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Stanislava B., Test Automation Engineer

Last Updated: 4 Mar 2024

- Software Test Automation Engineer with 8 years experience in testing different projects for different OS and Application Servers - Experience with Python automated testing - Experience in writing technical documentation - Good communication skills, ability to learn new software and process quickly and efficiently - Creating Autotests for Web and Mobile, API Testing, and Performance Testing. Mobile and desktop testing. - Good teamwork, aimed for the outcome, stress-resistance, attention to details and analytical mind.

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API testing

API testing

Python

Python   4 yr.

PyTest

PyTest   4 yr.

Selenium Webdriver

Selenium Webdriver   4 yr.

QA Automation

QA Automation   4 yr.

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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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API testing

API testing

Appium

Appium

Android

Android

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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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Language Verified
Programming Skills Verified
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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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API testing

API testing

QA Automation

QA Automation   5 yr.

Python

Python

CI/CD

CI/CD

Amazon Web Services (AWS)

Amazon Web Services (AWS)

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Yurii B., QA Automation Engineer (C#, .NET)

Malaga, Spain
Last Updated: 4 Dec 2023

- Software Test Automation Engineer with 6+ years of experience with knowledge and hands-on experience in UI and API test automation - Experienced in the next practices: Raising Efficiency of Test Automation, Test Automation Approaches, Development in .NET ecosystem (Test Automation), Test Automation Framework Architecture, GUI Testing, Web Service / API Testing, Testing Fundamentals, Quality Gates, Component / Integration Testing; - Good knowledge and practical skills in C#, Selenium, Coded UI, MSTest (v1 & v2), TFS, Azure DevOps, Azure Cloud, YAML pipelines and custom C# solutions - Experience in API Performance testing; custom solution was created from scratch in C# .NET Core - Hands-on experience in designing Test Cases, Test Suites, and Bug Reports, as well as identifying issues - Experience in designing and implementing automated tests and test results analysis

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API testing

API testing

C#

C#   6 yr.

.NET

.NET   6 yr.

UI testing

UI testing

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Vitalii Y., QA Engineer

Portugal
Last Updated: 11 Sep 2023

- Experienced and well-organized QA Engineer with extensive knowledge of testing and quality assurance methodologies. - Proficient in Java, API testing, Cucumber, Manual Testing, Bug Tracking, Selenium, IntelliJ IDEA, Redmine, Maven, Automated UI Testing, Test Design, Usability Testing, Regression Testing, Functional Testing, Jenkins, Gitlab CI, Git, Checklist, Jira, XRay, open-api-generator, Junit5, Rest-assured, Kong unirest. - Holds a degree in Computer Science from Odessa National Polytechnic University. - Has a strong background in software testing and test automation. - Worked at reputable companies such as IntellectEU, Jelvix, DataArt, Cryptocurrency project, and Uplata (finTech). - Experienced in developing automated tests for UI and API using various frameworks and tools. - Proficient in cross-browser testing, regression testing, front-end and back-end functional testing, and UI testing.

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API testing

API testing

Java

Java

Cucumber

Cucumber

Selenium

Selenium

Functional Testing

Functional Testing

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FAQs about API testing Development

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If you urgently need a verified and qualified API testing developer, and resources for finding the right candidate are lacking, UPSTAFF is exactly the service you need. We approach the selection of API testing developers professionally, tailored precisely to your needs. From placing the call to the completion of your task by a qualified developer, only a few days will pass.

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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 API testing 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 API testing 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 API testing 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 API testing 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 API testing 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

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 and maintenance of software applications, writing code under the guidance of senior developers, debugging and troubleshooting code issues, participating in code reviews, and learning new technologies and programming languages.$50,000 – $70,000
Middle2-5 yearsDesigning and implementing software solutions, collaborating with cross-functional teams to gather requirements, writing and refactoring code, conducting unit testing and debugging, providing technical guidance to junior developers, and contributing to the overall software architecture and design.$70,000 – $90,000
Senior5-10 yearsLeading software development projects, defining technical strategies and roadmaps, mentoring and coaching junior and middle developers, conducting code reviews, optimizing performance and scalability of applications, resolving complex technical issues, and collaborating with stakeholders to ensure project success.$90,000 – $120,000
Expert/Team Lead10+ yearsManaging a team of developers, setting project goals and priorities, providing technical leadership and guidance, evaluating and implementing new technologies and frameworks, collaborating with product owners and stakeholders, driving innovation and process improvements, and ensuring high-quality deliverables and successful project execution.$120,000 – $150,000+

How and where is API testing used?

