming or computer science is the best way to begin. A solid understanding of the Python programming language is crucial for laying a strong foundation for future growth. Moreover, having both technical and non-technical skills is necessary for success in this field. Possessing a professional degree, familiarity with Python, and previous experience are also beneficial. It’s also advisable to stay informed on the latest developments by continuously learning new skills and taking various online exams. All of these efforts can result in a rewarding, high-paying job as a Python/Kubernetes developer in Silicon Valley. The following section will go into further detail about the necessary skills needed to excel in this field.
Requirements for becoming a Python/Kubernetes Engineer
To thrive as a Python/Kubernetes engineer, it is necessary to acquire and master the essential skills required for the job. Some of these skills include:
Kubernetes (Kubernetes-style system)
Kubernetes is an open-source technology for container orchestration that streamlines the deployment and management of applications. Employing Kubernetes with Python can offer limitless possibilities for application development by creating scalable, dependable, and high-performance applications.Python
Proficiency in multiple languages is crucial if you want to pursue a career as a Python/Kubernetes developer. Being skilled in the language can help you take advantage of features that make your job easier. Python developers can leverage Kubernetes to develop workflows. Kubernetes applications are designed to run in the cloud, and Python libraries can be used to manage Kubernetes resources.Docker
Docker, released in 2013, is widely used by developers and engineers globally, owing to its user-friendliness and its ability to accelerate the development process. Docker Inc. has stated that over 105 billion containers have been downloaded since its inception, demonstrating the strong demand for Docker. It provides developers with a competitive edge by simplifying the development process.Problem Solving and Soft Skills:
As an engineer, taking a proactive approach to problem-solving is important for long-term success. As a Python/Kubernetes engineer, you may encounter challenges that may hinder project progress. Additionally, possessing strong communication skills ensures effective interaction with colleagues, effective communication with clients, and understanding their needs.
What is the process for obtaining remote work as a Python/Kubernetes Engineer?
If you possess the necessary expertise and experience, securing a remote Python/Kubernetes engineering role should not be difficult. By registering on Works, you will have access to numerous Python/Kubernetes engineering opportunities that will assist you in achieving your career objectives. However, please keep in mind that you must have a minimum of three years of professional experience to be eligible for a Python/Kubernetes engineering job. Additionally, Works provides you with the ability to join a lively community of developers and advance in your profession through mutual cooperation and knowledge-sharing.
Description of the Job
Job Responsibilities
- Deployment, automation, maintenance, management, and optimization of cloud infrastructure
- Ensure availability, performance, scalability, and security of production systems.
- Kubernetes API automation for deployment, upgrades, patching, etc.
- Develop, test, and implement pipelines for continuous integration and deployment.
- Assess the security, performance, and availability of the infrastructure based on Kubernetes.
- Resolve issues related to production, source code, and deployment.
- Setup, maintain, and configure server software for Linux and Windows.
- Collaborate with cross-functional teams to design user-friendly solutions.
- Coordinate with the IT team to align IT strategy and vision with the overall client direction.
Requirements
- Bachelor’s or Master’s degree in Engineering, Computer Science or equivalent experience
- Professionals should have at least three years of experience in implementing Kubernetes and Python in large or medium-sized corporate settings. In exceptional cases, exceptionally skilled developers may be considered even without meeting this requirement. Visit Works to hire top-notch developers.
- Proficiency in Python programming and its libraries
- Knowledge of Diameter and Kubernetes is mandatory.
- Knowledge of Operator, framework, networking, logging/monitoring, and infrastructure
- Proficiency in shell scripting, PowerShell, Docker, and Google Cloud Compute (GCC) is necessary
- Proficiency in Django or any equivalent framework
- Thorough understanding of source code management, continuous integration/continuous delivery technologies, and Linux/Unix administration
- Experience in managing automation using Puppet, Chef, Ansible, Terraform, or any other equivalent technologies
- Proficiency in English is necessary for effective communication.
- Work full-time (40 hours per week) with at least 4 hours overlapping with US time zones
Desirable expertise
- Ability to create and manage virtual machines and containers
- Preferably, possess professional certificates in AWS and DevOps
- Familiarity with HashiCorp Vault Consul
- Outstanding critical thinking and problem-solving skills
- Excellent communication and organizational skills
