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Serg K., QA Engineer with QA Automation Engineer, Data Quality

Lviv, Ukraine
Last Updated: 4 Jul 2023
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- 5 years with QA automation - Strong testing theory understanding. Defect life cycle and issue workflow understanding, Experience in creating and executing test cases. Reporting - Experience with data and BI tools - DevOps experience with CI/CD, pipelines, Docker, AWS, SQL

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QA Automation

QA Automation   5 yr.

Python

Python

CI/CD

CI/CD

Amazon Web Services (AWS)

Amazon Web Services (AWS)

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Siarhei, Full-Stack Developer

Poland
Last Updated: 21 Nov 2023

Experienced Full-Stack developer with over 5 years of commercial development experience. Skilled in various programming languages and technologies including ASP.NET, .NET, SQL, MSSQL, MongoDb, PostgreSQL, JS, Angular, React, Razor, jQuery, Knockout.js, EF, ADO.NET, MediatR, Web API, Docker, Win Forms, WCF, WPF, Azure, and Swagger. Proficient in software development methodologies, principles, paradigms, and patterns. Strong background in computer science education. Successfully completed multiple projects, including the creation of an MVP for a startup, solution for warehouses and industrial facilities, module for big systems, and a huge enterprise project with desktop, web, and mobile apps. Achievements include architecture design, bug fixing, code refactoring, database management, research and estimation of tasks, and unit testing. Standout profile with technical expertise and domain knowledge in automated information processing systems.

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ASP.NET MVC Pattern

ASP.NET MVC Pattern   5 yr.

.NET

.NET   5 yr.

SQL

SQL   5 yr.

Azure MSSQL

Azure MSSQL   4 yr.

MongoDB

MongoDB   1 yr.

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Mark L., SOFTWARE ENGINEER

Georgia
Last Updated: 26 Feb 2024

Software engineer with a comprehensive background in full-stack and blockchain development. Proficient in languages like Rust, Solidity, TypeScript, C#, and C++, with 3 years in JavaScript and Solidity. Strong focus on blockchain ecosystems, having utilized Solidity, Ink!, and Substrate across various innovative projects, including a SPL-token creation using Solana and a cybersecurity platform for Earth satellites leveraging blockchain tech. Experienced in both front-end and back-end paradigms, employing .NET 7, ASP.NET, and React, and tools like Docker and Swagger for deployment and API management. Responsible for leading the development of complex web3 applications, such as a staking platform and a branded shoe online store, showcasing a strong understanding of SDLC, including testing with tools like Hardhat and Foundry. The engineer's project roles demonstrate an ability to handle full-stack responsibilities and a proven track record in delivering robust, scalable applications in diverse domains such as game development, e-commerce, and NFTs.

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JavaScript

JavaScript   3 yr.

TypeScript

TypeScript   3 yr.

Rust

Rust   3 yr.

Solidity

Solidity   3 yr.

Solana

Solana

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Mykhail, Flutter Developer

Kyiv, Ukraine
Last Updated: 17 Jan 2024

-Over 5 years of commercial experience in software development - Experienced have deep knowledge and versatile skills in building cross-platform apps for iOS and Android. -Proficient in Dart, Kotlin, and Java, Flutter SDK - Technical toolkit: OOP, Data structures and algorithms, Asynchrony and Isolates, Flutter SDK, MVC, MVP, MVI, Clean Architecture, Provider, Freezed, BLoC, Design patterns, Material Design, Firebase services (Auth, Firestore Realtime Database), Multithreading Principles, REST API, Coroutines, RX, Flame, Flame Audio, Google Analytics/Crashlytics, Flutter Web, Freezed, Swagger Generator. - Extensive experience in software quality assurance - Experience includes a variety of projects in different industries such as Social Media, Education and Recruitment Management Systems, and many others.

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Dart

Dart   5 yr.

Kotlin

Kotlin

Java

Java

Flutter SDK

Flutter SDK   5 yr.

