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Mohamed S., Senior XSLT Developer

Cairo, Egypt
Last Updated: 15 Mar 2024

- 11+ years of experience in IT - 10+ years of experience with XSLT/XML - Writing, testing and maintaining XSLT code that applies mapping on XML and output JATS XML & HTML - Familiar with many processing engines like Saxon (Java) - libxslt (C) - Python’s package - Upper-intermediate English - Available ASAP

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XML   10 yr.


XSLT   10 yr.

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Mohamed K., XSLT Developer

Cairo, Egypt
Last Updated: 15 Mar 2024
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- 12+ years of experience in IT - 10+ years of experience with XSLT - Writing, testing and maintaining the XSLT code that applies some filtration and conditions on XML - Converting IATA NDC Standard XML Content format into IATA NDC Standard XML format using XSLT - Familiar with many processing engines like Saxon (Java) - libxslt (C) - Python’s package - Upper-intermediate English - Available ASAP

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XSLT   10 yr.

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Alexander M., PHP Developer

Last Updated: 28 Sep 2023

- Experienced PHP developer with over 12 years of total work experience - Strong expertise in designing and developing new features, improving architecture, and enhancing performance - Proficient in OOP designing and development, CMS development using MVC, and creating interactive web interfaces with AJAX, JavaScript, and JQuery - Skilled in working with markup languages such as HTML, CSS, XML, and JSON - Familiar with various web and scripting technologies, including PHP (SMARTY, Yii, Zend, Symfony2, FuelPHP), Unix Shell, and client-side scripting with JavaScript and jQuery - Knowledgeable in client/server architecture, distributed systems, object-oriented design, networking, multitasking, and database programming - Experienced in project management using SCRUM and Agile methodologies, and proficient in version control systems like SVN and Git - Intermediate English

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PHP   12 yr.

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Dmytro R, Data Engineer

Kharkiv, Ukraine
Last Updated: 3 Nov 2023

- 5 years of experience as a Data Engineer; - Proficient in Java, Python, JavaScript, and Bash scripting; - Experienced in working with databases such as MSSQL, MySQL, Postgresql, MongoDB, Oracle, DynamoDB, and Redshift; - Skilled in using IDEs like Eclipse and IntelliJ IDEA; - Knowledgeable in Maven, Servlets API, OOP, design patterns, JDBC, Hibernate, JPA, log4j, Git, SVN, Spring core, Spring MVC, Springboot, Hadoop, Spark, JSON, boto3, SQL Alchemy, spark, Pyspark, AWS lambda, AWS CLI, Jenkins, Kafka, jetty, REST; - Has experience in various domains including data engineering, backend web development, and software development; - Holds certifications in AWS machine learning and problem-solving; - English: Upper-intermediate.

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JSON   5 yr.


Python   5 yr.

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Volodymyr A., Senior PHP Developer

Kharkiv, Ukraine
Last Updated: 18 Sep 2023

- Backend developer with 5 years of practical experience in software development. - Experienced in working with live projects based on various frameworks and CMS such as Laravel, Adapt-Framework, Symfony, WordPress, and Slim. - Proficient in programming languages including PHP, JavaScript, Node.js, Next.js, Vue.js, and Angular.js. - Familiar with technologies such as Xdebug, PSR, API, REST, AWS, HTML, CSS, XML, AJAX, JSON, OAuth, SOAP, SOLID, and DRY. - Skilled in using development environments and tools like PhpStorm, WebStorm, PyCharm, and Visual Studio. - Knowledgeable in source control systems like GIT and Mercurial. - Experienced in Agile, Scrum, and Waterfall methodologies and has a clear understanding of the full development life cycle and testing processes.

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PHP   5 yr.



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FAQs about JSON Development

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AI tools and expert human reviewers in the vetting process are combined with a track record and historically collected feedback from clients and teammates. On average, we save over 50 hours for client teams in interviewing JSON candidates for each job position. We are fueled by a passion for technical expertise, drawn from our deep understanding of the industry.