Case NameCase Description
1. Integration TestingAPI testing is crucial for ensuring smooth integration between different systems or components. By testing the APIs that connect these systems, developers can identify any compatibility issues or communication failures that may arise, allowing them to address and resolve them before deployment.
2. Performance TestingAPI testing can be used to assess the performance and scalability of an application or system. By simulating various user requests and analyzing the response times and resource utilization, developers can identify any bottlenecks or performance issues within the API infrastructure. This helps in optimizing the system’s performance and ensuring its stability under different loads.
3. Security TestingAPIs often handle sensitive data and perform critical operations. API testing helps in identifying security vulnerabilities such as unauthorized access, data breaches, injection attacks, or insufficient encryption. By systematically testing the API endpoints and input validation mechanisms, developers can ensure the overall security of the system and protect it from potential threats.
4. Error Handling and Exception TestingAPIs need to handle various error scenarios gracefully. By performing error handling and exception testing, developers can validate if the API responds appropriately to different error conditions, such as invalid inputs, network failures, or server errors. This ensures that the API provides meaningful error messages and handles exceptions correctly, enhancing the overall user experience.
5. Regression TestingAPIs are often updated or modified as part of ongoing development. Regression testing ensures that any changes or enhancements made to the API do not break the existing functionality. By creating a comprehensive suite of API tests and regularly running them, developers can quickly identify any regressions and ensure that the API continues to function as expected.
6. Mocking and VirtualizationAPI testing allows developers to create mock APIs or virtualize the behavior of external APIs. This is beneficial when certain dependencies are not available or when testing needs to be done in isolation. Mocking and virtualization enable developers to simulate different scenarios and test the API’s behavior without relying on the actual implementation or external services.
7. Versioning and Compatibility TestingAPIs often evolve over time, with new versions being released. Compatibility testing ensures that applications using the API can seamlessly transition to newer versions without any disruptions or compatibility issues. By testing different versions of the API and validating backward compatibility, developers can ensure a smooth upgrade process for their users.
8. Load TestingAPI testing can be used to assess the performance and stability of an API under high load conditions. By simulating a large number of concurrent requests and monitoring the API’s response times and resource consumption, developers can identify any performance bottlenecks or scalability issues. Load testing helps in optimizing the API’s performance and ensuring its reliability under heavy usage.
9. API Documentation ValidationAPI testing can also be used to validate the accuracy and completeness of API documentation. By comparing the actual behavior of the API with its documented specifications, developers can ensure that the documentation is up to date and reflects the API’s current functionality. This helps in providing accurate information to API consumers and reducing confusion or misunderstandings.
10. Continuous Integration and DeploymentAPI testing is an essential part of the continuous integration and deployment (CI/CD) process. By integrating API tests into the CI/CD pipeline, developers can automatically validate the API’s functionality and performance with each code change or deployment. This ensures that any issues or regressions are identified early in the development cycle, reducing the risk of delivering faulty APIs to production.

TOP 10 Facts about API testing

  • API stands for Application Programming Interface. It is a set of rules and protocols that allows different software applications to communicate with each other.
  • API testing is a type of software testing that focuses on testing the functionality, reliability, performance, and security of APIs.
  • API testing helps identify any issues or bugs in the API implementation, ensuring that it works as intended and meets the requirements.
  • API testing can be done manually or using automated testing tools. Automated testing tools are preferred for API testing as they provide faster and more accurate results.
  • API testing involves testing various aspects of an API, including request and response handling, error handling, authentication and authorization, data validation, and performance under different loads.
  • API testing is essential for ensuring the interoperability of different software systems. It allows developers to verify that their APIs can communicate effectively with other APIs and external systems.
  • API testing plays a crucial role in the development of web and mobile applications, as APIs are used extensively for integrating different services and functionalities.
  • API testing helps identify security vulnerabilities in APIs, such as unauthorized access, injection attacks, cross-site scripting (XSS), and cross-site request forgery (CSRF).
  • API testing can be done at different stages of the software development lifecycle, including unit testing, integration testing, and system testing.
  • API testing is becoming increasingly important with the rise of microservices architecture, where APIs serve as the primary means of communication between different microservices.