OOP

OOP

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Oleg D., QA Automation and manual testing Engineer

Ukraine
Last Updated: 15 Sep 2023

Software QA engineer with over 5 years of experience in the IT industry and more than 10 years of experience in engineering and testing algorithms for rocket-embedded systems. - Strong knowledge in the QA domain; - Good knowledge in creating testing frameworks; - Experienced in project and test documentation design using Jira, Confluence, Redmine, Zephyr, and Softest; - Skilled in mobile automation testing for iOS and Android platforms using Appium, Selenium, Java, TestNG, Allure, Jenkins, and Git; - Proficient in cross-browser testing using BrowserStack and Chrome DevTools; - Experienced in API testing using Swagger and Postman; - Familiar with working with databases such as PostgreSQL and DBeaver; - Strong communication and collaboration skills.

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Appium

Appium

Android

Android

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FAQs about Swagger 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 Swagger 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 Swagger 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 Swagger 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 Swagger 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 Swagger 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

TOP 15 Facts about Swagger

  • Swagger is an open-source software framework that allows developers to design, build, document, and consume RESTful web services.
  • It was originally developed in 2011 by Tony Tam and is now maintained by the SmartBear Software company.
  • Swagger provides a set of tools and specifications, including the Swagger Editor, Swagger UI, and Swagger Codegen, which aid in the development process.
  • Swagger uses the OpenAPI Specification (formerly known as Swagger Specification) to define and document APIs in a machine-readable format.
  • The OpenAPI Specification is based on JSON or YAML and provides a standardized way to describe RESTful web services.
  • One of the key features of Swagger is its ability to generate interactive documentation for APIs, making it easier for developers to understand and consume the services.
  • Swagger UI, one of the tools provided by Swagger, automatically generates a user-friendly interface for exploring and testing API endpoints.
  • Swagger Codegen allows developers to automatically generate client libraries, server stubs, and API documentation based on the provided API specification.
  • Swagger supports multiple programming languages, including Java, C#, Python, Ruby, and JavaScript, making it versatile for developers from different backgrounds.
  • Swagger simplifies the process of API development by providing a single source of truth for the API specification, which can be used by both developers and non-technical stakeholders.
  • Using Swagger, developers can easily share and collaborate on API designs, reducing communication barriers and improving overall development efficiency.
  • Swagger is widely adopted by many companies and organizations, including Microsoft, IBM, PayPal, and Slack, among others.
  • SmartBear Software, the company behind Swagger, offers commercial products and services built on top of Swagger, including SwaggerHub, a cloud-based API design and documentation platform.
  • Swagger provides built-in support for authentication and authorization mechanisms, allowing developers to secure their APIs using industry-standard security protocols.
  • Swagger is constantly evolving, with regular updates and new features being added to enhance the development experience and meet the changing needs of the API community.

Soft skills of a Swagger Developer

Soft skills are essential for a Swagger Developer as they contribute to effective collaboration, communication, and overall project success. Here are the key soft skills required at different levels of experience:

Junior

  • Adaptability: Ability to quickly learn and adapt to new technologies and tools.
  • Problem-solving: Strong analytical skills to identify and resolve issues efficiently.
  • Teamwork: Collaboration with team members to achieve project goals.
  • Attention to Detail: Paying close attention to small details for accurate documentation.
  • Time Management: Efficiently managing tasks and meeting deadlines.

Middle

  • Leadership: Guiding and mentoring junior developers in Swagger development.
  • Communication: Effectively communicating technical concepts to non-technical stakeholders.
  • Negotiation: Skillfully negotiating requirements and expectations with clients or project managers.
  • Conflict Resolution: Resolving conflicts within the team in a diplomatic and constructive manner.
  • Creative Thinking: Thinking outside the box to find innovative solutions.
  • Quality Assurance: Ensuring high-quality Swagger documentation and adherence to coding standards.
  • Project Management: Ability to manage multiple projects and prioritize tasks effectively.