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Our journey starts with a 30-minute discovery call to explore your project challenges, technical needs, and team diversity. Meet Carefully Matched JSON Talents. Within 1-3 days, we’ll share profiles and connect you with the right talents for your project. Schedule a call to meet engineers in person. Validate Your Choice. Bring a new JSON developer on board with a trial period to confirm that you’ve hired the right one. There are no termination fees or hidden costs.

How does Upstaff vet remote JSON engineers? Arrow

Upstaff Managers conduct an introductory round with potential candidates to assess their soft skills. Additionally, the talent’s hard skills are evaluated through testing or verification by a qualified developer during a technical interview. The Upstaff Staffing Platform stores data on past and present JSON candidates. Upstaff managers also assess talent and facilitate rapid work and scalability, offering clients valuable insights into their talent pipeline. Additionally, we have a matching system within the platform that operates in real-time, facilitating efficient pairing of candidates with suitable positions.

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Table of Contents

How and where is JSON used?

Case NameCase Description
1. Web API CommunicationJSON is widely used for data exchange between web clients and servers. It allows for lightweight and efficient communication by providing a standardized format for representing and transmitting data. Web APIs use JSON to send and receive data, enabling seamless integration and interaction between different systems and platforms.
2. Configuration FilesJSON is commonly used for storing configuration settings and parameters. It provides a flexible and human-readable format that allows developers to easily define and modify configurations. Applications can parse JSON configuration files to retrieve various settings, such as database connection details, application preferences, or feature toggles.
3. Data SerializationJSON is frequently used for serializing and deserializing data. Serialization is the process of converting complex data structures into a format that can be easily stored or transmitted, while deserialization is the reverse process of reconstructing the data from its serialized form. JSON’s simplicity and compatibility with multiple programming languages make it an ideal choice for data serialization purposes.
4. NoSQL DatabasesMany NoSQL databases, such as MongoDB and CouchDB, use JSON as their primary data format. JSON’s flexible and schema-less nature aligns well with the dynamic nature of NoSQL databases. It allows for storing and retrieving data in a hierarchical and document-oriented manner, enabling efficient querying and indexing of complex data structures.
5. Real-Time Data StreamingJSON is often employed in real-time data streaming applications. Streaming platforms that handle large volumes of data, such as Apache Kafka or Amazon Kinesis, commonly use JSON for data representation. JSON’s lightweight and self-describing format make it suitable for transmitting and processing real-time data streams from diverse sources.
6. Mobile App DevelopmentJSON plays a crucial role in mobile app development. It is commonly used for exchanging data between mobile applications and backend servers through APIs. Mobile apps can consume JSON responses from APIs to display dynamic content, interact with web services, and facilitate seamless data synchronization across multiple devices.
7. Internet of Things (IoT)JSON is extensively utilized in IoT applications. IoT devices often generate and transmit sensor data in JSON format to communicate with cloud platforms or other connected devices. JSON’s lightweight and flexible structure allow for efficient representation of sensor readings, device status, and control commands in IoT ecosystems.
8. Web Application DevelopmentJSON is widely used in web application development for various purposes. It enables communication between the frontend and backend components of web applications through AJAX requests, allowing for dynamic content updates without page reloads. JSON is also utilized for storing and transmitting data within web application architectures, facilitating seamless data exchange and integration.

TOP 13 Tech facts and history of creation and versions about JSON Development

  • JSON stands for JavaScript Object Notation.
  • It was created in 2001 by Douglas Crockford, a renowned computer programmer.
  • JSON is a lightweight, human-readable data interchange format.
  • It is based on a subset of JavaScript programming language.
  • JSON is widely used for transmitting data between a server and a web application, as well as for storing and exchanging data.
  • One of the key advantages of JSON is its simplicity, making it easy for both humans and machines to read and write.
  • Unlike its predecessor, XML, JSON does not require closing tags and has a more concise syntax.
  • JSON supports various data types, including strings, numbers, booleans, arrays, and objects.
  • It is platform-independent and can be used with different programming languages.
  • JSON is extensible, allowing users to define their own data types and structures.
  • JSON has become the de facto standard for data interchange on the web due to its ease of use and widespread support.
  • There are multiple versions of JSON, with the latest being JSON 3, which includes additional features and improvements.
  • JSON has influenced the development of other data interchange formats, such as YAML and BSON.

