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Mike M., Expert Golang Engineer

Dhaka, Bangladesh
Last Updated: 4 Jul 2023

- A software developer with 7+ years of experience; - 5 years of Golang experience, building applications, tools, and services/micro-services; - Experienced in developing web and network applications using PHP and Golang; - Proficient in containerizing services with Docker and Linux servers; - 8 years of Linux expertise; - Follower of good engineering practices such as test-driven design, pair programming, continuous integration, and refactoring. Committed to good coding principles such as SOLID, DRY, TDD etc. -Upper- Intermediate English - Available ASAP

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Nickson M., Senior Python/Golang Engineer

Kampala, Uganda
Last Updated: 4 Jul 2023
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- 6 years of experience in IT - 5 years of experience with Golang - 6 years of experience with Python - Fluent English - Available ASAP

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Vlad D, Full-Stack Python Software Engineer

Kyiv, Ukraine
Last Updated: 4 Jul 2023
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- Full-Stack (Python + Vue.js) Software Engineer with a background in digital marketing; - Core Python, Flask & Django Frameworks, reusable code - RESTful APIs - MVC, SOLID, DRY principles; - SQL, Django ORM, Elastic Search Platform - Upper-intermediate English; - Available ASAP

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Evgeniy K., Java Developer

Last Updated: 6 Oct 2023

- 4+ years of experience in Java development - Strong knowledge in programming Spring Framework, Hibernate, and Java Core - Experience in using Design patterns - Good logical thinking and self-learning abilities - High level of responsibility and commitment - Knowledge of SCRUM and TDD development methodologies - Upper-intermediate level of spoken and written English - Master's degree in Mechanical Engineering - Experience in various projects, including Saas platforms, online systems, and business automation solutions - Strong understanding of software development principles, paradigms, and patterns - Proficient in SDLC and software development practices - Expertise in back-end development, bug fixing, and new feature development - Strong problem-solving and analytical skills - Excellent communication and teamwork abilities

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Viacheslav O., Solution Architect

Last Updated: 31 Oct 2023

- More than 8 years of professional experience in backend development. - Proficiency at application architecture principles (including SOLID / DDD / DRY / KISS). - Understanding and efficient usage of design patterns. - Extensive experience in designing and implementing Cloud-based solutions across various delivery methods (SaaS, PaaS, IaaS), enhancing scalability, flexibility, and cost-efficiency. - Project/ tasks estimation (concept-based, milestone, roadmap, detailed). Agile / Scrum / Kanban (both team management & development). - Test-driven development (real unit- & acceptance- tests usage everyday). - High load optimization (both game backend and enterprise system solutions).

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Table of Contents

What are top Test-driven development (TDD) instruments and tools?

  • Cucumber: Cucumber is a popular tool used for behavior-driven development (BDD) and acceptance testing. It allows developers to write tests in a natural language format, known as Gherkin, which promotes collaboration between technical and non-technical team members. Cucumber was first released in 2008 and has since gained widespread adoption in the industry.
  • JUnit: JUnit is a widely-used testing framework for Java applications. It provides a simple and elegant way to write and execute test cases, allowing developers to ensure the quality of their code. JUnit was first released in 1997 and has become a standard in the Java ecosystem.
  • PyTest: PyTest is a testing framework for Python applications. It offers a concise syntax and powerful features, such as fixtures, parameterization, and test discovery. PyTest was first released in 2004 and has gained popularity among Python developers due to its simplicity and flexibility.
  • Selenium: Selenium is a widely-used open-source framework for automating web browsers. It provides a suite of tools and libraries that enable developers to write tests in various programming languages, including Java, Python, and C#. Selenium was first released in 2004 and has become the de facto standard for web application testing.
  • RSpec: RSpec is a testing framework for Ruby applications. It follows a behavior-driven development (BDD) approach and provides a domain-specific language (DSL) for writing expressive and readable tests. RSpec was first released in 2005 and has gained popularity among Ruby developers for its focus on readability and maintainability.
  • PHPUnit: PHPUnit is a unit testing framework for PHP applications. It offers a comprehensive set of assertion methods and features, such as test doubles and data providers, to facilitate the testing process. PHPUnit was first released in 2001 and has become a go-to tool for PHP developers to ensure the correctness of their code.
  • Jest: Jest is a testing framework for JavaScript applications, particularly those built with React. It provides an intuitive API for writing tests and comes with powerful features, such as snapshot testing and code coverage analysis. Jest was first released in 2014 and has gained popularity in the JavaScript community for its simplicity and speed.
  • Postman: Postman is a popular tool for testing and documenting APIs. It allows developers to send HTTP requests, automate testing workflows, and generate detailed reports. Postman was first released in 2012 and has become a go-to tool for API testing and collaboration.
  • GTest: GTest, also known as Google Test, is a unit testing framework for C++ applications. It provides a rich set of assertion macros and utilities to write robust and maintainable tests. GTest was first released in 2008 by Google and has gained widespread adoption in the C++ community.
  • TestNG: TestNG is a testing framework for Java applications. It offers a more flexible and powerful alternative to JUnit, with features such as test dependencies, data-driven testing, and parallel execution. TestNG was first released in 2004 and is widely used in enterprise Java projects.
  • Mocha: Mocha is a feature-rich testing framework for Node.js applications. It supports both asynchronous and synchronous testing styles, and provides a wide range of features, such as test hooks, test coverage, and customizable reporting. Mocha was first released in 2011 and has become a popular choice for testing Node.js applications.