Senior

  • Strategic Thinking: Developing long-term strategies for Swagger development and integration.
  • Client Relationship Management: Building and maintaining strong relationships with clients.
  • Technical Leadership: Providing technical guidance and mentorship to other developers.
  • Business Acumen: Understanding the business context and aligning Swagger development with organizational goals.
  • Presentation Skills: Delivering impactful presentations to stakeholders and clients.
  • Continuous Learning: Keeping up with the latest trends and advancements in Swagger and API development.
  • Empathy: Understanding the needs and perspectives of team members and stakeholders.
  • Decision-making: Making informed decisions based on analysis and critical thinking.

Expert/Team Lead

  • Strategic Planning: Developing and implementing long-term Swagger development strategies.
  • Team Management: Leading and managing a team of Swagger Developers.
  • Influence and Persuasion: Convincing stakeholders and clients about the value of Swagger development.
  • Risk Management: Identifying and mitigating risks associated with Swagger development projects.
  • Change Management: Managing and facilitating smooth transitions during changes in Swagger development processes.
  • Innovation: Driving innovation in Swagger development practices and tools.
  • Collaboration: Facilitating effective collaboration between different teams and departments.
  • Business Development: Identifying new business opportunities and contributing to business growth.
  • Crisis Management: Effectively handling crises and resolving complex issues.
  • Strategic Partnerships: Building strategic partnerships with other organizations in the Swagger ecosystem.
  • Thought Leadership: Contributing to the Swagger community through blog posts, presentations, and open-source contributions.

How and where is Swagger used?

Case NameCase Description
API DocumentationSwagger Development is widely used for generating interactive and comprehensive API documentation. It allows developers to easily describe the structure and functionality of their APIs using the Swagger specification. With Swagger UI, developers can then visualize and explore the API documentation in a user-friendly manner, enabling easier adoption and usage by other developers.
API TestingSwagger Development provides a powerful framework for API testing. By defining the API endpoints, request and response structures, and input validation rules within the Swagger specification, developers can automatically generate API test cases. These test cases can be executed using various testing tools and frameworks, ensuring the correctness and reliability of the API implementation.
API MockingSwagger Development allows developers to create mock APIs based on the Swagger specification. Mock APIs mimic the behavior of the actual APIs by generating sample responses for different requests. This is particularly useful during the early stages of API development when the actual backend implementation might not be ready. Mocking the APIs helps frontend developers to design and develop their applications without being dependent on the backend services.
API Code GenerationSwagger Development facilitates the generation of server-side and client-side code for implementing and consuming APIs respectively. By providing a Swagger specification, developers can automatically generate boilerplate code in various programming languages, reducing the manual effort required for API integration. This accelerates the development process and ensures consistency between the API documentation and the actual code implementation.
API VersioningSwagger Development supports versioning of APIs by allowing developers to define different versions of their APIs within the Swagger specification. This enables seamless transitioning between different API versions without breaking the existing integrations. API consumers can easily identify and switch between different versions based on their requirements, ensuring backward compatibility and smooth migration.
API CollaborationSwagger Development promotes collaboration among developers working on API-related projects. By using Swagger tools and libraries, developers can easily share and synchronize the Swagger specification across different teams and individuals. This enables efficient communication and coordination, ensuring that all stakeholders are aligned with the API design and implementation.

