Engage Skilled Back-End Engineers in Python and Docker
In today’s IT industry, there is an immense demand for back-end developers skilled in Python and Docker, making recruitment for top positions a competitive affair. Python is extensively used as a web programming language, with its usage continuing to expand particularly in startup contexts where available resources are limited.
Docker is an amalgamation of Platform-as-a-Service (PaaS) technologies that simplify the creation, deployment, and execution of applications. Docker makes use of virtualization to enable developers to bundle software and quickly deploy, experiment with, and operate their preferred tools, application stacks, and deployment environments. The use of containers, individual Docker platform components, makes the procedure efficient and straightforward.
The widespread advantages of using Python and Docker have led to a considerable hike in demand for back-end expertise. This makes remote positions in Python/Docker back-end engineering an excellent chance for skilled programmers. The forthcoming sections will furnish you with more details on the functions of a Python/Docker engineer.
What is involved in Python/Docker Back-End Development?
Python has gained remarkable recognition as a programming language and has now become one of the most favoured options, outpacing languages such as C, C++, and Java. A prominent instance of this is the music streaming service, Spotify, which employs Python in its back-end processes to curate individualized playlists and offer recommendations based on user data. Dropbox also utilizes Python scripts to fashion native applications for various platforms like Windows, macOS, Linux, iOS, and Android.
Docker has earned the moniker “next-generation virtualization technology” owing to its widespread usage amongst well-renowned companies such as Netflix, Spotify, PayPal, and Uber. Containerization technology is increasingly becoming a preferred way to design scalable and consistent environments, as it is reputed for its secure and efficient traits. Consequently, professionals with expertise in Python and Docker are in high demand within the industry.
Do you aspire to follow a career as a remote Python/Docker Back-End Engineer? If yes, it is imperative to gain a comprehensive insight on what it takes to be a successful Python/Docker Back-End Developer. Let us scrutinize the steps involved in becoming a competent Python/Docker Back-End Engineer.
What are the Responsibilities and Obligations of a Python/Docker Back-End Developer?
Here are some of the most crucial tasks for Python/Docker back-end engineers.
- Adoption of object-oriented design, design patterns, and a multi-tier client-server architecture is crucial.
- Lead in defining and executing containerization technologies.
- Construction, expansion, and sustenance of highly scalable applications leveraging CI/CD pipelines.
- Collaborate with stakeholders and clients to establish the architecture and product strategy.
- Establish and manage highly available Docker systems as well as an auto-scaling solution.
- Maintain up-to-date knowledge on cutting-edge technology and automated procedures.
What Steps Can I Take to Commence as a Python/Docker Back-End Engineer?
Although necessitating a remarkable level of proficiency and comprehension, any individual with a genuine ardour for the realm and possessing the ability to fulfil the expectations of a Python/Docker back-end engineer, as mentioned earlier, can apply for the role.
Attaining the qualifications necessary to become a remote Python/Docker back-end engineer is achievable by various means. A degree in computer science is a productive avenue to obtain the knowledge and expertise necessary for a thriving profession in Python/Docker back-end coding. Nevertheless, for those who were not able to acquire a college education, there are alternative solutions to obtain the qualifications needed for remote Python/Docker back-end engineer job openings. Self-education, online courses, mentorship, and certification programs are among the many possibilities that can aid in developing the skills and expertise necessary to secure a position in this industry.
Joining a brief boot camp can be a productive route to establish oneself as a proficient Python/Docker back-end developer. The course furnishes comprehensive training on the languages imperative to apply for remote Python/Docker back-end engineer occupations both in-person and digitally. This can be a cost-efficient and quicker alternative to obtaining a conventional three- or four-year degree.
Irrespective of the approach chosen to become a remote Python/Docker back-end engineer, one can be assured of innumerable potential job prospects as a Python/Docker back-end engineer in the forthcoming years.
Prerequisites to be a Python/Docker Back-End Engineer
Acquiring the mandatory skills is indispensable to secure a lucrative remote Python/Docker back-end developer position. Expounding on the technical competencies required for the job, let us scrutinise each of the obligatory proficiencies more closely.
Python FrameworksAiding developers by managing the low-level aspects such as sockets, protocols, and threads, Python frameworks are highly advantageous. This is particularly expedient for a Python/Docker back-end developer, reducing the time and exertion exerted on their work. Additionally, once the developer has attained proficiency in a Python framework, they can build a prototype application speedily without requiring to manually input boilerplate code. This aspect contributes to the conservation of even more time and effort during the development process.
Python LibrariesWith its extensive library of packages and modules, Python has established a longstanding repute as one of the most sought-after programming languages for developers. Necessitated resources in pursuit of a specific objective are likely to have been developed beforehand, facilitating prompt and efficient implementation. Basking in an array of libraries and packages, the Python realm furnishes an experienced back-end developer with the resources to identify, comprehend and apply them in their everyday workflow.
