Remote JavaScript/Django engineer jobs

We, at Turing, are looking for highly qualified remote JavaScript/Django engineers for developing responsive web applications and maintaining top-notch software products. Get the best opportunity to work with leading Silicon Valley companies and accelerate your career.

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Job description

Job responsibilities

  • Plan, design, and execute end-to-end web architecture
  • Create website layout/user interface to meet the project requirements
  • Write readable, testable, efficient and reusable code
  • Ensure feasibility of UI/UX designs
  • Integrate applications with server-side logic and functionalities
  • Identify and troubleshoot technical issues
  • Modify designs and specifications of complex applications
  • Suggest new improvements to enhance application performance
  • Collaborate with cross-functional teams to deliver high-quality products

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of software development experience using JavaScript/Django (rare exceptions for highly skilled developers)
  • Proficient with JavaScript and Python programming languages
  • Expertise with Django framework
  • Knowledge of other Python frameworks like Flask, Pyramid, web2py, etc.
  • Expertise in front-end technologies like HTML and CSS
  • Proficiency in JavaScript libraries and frameworks like ReactJS, Backbone JS, Angular JS, and more
  • Knowledge of professional software development best practices
  • Fluent in English to communicate effectively
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Familiarity with object-relational mapping (ORM) libraries
  • Experience working on AWS technologies
  • Working knowledge of database technologies such as SQL, MongoDB, etc.
  • Good analytical and problem-solving skills
  • Ability to work independently as well as within a team environment

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How to become a JavaScript/Django Engineer?

Javascript is everywhere. It is the primary programming language used to implement client-side functionality in browsers. Javascript's ubiquity ensures its continuing importance in web development and design. Javascript is an essential skill for those who want to work in the web development industry. It is by far the most commonly used programming language in web development and is a language that will continue to be considered an important skill for years to come.

The Django software offers a clean and pragmatic design, which makes it popular among Web developers who need a framework that can satisfy both fast-moving deadlines and a wide range of needs.

Django/Javascript has carved a niche for itself in the web application industry. Django and Javascript are increasingly being used by many companies thanks to their simplicity, reliability, scalability, and flexibility. Django and Javascript are the secret ingredients behind many successful websites.

What is the scope in JavaScript/Django Engineering?

Django is one of the top-ranking frameworks in the world and is used in a large number of web applications. And JavaScript is one of the leading programming languages. It is referred to as a language used primarily in web applications and is often referred to as the programming language of the web.

Javascript/Django is one of the most sought-after skill sets in the industry, and knowing both these tools for web development can help you get a job working on cutting-edge applications. While talking about the future of web apps, Javascript/Django has a lot to offer and can serve any modern web application structure. By using Javascript/Django, you can build professional and reliable applications. If you want to build a successful career in web development, you should learn Javascript/Django.

What are the roles and responsibilities of a JavaScript/Django engineer?

A JavaScript engineer is a software engineer who specializes in the design, testing, and implementation of web-based applications using the JavaScript programming language.
Django Developers assist the organization in designing and programming web applications. They look after the developing backend code which efficiently and effectively interfaces with front-end code to transact data. Also, they liaise with front-end developers regularly.
The roles and responsibilities of a JavaScript/Django engineer include:

  • Propose, develop, and implement end-to-end web architecture
  • Design website layout/user interface to meet the project requirements
  • Write decipherable, testable, effective, and recyclable code
  • Check the feasibility of UI/UX designs
  • Integrate server-side logic and functionalities into applications
  • Identify and resolve technical issues
  • Optimize designs and specifications of complex applications
  • Recommend new improvements to enhance application performance
  • Work with cross-functional teams to produce high-quality products

How to become a JavaScript/Django Engineer?

If you are a beginner, you should first concentrate on core concepts or fundamentals. Starting with online courses is the first step toward becoming a JavaScript/Django Engineer. You can improve your Django and JavaScript skills by enrolling in JavaScript/Django courses and training programs.

You can polish your programming skills by taking a JavaScript/Django course/training program. Once you've fully grasped the fundamental concepts of web development with JavaScript/Django and gained coding proficiency, you can take on small industry contracts or projects to hone your real-world development skills.

Working as a freelance JavaScript/Django Engineer will allow you to demonstrate your abilities to potential employers. These projects will, without a doubt, look great on your resume.