Let’s consider Difference between Junior, Middle, Senior, Expert/Team Lead developer roles.

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 yearsAssisting in the development of software applications under the guidance of senior developers. Writing code, debugging, and performing basic testing. Learning and acquiring new skills.Approximately $50,000 – $70,000
Middle2-5 yearsWorking independently on assigned tasks and projects. Collaborating with team members, documenting code, and participating in code reviews. Developing software features and fixing bugs. Gaining deeper knowledge of specific technologies.Approximately $70,000 – $90,000
Senior5+ yearsLeading and mentoring junior and middle developers. Designing and implementing complex software solutions. Participating in architectural discussions and making technical decisions. Providing guidance and driving best practices within the team.Approximately $90,000 – $120,000
Expert/Team Lead8+ yearsLeading a team of developers, managing projects, and coordinating with stakeholders. Providing technical expertise and mentoring other team members. Taking responsibility for the overall success of the team’s projects. Collaborating with other teams and making strategic decisions.Approximately $120,000 – $150,000+

Soft skills of a JSON Developer

Soft skills are essential for a JSON Developer to excel in their role. These skills not only complement their technical expertise but also contribute to their overall effectiveness and success in the field. Here are the soft skills that JSON Developers should possess at different levels:


  • Effective Communication: Ability to clearly convey ideas and information to team members and stakeholders.
  • Problem-Solving: Capability to analyze and resolve issues related to JSON data structures and formats.
  • Attention to Detail: Being meticulous in JSON data entry and validation to ensure accuracy and quality.
  • Collaboration: Working well with others, participating actively in team discussions, and sharing knowledge.
  • Time Management: Prioritizing tasks, meeting deadlines, and efficiently managing workloads.


  • Leadership: Demonstrating leadership qualities by guiding junior developers and providing mentorship.
  • Adaptability: Being flexible and open to learning new JSON technologies and frameworks.
  • Client Management: Effectively understanding and addressing client requirements and concerns.
  • Critical Thinking: Evaluating complex JSON data structures to identify areas for improvement.
  • Teamwork: Collaborating with cross-functional teams to achieve project objectives.
  • Problem-Solving: Applying advanced JSON techniques to overcome complex data processing challenges.
  • Documentation: Creating comprehensive and well-structured JSON documentation.


  • Strategic Thinking: Developing long-term JSON data management strategies aligned with business goals.
  • Project Management: Leading JSON development projects, coordinating resources, and ensuring timely delivery.
  • Mentorship: Guiding and training junior and middle-level developers to enhance their JSON skills.
  • Quality Assurance: Establishing best practices for JSON data validation and ensuring data integrity.
  • Communication Skills: Effectively communicating JSON concepts and solutions to non-technical stakeholders.
  • Conflict Resolution: Resolving conflicts within the team and promoting a positive work environment.
  • Decision Making: Making informed decisions based on JSON data analysis and insights.
  • Continuous Learning: Staying up-to-date with the latest advancements in JSON technologies.