Cases when API testing does not work

  1. Inadequate API documentation: One common scenario where API testing may not work effectively is when the API documentation is incomplete, outdated, or unclear. Insufficient documentation can lead to misunderstandings and misinterpretations, making it challenging for testers to determine the expected behavior of the API endpoints. Without a clear understanding of the API’s functionality and supported parameters, testers may struggle to design accurate test cases and verify the API’s behavior accurately.
  2. Unstable or unreliable API endpoints: API testing heavily relies on the availability and stability of the API endpoints. If the API endpoints are frequently down or exhibit inconsistent behavior, it can impede effective testing. Flaky API endpoints can result in false positives or false negatives in test results, making it difficult to assess the actual reliability and performance of the API. Testers may encounter difficulties reproducing issues or validating expected responses due to the intermittent availability or instability of the API.
  3. Complex authorization and authentication mechanisms: APIs often require authentication and authorization mechanisms to ensure secure access and protect sensitive data. However, when the authentication and authorization mechanisms are overly complex or poorly implemented, it can hinder the effectiveness of API testing. Testers may face difficulties in setting up the necessary credentials, understanding the token generation process, or dealing with various authentication protocols. This can lead to incomplete test coverage or incorrect handling of authorization-related scenarios.
  4. Limitations in test environments: API testing typically requires dedicated test environments that closely resemble the production environment to ensure accurate results. However, limitations in the test environment, such as inadequate resources, restricted access to external dependencies, or inconsistent data sets, can impact the effectiveness of API testing. Without a reliable and representative test environment, testers may struggle to simulate real-world scenarios, making it challenging to uncover potential issues or validate the API’s behavior accurately.
  5. Dependencies on external systems: APIs often rely on external systems or third-party services to fulfill their functionality. When these external dependencies are unavailable, unstable, or not under the tester’s control, it can hinder the effectiveness of API testing. Testers may encounter difficulties in setting up proper test conditions or accurately simulating the behavior of the dependencies. This can lead to incomplete test coverage and potential issues that only manifest in production due to untested integration points.

TOP 10 API testing Related Technologies

  • Python

    Python is a widely used programming language that is known for its simplicity and readability. It offers a variety of libraries and frameworks that make API testing efficient and straightforward.

  • Java

    Java is a versatile programming language that is popular for building enterprise-level applications. It has robust testing frameworks like JUnit and TestNG, which are commonly used for API testing.

  • Postman

    Postman is a powerful API testing tool that provides an intuitive interface for designing, testing, and documenting APIs. It supports various request types, authentication methods, and test automation.

  • Swagger

    Swagger is an open-source framework that simplifies API development and testing. It allows developers to define API specifications using a YAML or JSON format and generates interactive documentation.

  • REST Assured

    REST Assured is a Java-based library specifically designed for API testing. It provides a simple and expressive syntax for writing tests, supports JSON and XML parsing, and integrates well with popular testing frameworks.

  • JUnit

    JUnit is a widely used testing framework in the Java ecosystem. It offers a comprehensive set of assertions and annotations for writing unit tests, including API testing. It integrates seamlessly with build tools like Maven and Gradle.

  • JavaScript

    JavaScript is a versatile programming language that is commonly used for web development. It has frameworks like Mocha and Chai that enable API testing in both browser and server environments.

What are top API testing instruments and tools?