Let's take a look at the techniques and practices you'll need to learn to become a successful JavaScript/Django Engineer:

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Skills required to become a JavaScript/Django Engineer

The first phase involves learning the essential skills that will allow you to land high-paying jobs as a JavaScript/Django Engineer. Let's go over what you need to understand!

1. HTML & CSS

The Hypertext markup language (HTML) and cascading style sheets (CSS) are two systems that can closely connect a website's design with its content. HTML, or the framework in which a page is built, is what makes content recognizable as text in a browser. CSS provides fonts, colors, sizes, and styles to make a website visually impressive; right now, this site is using CSS to ensure that your display reopens at the same height you last viewed it. It also allows for movement on websites such as animated GIFs and image parallax effects like those found on Tumblr.

2. JavaScript

HTML and CSS are advantages to text-only websites as they are mainly static. JavaScript is also important for responsive websites that may want to include interactive features, such as polls, slideshows, forms, and touchscreen detection. JavaScript is a client-side programming language that lets you add dynamic features, including but not limited to page animation, scrolling, audio, video, to your website.

3. System Programming in Python

Python comes with built-in interfaces and operating system services, which makes it an ideal tool for developing portable programs and creating system administrative tools. An efficient Python code can find files and directories, run other programs, perform parallel computations (using multiple processes and threads), among many other things. The language also supports functional programming techniques such as higher-order functions and anonymous functions. Thus, it is crucial to learn and master system programming in order to be a successful web developer using the popular Django framework.

4. Web Scripting

Web scripting is the execution of client-side and server-side scripts to create dynamic Web pages and applications. Python provides modules for both modes of operation, which makes the implementation of complex web scripts simple. You can improve your skills with Python web scripting by improving your familiarity with available Python libraries and participating in Web development practice.

5. GUI Skills

Python’s simplicity and its ability to make rapid progress toward a graphical user interface (GUI) make the language suitable for GUI creation. In addition, Python offers several options for incorporating GUIs in programs, including Tkinter. The need for Django developers to understand Python’s GUI options makes it essential for them to learn about these tools.

Interested in remote javascript/Django developer jobs?

Become a Turing developer!

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How to get remote JavaScript/Django Engineer jobs?

Developers are a lot like athletes. In order to excel at their craft, they have to practice effectively and consistently. They also need to work hard enough that their skills grow gradually over time. In that regard, there are two major factors that developers must focus on in order for that progress to happen: the support of someone who is more experienced and effective in practice techniques while you're practicing. As a developer, it's vital for you to know how much to practice - so make sure there is someone on hand who will help you out and keep an eye out for any signs of burnout!

Turing offers the best remote JavaScript/Django engineer jobs that suit your career trajectories as a JavaScript/Django engineer. Grow rapidly by working on challenging technical and business problems on the latest technologies. Join a network of the world's best developers & get full-time, long-term remote JavaScript/Django engineer jobs with better compensation and career growth.

Why become a JavaScript/Django Engineer at Turing?

How much does Turing pay their JavaScript/Django engineers?

At Turing, every JavaScript/Django engineer is allowed to set their rate. However, Turing will recommend a salary at which we know we can find a fruitful and long-term opportunity for you. Our recommendations are based on our assessment of market conditions and the demand that we see from our customers.

Frequently Asked Questions

Turing is an AGI infrastructure company specializing in post-training large language models (LLMs) to enhance advanced reasoning, problem-solving, and cognitive tasks. Founded in 2018, Turing leverages the expertise of its globally distributed technical, business, and research experts to help Fortune 500 companies deploy customized AI solutions that transform operations and accelerate growth. As a leader in the AGI ecosystem, Turing partners with top AI labs and enterprises to deliver cutting-edge innovations in generative AI, making it a critical player in shaping the future of artificial intelligence.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

Our unique differentiation lies in the combination of our core business model and values. To advance AGI, Turing offers temporary contract opportunities. Most AI Consultant contracts last up to 3 months, with the possibility of monthly extensions—subject to your interest, availability, and client demand—up to a maximum of 10 continuous months. For our Turing Intelligence business, we provide full-time, long-term project engagements.

No, the service is absolutely free for software developers who sign up.

Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

Explore remote developer jobs

briefcase
Senior Fullstack Engineer - Backend Heavy

Job Overview

We are seeking a highly skilled Senior Full Stack Engineer with a strong focus on backend architecture and expertise in artificial intelligence (AI) to join our dynamic team. The ideal candidate will have 5-7 years of experience in designing, developing, and maintaining robust  full-stack applications, with deep expertise in Python, data structures, and backend database interactions, API design, authentication systems, and AI-driven technologies. You will play a critical role in architecting scalable, secure, and high-performance systems, integrating AI capabilities such as Retrieval-Augmented Generation (RAG), vector databases, large language model (LLM) APIs, and more to power our innovative solutions.

Key Responsibilities

● Design and implement scalable backend architectures for full-stack applications using Python and related frameworks (e.g., Django, Flask, FastAPI).
●  Develop and optimize complex data structures and algorithms to ensure efficient data processing and storage.
●  Architect and manage interactions with relational and non-relational databases (e.g., PostgreSQL, MongoDB) and vector databases (e.g., Pinecone, Weaviate) to support application and AI functionality.
●  Design, develop, and maintain secure, efficient, and well-documented RESTful APIs and GraphQL endpoints, integrating AI-driven features such as RAG and LLM APIs.
●  Implement robust authentication and authorization mechanisms (e.g., OAuth, JWT, SSO) to ensure system security.
●  Collaborate with frontend developers to integrate backend services and AI-powered features with user interfaces, ensuring seamless end-to-end functionality.
●  Develop and integrate AI solutions, including RAG pipelines, LLM API integrations (e.g., OpenAI, Hugging Face), and vector database queries for enhanced data retrieval and processing.
●  Perform data labeling, classification, and model training for AI-driven applications, ensuring high-quality datasets and model performance.
● Conduct red teaming exercises to evaluate and improve the security and robustness of AI systems and backend infrastructure.
●  Write clean, maintainable, and testable code, adhering to best practices and coding standards.
●  Design, implement, and maintain CI/CD pipelines to automate testing, deployment, and monitoring of backend and AI-driven applications, ensuring rapid and reliable delivery.
●  Optimize application and AI model performance, troubleshoot issues, and ensure high availability and reliability.
●  Mentor junior engineers, conduct code reviews, and contribute to architectural decisions, including AI strategy.
●  Stay updated on industry trends, emerging AI technologies, and backend development practices to recommend improvements and innovations.

Qualifications

● Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).
●  5-7 years of professional experience in full-stack development, with a strong emphasis on backend systems.
●  Expertise in Python and its ecosystems (e.g., Django, Flask, FastAPI) for building scalable applications.
●  Strong understanding of data structures, algorithms, and software design principles.
●  Extensive experience with database management, including SQL (e.g., PostgreSQL, MySQL), NoSQL (e.g., MongoDB, Redis), and vector databases (e.g., FAISS, Quadrant, Pinecone, Weaviate).  
●  Solid understanding of embeddings and how these work with vector databases
●  Proven ability to design and implement secure APIs (REST, GraphQL) and authentication systems (OAuth, JWT, etc.).
●  Experience with AI technologies, including RAG, LLM APIs (e.g., OpenAI, Hugging Face), vector databases, and model training/classification.
●  Familiarity with data labeling, preprocessing, and red teaming for AI model development and evaluation.
●  Knowledge of frontend technologies (e.g., JavaScript, React, Vue.js) to collaborate effectively with frontend teams.
●  Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes) is a plus.
●  Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
●  Excellent communication skills and a passion for mentoring and knowledge sharing.


Preffered Skills

● Experience with microservices architecture and distributed systems.
●  Knowledge of CI/CD pipelines and DevOps practices.
●  Familiarity with testing frameworks (e.g., pytest, unittest) and writing automated tests for both backend and AI components.
●  Understanding of AI security best practices, including red teaming and compliance standards (e.g., GDPR, OWASP).
●  Good understanding of AI techniques (e.g. (CoT, reasoning, MCP)
●  Contributions to open-source AI or backend projects or a strong portfolio showcasing relevant work.
●  Experience with frameworks like LangChain, LlamaIndex, or similar for building AI driven applications.