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 senior developers in coding, testing, and debugging activities. Learning and acquiring new skills and technologies. Working on smaller and less complex tasks under supervision.$50,000-$70,000
Middle2-5 yearsDesigning and implementing software solutions. Collaborating with the team to gather requirements and provide technical guidance. Working on moderately complex projects and taking ownership of specific modules or components.$70,000-$90,000
Senior5-10 yearsLeading the development of major software projects. Mentoring junior and middle developers. Participating in architectural design and decision-making processes. Solving complex technical problems and optimizing performance.$90,000-$120,000
Expert/Team Lead10+ yearsLeading a team of developers and overseeing multiple projects. Setting technical direction and ensuring high-quality deliverables. Collaborating with stakeholders to define project goals and strategies. Providing guidance and mentorship to the team.$120,000-$150,000+

Cases when Swagger does not work

  1. Invalid or missing input parameters: Swagger relies on accurate and complete input parameters to generate correct API documentation. If your API endpoints have missing or incorrect parameters, Swagger will not be able to accurately document them.
  2. Unsupported or custom authentication mechanisms: Swagger has built-in support for common authentication mechanisms like OAuth and API keys. However, if your API uses a custom or unsupported authentication mechanism, Swagger may not be able to generate accurate documentation for it.
  3. Complex response structures: Swagger excels at documenting simple and straightforward response structures. However, if your API returns complex or nested response structures, Swagger may struggle to represent them accurately in the documentation.
  4. Dynamic or runtime-based behavior: Swagger operates based on the static analysis of your API code and configuration. If your API has dynamic or runtime-based behavior, such as generating endpoints or response structures on-the-fly, Swagger may not be able to capture these accurately.
  5. Unsupported programming languages or frameworks: Swagger has robust support for popular programming languages and frameworks. However, if you are using a less common or unsupported language or framework, you may encounter limitations or compatibility issues with Swagger.
  6. Conflicts with other tools or libraries: Swagger may not work as expected if there are conflicts or compatibility issues with other tools or libraries used in your API project. These conflicts can result in incorrect or incomplete documentation generated by Swagger.

It is important to note that these limitations are not inherent flaws of Swagger itself, but rather specific scenarios where it may not be able to provide optimal documentation. In many cases, it is possible to overcome these limitations by tweaking your API code or configuration, or by using additional Swagger extensions or plugins tailored to your specific use case.

TOP 10 Swagger Related Technologies

  • Programming Languages

    Programming languages are the building blocks of any software development process. For Swagger software development, some of the most popular languages include:

  • Java

    Java is a widely-adopted, object-oriented programming language known for its scalability and platform independence. It is a great choice for developing Swagger applications due to its vast ecosystem and strong community support.

  • JavaScript

    JavaScript is a versatile programming language that is commonly used for web development. With the rise of Node.js, JavaScript has become a popular choice for implementing Swagger APIs on the server-side.

  • Python

    Python is a high-level, versatile programming language known for its simplicity and readability. It has extensive libraries and frameworks that make it a preferred language for Swagger development, especially for data processing and scripting tasks.

  • Frameworks

    Frameworks provide a structured approach to building applications and can significantly speed up development time. Here are a few popular frameworks for Swagger software development:

  • Express.js

    Express.js is a minimalist web application framework for Node.js that simplifies the creation of RESTful APIs. It provides robust routing, middleware support, and integrates well with Swagger for documenting and testing APIs.

  • Spring Boot

    Spring Boot is a popular Java framework for building enterprise-level Swagger applications. It provides a comprehensive set of tools and features, including auto-configuration, which reduces boilerplate code and improves productivity.

  • Flask

    Flask is a lightweight web framework for Python that is easy to learn and use. It is well-suited for Swagger development due to its simplicity and extensibility. Flask integrates seamlessly with Swagger to create RESTful APIs with minimal effort.