  • Postman: Postman is a widely used API testing tool that offers a comprehensive set of features for testing and documenting APIs. It was first released in 2012 and has gained popularity for its user-friendly interface and extensive functionality. Postman allows users to send HTTP requests, view responses, and perform automated testing using pre-defined scripts. It also provides collaboration features for teams working on API projects. Postman is trusted by millions of developers worldwide and is widely used in the software industry.
  • SoapUI: SoapUI is an open-source API testing tool that has been around since 2005. It is specifically designed for testing SOAP and REST APIs. SoapUI offers a user-friendly interface for creating and executing API tests. It provides features like data-driven testing, assertions, and security testing. SoapUI also allows users to simulate complex API scenarios and perform load testing. It has a large community of users and is widely used in the industry for API testing.
  • Swagger: Swagger, now known as the OpenAPI Specification, is a specification for defining APIs. It provides a standard way to describe RESTful APIs using JSON or YAML. Swagger also offers a range of tools for API development and testing. Swagger UI, for example, generates interactive API documentation from an OpenAPI specification. Swagger Codegen allows users to generate client libraries and server stubs based on an OpenAPI specification. Swagger has gained popularity for its ability to streamline the API development and testing process.
  • Apigee: Apigee is an API management platform that includes features for testing and monitoring APIs. It was founded in 2004 and acquired by Google in 2016. Apigee offers a range of tools for API testing, including the ability to simulate API calls, monitor performance, and analyze API usage. It also provides security features like access control and authentication. Apigee is widely used by enterprises for managing and testing their APIs.
  • JUnit: JUnit is a popular testing framework for Java applications. While not specifically designed for API testing, JUnit can be used effectively for testing APIs. It provides a set of annotations and assertions that simplify the process of writing and executing API tests in Java. JUnit is widely used in the Java community for unit testing and integration testing, including API testing.
  • RestAssured: RestAssured is a Java-based library for testing RESTful APIs. It provides a fluent API for writing API tests in a readable and concise manner. RestAssured supports various authentication schemes, request specifications, and response validations. It integrates well with popular testing frameworks like JUnit and TestNG. RestAssured is widely used by Java developers for API testing.
  • Karate: Karate is an open-source API testing framework that combines API testing, automation, and performance testing in a single tool. It uses a simple and expressive syntax for writing API tests. Karate supports both REST and SOAP APIs and provides features like data-driven testing, assertions, and parallel execution. It also integrates with popular testing frameworks like JUnit and Cucumber. Karate is gaining popularity for its simplicity and comprehensive set of features.
  • WireMock: WireMock is a flexible API mocking and testing tool. It allows users to create and configure mock HTTP services quickly. WireMock can be used to simulate API responses and test API interactions in isolation. It supports various request matching options, response customization, and verification of requests. WireMock is widely used for API testing in scenarios where real API endpoints are not available or desirable.
  • Tricentis Tosca: Tricentis Tosca is a comprehensive test automation tool that includes API testing capabilities. It provides a visual interface for creating and executing API tests without the need for coding. Tricentis Tosca supports both SOAP and REST APIs and offers features like data-driven testing, assertions, and test case management. It also integrates with other testing tools and frameworks to support end-to-end test automation. Tricentis Tosca is used by enterprises for API testing and other testing activities.
  • Katalon Studio: Katalon Studio is a popular test automation tool that includes API testing features. It offers a user-friendly interface for creating and executing API tests without the need for coding. Katalon Studio supports both SOAP and REST APIs and provides features like data-driven testing, assertions, and test case management. It also integrates with other testing tools and frameworks to support end-to-end test automation. Katalon Studio is widely used by testers and QA professionals for API testing.
  • LoadUI: LoadUI is a load testing tool that can be used for API testing as well. It allows users to simulate high loads on APIs and measure their performance and scalability. LoadUI supports both SOAP and REST APIs and provides features like load distribution, response time monitoring, and reporting. It can be integrated with other tools like SoapUI for comprehensive API testing and performance testing. LoadUI is trusted by organizations to ensure their APIs can handle high traffic and perform well under load.

Soft skills of a API testing Developer

Soft skills of an API testing Developer are essential for effectively collaborating with teams, communicating findings, and ensuring successful project outcomes.

Junior

  • Attention to detail: Ability to meticulously analyze API documentation and identify potential issues.
  • Problem-solving: Capability to troubleshoot and debug API issues independently.
  • Effective communication: Proficiency in conveying testing results and collaborating with developers and stakeholders.
  • Time management: Skill to prioritize tasks and meet deadlines in a fast-paced environment.
  • Adaptability: Flexibility to quickly adjust to changing project requirements and technologies.