Expert/Team Lead

  • Strategic Planning: Orchestrating JSON development strategies at an organizational level.
  • Technical Leadership: Providing technical guidance and direction to the entire JSON development team.
  • Innovation: Driving innovation in JSON development processes and identifying new opportunities.
  • Resource Management: Allocating resources effectively to optimize JSON development projects.
  • Risk Management: Identifying and mitigating risks associated with JSON data management.
  • Collaboration with Stakeholders: Engaging with stakeholders to understand their JSON requirements and provide solutions.
  • Thought Leadership: Contributing to the JSON development community through research and publications.
  • Team Building: Building and nurturing high-performing JSON development teams.
  • Strategic Partnerships: Collaborating with external partners to enhance JSON capabilities.
  • Business Acumen: Understanding the business impact of JSON data management and leveraging it for organizational growth.
  • Decision-Making: Making critical decisions related to JSON architecture, scalability, and performance.

Cases when JSON does not work

  1. Invalid JSON Syntax: JSON requires strict adherence to its syntax rules. If the JSON data contains any syntax errors, it will fail to work. For example, missing or extra quotation marks, incorrect placement of commas or colons, or forgetting to enclose the keys and values in double quotes.
  2. Large JSON Data: JSON can become inefficient when dealing with large datasets. As the size of the JSON data increases, the parsing and processing time also increase. This can lead to performance issues and slower response times, especially in resource-constrained environments.
  3. Circular References: JSON does not support circular references, where an object refers to itself or refers to another object that eventually points back to the original object. When parsing such JSON data, it may result in infinite loops or unexpected behavior.
  4. Lack of Schema Validation: JSON does not have built-in support for schema validation. It means that JSON data may not always adhere to a predefined structure or set of rules. This can lead to compatibility issues and difficulties in ensuring data integrity and consistency.
  5. Security Concerns: JSON data can potentially be vulnerable to security risks such as JSON injection attacks. These attacks occur when untrusted data is injected into the JSON structure, leading to unintended consequences such as code execution or unauthorized access to sensitive information.
  6. Limited Data Types: JSON has a limited set of data types compared to other formats like XML or Protobuf. It supports basic types such as strings, numbers, booleans, arrays, and objects. However, more complex data types like dates, binary data, or custom types require additional handling and may not be handled efficiently by JSON.
  7. Performance Overhead: While JSON is a widely used and supported format, it may not always be the most performant option for all use cases. Parsing and serializing JSON can require significant computational resources, especially in resource-constrained environments or when dealing with high-frequency data updates.

What are top JSON instruments and tools?

  • JSONLint: JSONLint is a popular online JSON validator and formatter. It allows developers to validate and format their JSON data by checking for syntax errors and providing suggestions for improvement. JSONLint has been widely used since its release in 2006 and continues to be a go-to tool for JSON validation.
  • jq: jq is a lightweight and flexible command-line JSON processor. It provides a simple yet powerful way to extract, manipulate, and transform JSON data. jq has gained popularity among developers due to its ease of use and the ability to perform complex operations on JSON data with minimal code.
  • Postman: Postman is a comprehensive API testing tool that supports JSON as a data format. With its user-friendly interface, developers can easily send JSON requests, inspect responses, and automate API testing workflows. Postman has become a go-to tool for many developers and organizations when working with JSON-based APIs.
  • JSON Server: JSON Server is a simple and lightweight tool that allows developers to quickly set up a fake REST API using JSON data. It helps in prototyping and mocking API responses during development, making it a handy tool for frontend developers. JSON Server has gained popularity for its simplicity and ease of use.
  • JSON Web Tokens (JWT): JWT is an open standard for securely transmitting information between parties as a JSON object. It is widely used for authentication and authorization purposes in web applications. JWTs provide a compact and self-contained way to securely transmit JSON data, making them a popular choice for implementing stateless authentication systems.
  • JSON Schema: JSON Schema is a vocabulary that allows developers to annotate and validate JSON documents. It provides a way to define the structure, format, and constraints of JSON data. JSON Schema has gained traction for its ability to define and enforce data validation rules in a standardized and interoperable manner.
  • JSONata: JSONata is a lightweight query and transformation language specifically designed for working with JSON data. It provides a powerful and expressive syntax for querying and transforming JSON documents. JSONata has gained popularity for its ability to perform complex transformations on JSON data with ease.
  • Apache Kafka: Apache Kafka is a distributed event streaming platform that uses JSON as its default data format. It allows developers to build real-time data pipelines and stream processing applications. Kafka’s support for JSON makes it a popular choice for handling large volumes of data in a scalable and fault-tolerant manner.
  • JSON Feed: JSON Feed is a format for syndicating web content in JSON. It provides a simple and lightweight alternative to RSS and Atom feeds. JSON Feed has gained popularity for its ease of use and its ability to represent structured content in a human-readable and machine-friendly format.
  • JSON-P: JSON-P (JSON Processing) is a standard Java API for working with JSON data. It provides a set of classes and methods for parsing, generating, querying, and manipulating JSON documents. JSON-P has been included in the Java EE platform since version 7, making it a widely used tool for JSON processing in Java applications.