Pros & cons of Swagger

9 Pros of Swagger

  • Standardization: Swagger provides a standardized way to design, build, and document APIs, making it easier for teams to collaborate and communicate.
  • Automatic API Documentation: Swagger automatically generates interactive API documentation, reducing the time and effort required to create and maintain documentation manually.
  • Client SDK Generation: Swagger allows for the automatic generation of client SDKs in multiple programming languages, enabling developers to easily consume and integrate with the API.
  • Server Stub Generation: Swagger can also generate server stubs, providing a starting point for server-side implementation and reducing development time.
  • Validation and Testing: Swagger supports input and output validation, making it easier to ensure that the API is working correctly and reducing the chances of introducing errors.
  • API Versioning: Swagger supports API versioning, allowing for the management of different versions of the API and facilitating backward compatibility.
  • API Visualization: Swagger provides a visual representation of the API, making it easier to understand and navigate the different endpoints and operations.
  • Integration with Development Tools: Swagger can be integrated with various development tools, such as IDEs and testing frameworks, enhancing the development workflow.
  • Large Community and Ecosystem: Swagger has a large and active community, with extensive documentation, tutorials, and support available, making it easier to find help and resources.

9 Cons of Swagger

  • Learning Curve: Swagger has a learning curve, especially for developers who are new to API design and documentation standards.
  • Complexity for Small Projects: For small projects with simple APIs, the overhead of using Swagger may outweigh the benefits.
  • Overreliance on Code Generation: Relying too heavily on code generation from Swagger may lead to less flexible and maintainable code.
  • Potential for Bloated Documentation: If not properly managed, Swagger-generated documentation can become bloated and difficult to navigate.
  • Dependency on Swagger Tools: Using Swagger requires dependency on Swagger tools and libraries, which may introduce additional complexity and maintenance overhead.
  • Versioning Challenges: While Swagger supports API versioning, managing multiple versions of the API can still be challenging, especially in complex scenarios.
  • Limited Flexibility: Swagger has certain limitations and may not accommodate all possible customizations or requirements.
  • Performance Impact: The overhead of parsing and processing Swagger specifications can impact API performance, especially for high-traffic or latency-sensitive applications.
  • Security Considerations: Swagger documentation can unintentionally expose sensitive information about the API, requiring careful handling and security measures.

What are top Swagger instruments and tools?

  • Swagger UI: Swagger UI is a popular open-source tool that allows developers to visualize and interact with APIs defined with the Swagger specification. It provides a user-friendly interface for exploring and testing APIs, making it easier to understand the structure and functionality of an API. Swagger UI has been widely adopted since its initial release in 2011 and is regularly updated and maintained.
  • Swagger Editor: Swagger Editor is another essential tool in the Swagger ecosystem. It provides a web-based interface for designing, building, and documenting APIs using the Swagger specification. With features like auto-completion, real-time error checking, and interactive documentation preview, Swagger Editor helps developers create accurate and well-documented APIs. It was first released in 2015 and has become a go-to choice for API designers and developers.
  • Postman: Postman is a comprehensive API development environment that supports Swagger and OpenAPI specifications. While not exclusively built for Swagger, it offers robust features for API testing, documentation, and collaboration. Postman has gained immense popularity since its launch in 2012 and is widely used by developers and organizations to streamline their API workflows.
  • Stoplight: Stoplight is an API design and documentation tool that supports the Swagger specification. It provides a unified platform for designing, mocking, testing, and documenting APIs. Stoplight offers an intuitive interface and features like collaborative editing, version control, and automated documentation generation. Founded in 2015, Stoplight has quickly gained traction in the API development community.
  • Apigee: Apigee, now part of Google Cloud, is a full-featured API platform that also supports the Swagger specification. It offers a range of tools for API design, security, analytics, and management. Apigee has been around since 2004 and has a strong presence in enterprise API management, serving numerous large-scale organizations.
  • RepreZen: RepreZen is an API design and modeling platform that supports Swagger and OpenAPI specifications. It provides a visual interface for designing APIs, generating code, and creating interactive documentation. RepreZen was introduced in 2014 and has gained recognition for its advanced modeling capabilities and code generation features.
  • SmartBear SwaggerHub: SwaggerHub is a cloud-based platform that offers a complete set of tools for designing, building, and documenting APIs using the Swagger specification. It provides features like collaborative API design, version control, automated documentation, and API mocking. SwaggerHub is part of the SmartBear Software suite, a well-established company in the API tools market.

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