Interview Process

  • 1-2 technical rounds with the client

Offer Details

  • Full-time contractor (no benefits)
  • Remote only, full-time dedication (40 hours/week)
  • Required 4-6 hours overlap with Pacific Timezone
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork


-
11-50 employees
DjangoFlaskFastAPI+ 5
briefcase
Senior Fullstack Engineer - Frontend Heavy

Job Overview We are seeking a highly skilled Senior Full Stack Engineer with a strong focus on backend architecture and expertise in artificial intelligence (AI) to join our dynamic team. The ideal candidate will have 5-7 years of experience in designing, developing, and maintaining robust  full-stack applications, with deep expertise in Python, data structures, and backend database interactions, API design, authentication systems, and AI-driven technologies. You will play a critical role in architecting scalable, secure, and high-performance systems, integrating AI capabilities such as Retrieval-Augmented Generation (RAG), vector databases, large language model (LLM) APIs, and more to power our innovative solutions.  

Key Responsibilities

● Design and implement scalable backend architectures for full-stack applications using Python and related frameworks (e.g., Django, Flask, FastAPI).
●  Develop and optimize complex data structures and algorithms to ensure efficient data processing and storage.
●  Architect and manage interactions with relational and non-relational databases (e.g., PostgreSQL, MongoDB) and vector databases (e.g., Pinecone, Weaviate) to support application and AI functionality.
●  Design, develop, and maintain secure, efficient, and well-documented RESTful APIs and GraphQL endpoints, integrating AI-driven features such as RAG and LLM APIs.
●  Implement robust authentication and authorization mechanisms (e.g., OAuth, JWT, SSO) to ensure system security.
●  Collaborate with frontend developers to integrate backend services and AI-powered features with user interfaces, ensuring seamless end-to-end functionality.
●  Develop and integrate AI solutions, including RAG pipelines, LLM API integrations (e.g., OpenAI, Hugging Face), and vector database queries for enhanced data retrieval and processing.
●  Perform data labeling, classification, and model training for AI-driven applications, ensuring high-quality datasets and model performance.
● Conduct red teaming exercises to evaluate and improve the security and robustness of AI systems and backend infrastructure.
●  Write clean, maintainable, and testable code, adhering to best practices and coding standards.
●  Design, implement, and maintain CI/CD pipelines to automate testing, deployment, and monitoring of backend and AI-driven applications, ensuring rapid and reliable delivery.
●  Optimize application and AI model performance, troubleshoot issues, and ensure high availability and reliability.
●  Mentor junior engineers, conduct code reviews, and contribute to architectural decisions, including AI strategy.
●  Stay updated on industry trends, emerging AI technologies, and backend development practices to recommend improvements and innovations.

Qualifications

● Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).
●  5-7 years of professional experience in full-stack development, with a strong emphasis on backend systems.
●  Familiarity in Python and its ecosystems (e.g., Django, Flask, FastAPI) for building scalable applications.
●  Strong understanding of data structures, algorithms, and software design principles.
●  Extensive experience with database management, including SQL (e.g., PostgreSQL, MySQL), NoSQL (e.g., MongoDB, Redis), and vector databases (e.g., FAISS, Quadrant, Pinecone, Weaviate).
●  Solid understanding of embeddings and how these work with vector databases
●  Proven ability to design and implement secure APIs (REST, GraphQL) and authentication systems (OAuth, JWT, etc.).
●  Experience with AI technologies, including RAG, LLM APIs (e.g., OpenAI, Hugging Face), vector databases, and model training/classification.
●  Familiarity with data labeling, preprocessing, and red teaming for AI model development and evaluation.
●  Expertise in  frontend technologies (e.g., JavaScript, React, Vue.js) to collaborate effectively with backend teams.
●  Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes) is a plus.
●  Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
●  Excellent communication skills and a passion for mentoring and knowledge sharing.

Preffered Skills

● Experience with microservices architecture and distributed systems.
●  Knowledge of CI/CD pipelines and DevOps practices.
●  Familiarity with testing frameworks (e.g., pytest, unittest) and writing automated tests for both backend and AI components.
●  Understanding of AI security best practices, including red teaming and compliance standards (e.g., GDPR, OWASP).
●  Good understanding of AI techniques (e.g. (CoT, reasoning, MCP)
●  Contributions to open-source AI or backend projects or a strong portfolio showcasing relevant work.
●  Experience with frameworks like LangChain, LlamaIndex, or similar for building AI driven applications.  

Interview Process

  • 1-2 technical rounds with the client

Offer Details

  • Full-time contractor (no benefits)
  • Remote only, full-time dedication (40 hours/week)
  • Required 4-6 hours overlap with Pacific Timezone
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork
-
11-50 employees
ReactVue.jsAngular+ 5
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