TOP 10 JSON Related Technologies

  • JavaScript

    JavaScript is the most popular programming language for JSON software development. It is widely used for both frontend and backend development due to its versatility and extensive libraries and frameworks.

  • JSON

    JSON (JavaScript Object Notation) is a lightweight data interchange format that is widely used in web development. It is human-readable and easy to parse, making it an ideal choice for data serialization and communication between client and server.

  • Node.js

    Node.js is a runtime environment that allows developers to run JavaScript code outside of the browser. It is commonly used for building scalable and high-performance server-side applications, making it a popular choice for JSON software development.

  • Express.js

    Express.js is a minimalistic web application framework for Node.js. It provides a set of robust features for building web applications and APIs, making it an excellent choice for JSON software development.

  • React

    React is a JavaScript library for building user interfaces. It allows developers to create reusable UI components, making it easier to manage complex UIs in JSON software development.

  • Angular

    Angular is a popular framework for building web applications. It provides a structured approach to building complex applications, making it a preferred choice for JSON software development.

  • Vue.js

    Vue.js is a progressive JavaScript framework for building user interfaces. It offers a simple and flexible approach to building web applications, making it suitable for JSON software development.

Hard skills of a JSON Developer

Hard skills of a JSON Developer


  • JSON parsing: Ability to parse JSON data and extract information using programming languages like JavaScript or Python.
  • JSON manipulation: Knowledge of manipulating JSON objects, arrays, and values to add, update, or delete data.
  • JSON validation: Understanding how to validate JSON data against a specific schema or structure to ensure its integrity.
  • Error handling: Proficiency in handling JSON parsing errors and exceptions to prevent application crashes or data corruption.
  • API integration: Experience in integrating JSON-based APIs into web or mobile applications to fetch and display data.


  • Advanced JSON manipulation: Mastery in complex JSON manipulation techniques like filtering, sorting, and transforming data.
  • JSON schema design: Ability to design and implement JSON schemas that define the structure, constraints, and validation rules for JSON data.
  • Data serialization: Knowledge of serializing JSON objects into different formats like XML, CSV, or YAML for data exchange and storage.
  • Performance optimization: Proficiency in optimizing JSON parsing and manipulation operations for faster execution and reduced memory footprint.
  • Error handling and logging: Expertise in implementing robust error handling mechanisms and logging strategies for JSON-related operations.
  • Database integration: Experience in integrating JSON data with databases, including querying, indexing, and storing JSON documents.
  • Security and data privacy: Understanding of JSON security best practices and techniques for securing JSON data during transmission and storage.


  • JSON schema validation: Proficiency in using advanced JSON schema validation libraries and tools to enforce complex data validation rules.
  • Performance tuning: Ability to analyze and optimize the performance of JSON-based applications by identifying bottlenecks and implementing optimizations.
  • Data transformation: Expertise in transforming JSON data into different structures or formats, including data aggregation, normalization, and denormalization.
  • API design: Knowledge of designing efficient and scalable JSON-based APIs, including defining endpoints, request/response formats, and authentication mechanisms.
  • Versioning and backward compatibility: Understanding of versioning strategies and techniques to ensure backward compatibility when evolving JSON schemas and APIs.
  • Data modeling: Proficiency in designing JSON data models that align with business requirements and enable efficient data storage, retrieval, and analysis.
  • Testing and debugging: Experience in writing unit tests, integration tests, and performing debugging to ensure the correctness and reliability of JSON-based code.
  • Documentation: Ability to create comprehensive documentation for JSON schemas, APIs, and code libraries to facilitate usage and maintenance by other developers.