Familiarity with Front-End Technologies:Presuming that a remote Python/Docker back-end engineer job solely involves back-end technologies is an erroneous notion. Working with both front-end and back-end technologies is a common practice for a Python developer to keep the client-side and server-side in sync. This leads to a smoother workflow in a corporate environment, where it is commonplace to witness the involvement of UI/UX teams, project managers, and SCRUM masters in the process.
Artificial Intelligence and Machine LearningRecent developments in Machine Learning and Artificial Intelligence have been gaining considerable impetus and recognition. This is largely due to the swift innovation and acceptance of these technologies in the industry. Fostering a secure and prominent position in the realm, it is essential to apprehend the foremost concepts and approaches of Machine Learning and AI for a role as a remote Python/Docker Back-End Engineer.
Data ScienceAn extensive knowledge of data science is vital when working on projects that involve voluminous data sets. Therefore, before aiming to secure a remote Python/Docker back-end engineer job, it is crucial to possess an in-depth comprehension of data science. Demonstrating an adeptness to retrieve, evaluate, visualise, and predict data enables presenting comprehensive findings to stakeholders. This can be achieved using effective outlining tools.
Utilizing Docker Machine and Docker ClientDeploying containerized programmes on cloud platforms is imperative instead of running them on local systems such as Mac, Windows, or Linux. Docker-machine is a program that simplifies the process of constructing and administrating virtual machines (VMs) remotely. It empowers users to remotely manage 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 conducive when building a deployment environment for an application that encompasses multiple microservices. It enables users to access and update the development, staging, and production environments straight from their computer.
Creating Personal Docker ImagesA must-have proficiency for a career as a remote Python/Docker Back-End Engineer is to gain expertise in fabricating Docker images for applications. Regardless of whether the individual is just beginning the process of app containerization or delving deeper into Kubernetes development, it is imperative to possess this skill.
Interacting through Docker ContainersContainers are designed to provide independent environments that can interact with other applications through a network. For instance, a web-server container may expose port 80 to receive requests, and a database container may be linked to an application container. Moreover, by writing files to a shared disk, applications can communicate with one another and gain access to the same data. For instance, a client data file from a data processing application may be written to a shared disc, which can then be accessed by another programme. It is even plausible for identical containers to share files. Grasping the rudiments of Docker containers is imperative for obtaining the best Python/Docker back-end engineer jobs.
What Are the Options to Work as a Remote Python/Docker Back-End Engineer?
At Works, we have thoroughly observed the skill set prerequisites for succeeding in remote Python/Docker back-end engineering careers. It is essential to bear in mind that the level of triumph commensurates with the effort and devotion invested in it. As technology continues to progress, the Python/Docker back-end development sector is witnessing surging competition, and an influx of professionals joining this arena. Nevertheless, an unwavering commitment to ongoing betterment and staying on top of the trends will still pave the way for attaining success in this domain.
At Works, we take pride in providing the finest remote Python/Docker back-end engineering opportunities, assisting you in achieving your objectives. Collaborating with experienced engineers on stimulating and innovative projects empowers you to enhance your competencies while networking with some of the world’s best Python/Docker back-end experts. We propose full-time and long-term remote Python/Docker back-end engineer career options with competitive remuneration and promising prospects of career advancement. Join us today and relish being a part of our global network!
Description of the Job
Responsibilities of the Job
- The utilization of object-oriented design, design patterns, and multi-tier client-server architecture is essential.
- Take charge of defining and integrating containerization technologies.
- Develop, scale, and supervise highly scalable applications, including CI/CD pipelines.
- Collaborate with stakeholders and customers to define the architecture and product roadmap.
- Docker is employed to construct and manage highly available systems, including the development of an auto-scaling system.
- Retain up-to-date knowledge of state-of-the-art technology and automated processes.
- Obtained a Bachelor’s/Master’s Degree in engineering, computer science, or information technology (or possess equivalent experience)
- A minimum of three years of experience in back-end development is mandatory (with rare exemptions for highly experienced developers).
- Proficient in Python development with Django, or other equivalent frameworks.
- Considerable experience in automation, DevOps, Docker, and container networking.
- Familiarity with highly available, compute-intensive distributed applications.
- Comprehension of techniques for artificial intelligence and machine learning.
- Full grasp of operations and system management, with emphasis on Linux operational system.
- Adept in Docker and/or cloud deployment technologies, particularly proficient in Docker-compose, Docker Swarm, and Docker Engine.
- Possess application deployment proficiency by utilising CI/CD pipelines.
- Fluent in English to ensure effective communication.
- Required to work on a full-time basis (40 hours per week) with a four-hour overlap during US time zones.
- Proficiency in GNU/Linux is necessary.
- Familiarity with monitoring technologies like Prometheus, Grafana, Datadog, among others.
- Awareness of alerting technologies like OpsGenie, PagerDuty, among others.
- Proficient in Agile methodologies.
- Ability to articulate concepts to colleagues and clients.
- Exceptional problem-solving and organisational skills.