Hire Python/Docker Back-End Engineers
Today, Python/Docker back-end developers are highly sought-after in the IT industry, and there is considerable competition for the most desirable positions. Python is one of the most extensively utilised web programming languages, and its usage continues to grow, especially in startup contexts where resources are often scarce.
Docker is a collection of Platform-as-a-Service (PaaS) technologies designed to streamline the creation, deployment, and execution of applications. Utilising virtualization, Docker allows developers to package software and rapidly deploy, experiment with, and run their desired tools, application stacks, and deployment environments. Containers, individual components of the Docker platform, are used to make this process as simple and efficient as possible.
Due to the numerous benefits of utilising Python and Docker, the demand for back-end knowledge has increased substantially. This makes remote Python/Docker back-end engineering positions an ideal opportunity for experienced programmers. In the following sections, I will provide further information regarding the role of a Python/Docker engineer.
What does Python/Docker back-end development entail?
Python has gained immense popularity as a programming language and is now considered one of the most popular, surpassing the likes of C, C++, and Java. A notable example of this is Spotify, which uses Python in its back-end services to provide personalised playlists and recommendations based on user data. Additionally, Dropbox employs Python scripts to create native applications for a variety of platforms, including Windows, macOS, Linux, iOS, and Android.
Docker has earned the title of “next generation virtualization technology” due to its increased usage among prominent companies such as Netflix, Spotify, PayPal, and Uber. Containerization technology is becoming an increasingly popular means of creating repeatable and scalable environments, as it is known for its efficient and secure characteristics. As a result, developers who possess knowledge of both Python and Docker are highly sought after within the industry.
Are you interested in pursuing a career as a remote Python/Docker Back-End Engineer? If so, it is important to understand what is involved in becoming a successful Python/Docker Back-End Developer. Let us take a closer look at the steps necessary to become a proficient Python/Docker Back-End Engineer.
What are the duties and obligations of a Python/Docker back-end developer?
The following are some of the most critical duties for Python/Docker back-end engineers.
- Object-oriented design, design patterns, and a multi-tier client-server architecture should be used.
- Take charge of defining and implementing containerization technologies.
- Build, grow, and maintain incredibly scalable apps using CI/CD pipelines.
- In partnership with stakeholders and clients, define the architecture and product plan.
- Create and manage highly available Docker systems as well as an auto-scaling solution.
- Keep up to date on innovative technology and automated procedures.
How can I get started as a Python/Docker back-end engineer?
Despite requiring a considerable degree of expertise and knowledge, anyone who has a genuine passion for the field and is capable of meeting the expectations of a Python/Docker back-end engineer, as outlined above, is eligible to apply for the position.
Obtaining the qualifications required to become a remote Python/Docker back-end engineer is achievable through a variety of methods. A degree in computer science is an effective way to gain the knowledge and skills necessary for a successful career in Python/Docker back-end programming. However, for those who have not had the opportunity to attend college, there are other options available for obtaining the qualifications needed for remote Python/Docker back-end engineer employment. Self-learning, online courses, mentoring, and certification programs are just some of the opportunities available to help develop the skills and qualifications needed to secure a job in this field.
Enrolling in a short-term boot camp can be an effective way to become a successful Python/Docker back-end developer. The program will provide comprehensive instruction on the languages required to apply for remote Python/Docker back-end engineer jobs both on-site and virtually. This option can be more cost-effective and efficient than obtaining a traditional three- or four-year degree.
No matter which path you take to become a remote Python/Docker back-end engineer, you can be sure that you will have a great deal of promising job opportunities as a Python/Docker back-end engineer in the future.
Qualifications for becoming a Python/Docker back-end engineer
In order to secure a high-paying remote Python/Docker back-end developer role, it is essential to acquire the necessary skills. To gain a better understanding of the technical expertise needed for such a job, let us take a closer look at each of the required abilities.
Frameworks in PythonPython frameworks are immensely beneficial for developers, as they take care of the lower-level details such as sockets, protocols, and threads. This is especially helpful for a one-handed Python/Docker back-end developer, as they are able to save time and effort in their work. Furthermore, once a developer has gained a mastery of a Python framework, they can quickly construct a prototype application without the need to manually input boilerplate code. This helps them to save even more time and effort in their development process.
Python librariesPython has long been renowned for its comprehensive library of packages and modules, making it one of the most attractive programming languages for developers. When attempting to achieve a certain goal, there is a high likelihood that the necessary resources have already been developed, allowing for a quick and efficient implementation. With its numerous libraries and packages, the Python ecosystem provides an experienced back-end developer with the tools they need to identify, comprehend, and implement them in their daily workflow.