Expert/Team Lead

  • Architectural design: Expertise in designing JSON-based architectures, including microservices, event-driven systems, and distributed systems.
  • Performance profiling: Mastery in using profiling tools and techniques to identify performance bottlenecks in JSON processing and optimize resource usage.
  • Code review and mentoring: Ability to conduct code reviews and provide guidance and mentorship to junior and mid-level JSON developers.
  • Standards and best practices: Deep understanding of JSON standards, best practices, and emerging trends in JSON development and data interchange.
  • Scalability and high availability: Knowledge of designing and implementing scalable and highly available JSON-based systems to handle large-scale data processing and storage.
  • Security auditing: Proficiency in performing security audits and vulnerability assessments to identify and mitigate potential security risks in JSON-based applications.
  • Performance monitoring: Ability to implement monitoring and alerting mechanisms to proactively monitor the performance and health of JSON-based systems.
  • Process improvement: Experience in driving process improvements and advocating for best practices in JSON development within the development team.
  • Project management: Proficiency in managing JSON development projects, including estimating efforts, coordinating tasks, and ensuring timely delivery.
  • Technical leadership: Strong leadership skills to guide and inspire a team of JSON developers, foster collaboration, and drive technical excellence.
  • Domain expertise: In-depth knowledge of specific domains or industries where JSON is extensively used, such as e-commerce, finance, or IoT.

TOP 13 Facts about JSON

  • JSON stands for JavaScript Object Notation.
  • It is a lightweight data interchange format used for transmitting data between a server and a web application.
  • JSON is easy for humans to read and write and easy for machines to parse and generate.
  • It is based on a subset of JavaScript Programming Language, Standard ECMA-262 3rd Edition – December 1999.
  • JSON is language-independent and can be used with most programming languages.
  • It supports various data types, including numbers, strings, booleans, arrays, objects, and null.
  • JSON data structures are represented using key-value pairs.
  • JSON syntax is simpler and more concise compared to XML, making it easier to work with.
  • It is widely used in web development for data exchange, configuration files, and API responses.
  • JSON is supported by all modern web browsers and many programming languages have built-in support for JSON.
  • It is widely used in RESTful APIs (Application Programming Interfaces) as a standard format for data exchange.
  • JSON data can be easily converted to and from other data formats like XML, CSV, and YAML.
  • JSON is considered a more lightweight alternative to XML, especially for web and mobile applications.

Pros & cons of JSON

6 Pros of JSON

  • JSON (JavaScript Object Notation) is a lightweight data interchange format that is easy to read and write.
  • It is human-readable and easy to understand, making it simple for developers to work with.
  • JSON is widely supported across different programming languages and platforms.
  • It has a simple syntax with key-value pairs, making it intuitive for data structuring.
  • JSON supports complex data structures, including arrays and nested objects.
  • It is widely used for web APIs and data exchange between client and server applications.

6 Cons of JSON

  • JSON does not support comments, which can make it difficult to document and annotate code.
  • It doesn’t have a standardized schema, so the structure of JSON data can vary between different implementations.
  • JSON can be less efficient in terms of file size compared to binary formats like Protocol Buffers or MessagePack.
  • It may not be the best choice for handling large datasets due to its text-based nature.
  • JSON does not have built-in support for data validation, so developers need to implement their own validation logic.
  • When parsing JSON data, there is a risk of security vulnerabilities like code injection if proper precautions are not taken.

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