Middle

  • Collaboration: Ability to work effectively within a team, share knowledge, and contribute to the collective success.
  • Leadership: Capability to guide and mentor junior team members, providing assistance and support as needed.
  • Critical thinking: Aptitude to analyze complex API scenarios, identify potential risks, and propose innovative solutions.
  • Client management: Skill to understand and address client needs, communicate project progress, and manage expectations.
  • Documentation: Proficiency in creating comprehensive test plans, test cases, and test reports.
  • Continuous learning: Willingness to stay updated with the latest API testing trends, tools, and methodologies.
  • Quality advocate: Commitment to ensuring the highest quality standards in API testing processes.

Senior

  • Strategic thinking: Ability to align API testing strategies with overall project goals and business objectives.
  • Project management: Proficiency in planning, coordinating, and executing API testing activities across multiple projects.
  • Team management: Skill to lead and inspire a team of API testers, fostering collaboration and professional growth.
  • Stakeholder management: Capability to effectively communicate with stakeholders, address concerns, and build strong relationships.
  • Process improvement: Aptitude to identify areas for efficiency enhancement and implement best practices in API testing.
  • Problem-solving: Ability to handle complex API issues, propose innovative solutions, and resolve conflicts.
  • Business acumen: Understanding of how API testing impacts the overall business strategy and customer experience.
  • Industry knowledge: Deep understanding of API testing trends, emerging technologies, and industry standards.

Expert/Team Lead

  • Strategic leadership: Ability to define and drive the API testing vision, strategy, and roadmap for the entire team.
  • Mentorship: Skill to guide and mentor API testers, providing valuable insights and fostering their professional development.
  • Influence and negotiation: Capability to influence stakeholders, negotiate project requirements, and advocate for API testing best practices.
  • Risk management: Aptitude to proactively identify and mitigate risks associated with API testing projects.
  • Thought leadership: Proficiency in sharing knowledge through industry publications, conference presentations, and webinars.
  • Budget management: Ability to manage the budget for API testing activities, optimizing resource allocation and cost-effectiveness.
  • Vendor management: Skill to evaluate and select third-party tools or services to enhance API testing capabilities.
  • Strategic partnerships: Capability to build strategic partnerships with other teams or organizations to drive collaboration and innovation.
  • Executive communication: Proficiency in communicating API testing insights and recommendations to executive-level stakeholders.
  • Continuous improvement: Commitment to driving continuous improvement initiatives to enhance API testing processes and outcomes.
  • Quality assurance advocate: Passion for advocating for quality assurance principles and driving quality-focused initiatives across the organization.

Pros & cons of API testing

6 Pros of API testing

  • Improved software quality: API testing helps ensure that the software functions as expected and meets the requirements, resulting in improved overall software quality.
  • Early bug detection: By testing the API early in the development process, bugs and issues can be identified and fixed before they propagate to other parts of the system, saving time and effort.
  • Automation capabilities: API testing can be easily automated, allowing for faster and more efficient testing processes. Automation also enables regression testing, ensuring that changes made to the API do not break existing functionality.
  • Increased test coverage: APIs provide access to various functionalities of an application. By testing the API, you can cover a wide range of scenarios and ensure that all critical paths are tested.
  • Integration testing: APIs are designed to connect different components and systems. API testing allows you to test the integration between these components, ensuring that they work seamlessly together.
  • Performance testing: API testing can help identify performance bottlenecks by measuring response times, throughput, and resource usage. This allows you to optimize the API and ensure it can handle the expected load.

6 Cons of API testing

  • Complexity: API testing can be more complex than other types of testing, as it requires knowledge of the API endpoints, request formats, authentication methods, and response validation.
  • Dependency on documentation: Accurate and up-to-date documentation is essential for API testing. If the documentation is incomplete or outdated, it can lead to misunderstandings and ineffective testing.
  • Limited user interface testing: API testing focuses on the backend functionality and may not cover the user interface aspects of the application. Additional testing methods may be required to ensure a seamless user experience.
  • Dependency on API availability: API testing relies on the availability of the API being tested. If the API is not accessible or unstable, it can impact the testing process and delay the identification of issues.
  • Data setup and cleanup: API testing often requires specific test data to be set up before running tests. This can be time-consuming, especially when dealing with complex test scenarios that require extensive data preparation and cleanup.
  • Security considerations: APIs can be vulnerable to security threats, such as unauthorized access or data breaches. API testing should include security testing to identify and address any potential vulnerabilities.

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