Understanding of front-end technologies:Assuming that you will only be working with back-end technologies when taking on a remote Python/Docker back-end engineer role may not be the case. A Python developer typically has to work with both front-end and back-end technologies in order to ensure the client-side and server-side remain in sync. This makes the workflow smoother when working in a corporate setting, and it is not uncommon to see UI/UX teams, project managers, and SCRUM masters in the mix.
Artificial intelligence and machine learningIn recent times, advances in Machine Learning and Artificial Intelligence have been gaining significant traction and momentum. This is largely due to the rapid innovation and acceptance of these technologies in the industry. Given that Machine Learning and AI are highly secure technologies, it is important to gain an understanding of their key concepts and approaches if one wishes to secure a role as a remote Python/Docker Back-End Engineer.
Information scienceHaving a strong understanding of data science is essential when working on projects that involve large data sets. Therefore, before applying for remote Python/Docker back-end engineer positions, it is important to acquire an in-depth comprehension of data science. Once you have demonstrated your ability to acquire, analyse, visualise and predict data, you will be able to present your stakeholders with a comprehensive overview of your findings. This can be achieved by using effective outliners.
Making use of Docker machine and Docker clientRather than running containerized programs on local systems such as Mac, Windows, or Linux, it is necessary to deploy them in the cloud. Docker-machine is a program that simplifies the process of building and managing virtual machines (VMs) remotely. It allows users to remotely operate the docker engine of a VM created with docker-machine, as well as update the Docker engine, restart the VM (if supported by the driver), and check its status. Docker-machine is particularly useful when constructing a deployment environment for an application which comprises of multiple microservices. It allows users to access and update development, staging, and production environments directly from their computer.
Make your own Docker imagesGaining proficiency in constructing Docker images for applications is a must-have skill if one wishes to pursue a career as a remote Python/Docker back-end engineer. This expertise is essential, regardless of whether the individual is just beginning the process of containerizing apps or is looking to delve further into Kubernetes development.
Using Docker containers to interactContainers are designed to provide self-sustained environments with the ability to interact with other applications over a network. For example, a web-server container may expose port 80 to receive requests, and a database container may be linked to an application container. Additionally, applications can interact with one another by writing files to a shared disk, allowing them to access the same data. For instance, a data processing application may write a file containing client data to a shared disc, which is then accessible by another program. It is even possible for two identical containers to share files. To gain the best Python/Docker back-end engineer jobs, it is essential to understand the fundamentals of Docker containers.
How can I get work as a remote Python/Docker back-end engineer?
At our organisation, we have taken careful note of the skill set required for remote Python/Docker back-end engineering roles. It is important to remember that the success of your training depends on the effort and dedication you put in. As technology advances, the Python/Docker back-end development market is becoming increasingly competitive, and more and more people are joining the field. However, with a commitment to continuous improvement and keeping up with the latest trends, you can still achieve success in this field.
At Works, we are proud to offer the best remote Python/Docker back-end engineering opportunities to help you reach your goals. Not only will you be able to develop your skills by working alongside other experienced engineers on exciting and innovative projects, but you will also be able to network with some of the best Python/Docker back-end experts in the world. We provide full-time, long-term remote Python/Docker back-end engineer jobs that offer competitive compensation and the possibility for career growth. Join us today and become part of this global network!
- Object-oriented design, design patterns, and multi-tier client-server architecture should all be used.
- Accept charge of integrating and defining containerization technologies.
- Create, scale, and monitor highly scalable applications, as well as CI/CD pipelines.
- Define the architecture and product roadmap in collaboration with stakeholders and customers.
- Docker is used to build and manage highly available systems, as well as to construct an auto-scaling system.
- Maintain current knowledge of innovative technology and automated processes.
- Bachelor’s/Master’s Degree in engineering, computer science, or information technology (or equivalent experience)
- At least three years of expertise in back-end development is required (rare exceptions for highly skilled developers)
- Strong knowledge with Python development, Django, or other comparable frameworks
- Significant automation, DevOps, Docker, and container networking experience
- Working knowledge of highly available, compute-intensive distributed applications
- Understanding of artificial intelligence and machine learning techniques
- Comprehensive understanding of operations and system management, with a focus on Linux
- Docker and/or cloud deployment technologies are well-understood; knowledge of Docker-compose, Docker Swarm, and Docker Engine is essential.
- Application deployment expertise utilising CI/CD pipelines
- English fluency is required for good communication.
- Work full-time (40 hours per week) with a 4-hour overlap with US time zones
- GNU/Linux expertise is required.
- Knowledge of monitoring technologies such as Prometheus, Grafana, Datadog, and others.
- Knowledge of alerting technologies such as OpsGenie, PagerDuty, and others.
- Working knowledge of Agile techniques
- Capability to express ideas to colleagues and clients
- Outstanding problem-solving and organising abilities