Pros & cons of Test-driven development (TDD)

9 Pros of Test-driven development (TDD)

  • Increased Code Quality: TDD promotes writing test cases before writing the actual code, ensuring that the code meets the desired requirements and functions correctly.
  • Better Software Design: TDD encourages developers to think about the design of their code before implementation, leading to cleaner and more modular code.
  • Improved Collaboration: TDD facilitates collaboration between developers and testers by providing a common language and understanding of the expected behavior of the code.
  • Early Bug Detection: By writing test cases upfront, TDD helps in catching bugs early in the development process, making them easier and cheaper to fix.
  • Regression Testing: TDD ensures that previously implemented features and functionalities continue to work as expected when new code is added or modified.
  • Reduced Debugging Time: With TDD, the majority of bugs are caught during the development phase, reducing the time spent on debugging and troubleshooting later on.
  • Faster Development: TDD promotes a more focused and systematic approach to development, resulting in faster turnaround times for delivering working software.
  • Increased Confidence: TDD provides developers with confidence in their code, as it is backed by automated tests that verify its correctness.
  • Documentation: Test cases act as executable documentation, providing insights into the expected behavior and usage of the code.

9 Cons of Test-driven development (TDD)

  • Learning Curve: TDD requires developers to adopt a different mindset and approach to development, which can initially be challenging and time-consuming to learn.
  • Upfront Time Investment: Writing test cases before writing the actual code can increase the overall development time initially.
  • Complexity: Maintaining a comprehensive suite of tests can become complex and time-consuming, especially as the codebase grows larger and more complex.
  • Dependency on Test Frameworks: TDD relies heavily on test frameworks and tools, which may introduce dependencies and require additional learning and setup.
  • Overemphasis on Test Coverage: Developers may be tempted to focus solely on achieving high test coverage, potentially sacrificing other important aspects of software development.
  • Difficulty in Testing Certain Aspects: Some parts of the code, such as user interfaces or external dependencies, may be challenging to test effectively using TDD.
  • Ineffective for Exploratory Development: TDD may not be the most suitable approach for exploratory development or situations where the requirements are unclear or rapidly changing.
  • Resistance to Change: Developers who are accustomed to traditional development approaches may resist adopting TDD, leading to challenges in implementation.
  • False Sense of Security: While TDD helps catch many bugs, it does not guarantee the absence of all errors or flaws in the code.

TOP 10 Tech facts and history of creation and versions about Test-driven development (TDD) Development

  • Test-driven development (TDD) is a software development methodology that emphasizes writing tests before writing the code. It was first introduced by Kent Beck in the late 1990s.
  • TDD follows the Red-Green-Refactor cycle, where developers start by writing a failing test (Red), then write the code to make the test pass (Green), and finally refactor the code to improve its design without changing its behavior.
  • The primary goal of TDD is to ensure that the code is working correctly by writing automated tests that can be run repeatedly to catch any regressions or defects.
  • One of the key benefits of TDD is that it forces developers to think about the design and requirements upfront, leading to cleaner and more maintainable code.
  • TDD is closely associated with the Agile software development methodology and is often used in conjunction with other practices like Continuous Integration and Continuous Delivery.
  • TDD has become widely adopted in the software industry and is supported by various programming languages and frameworks.
  • JUnit, a popular unit testing framework for Java, was one of the first tools to support TDD. It was created by Kent Beck and Erich Gamma in 1997 and has since become the de facto standard for unit testing in Java.
  • In addition to JUnit, there are numerous testing frameworks available for different programming languages, such as PyTest for Python, RSpec for Ruby, and NUnit for .NET.
  • TDD has evolved over the years, and different variations have emerged, including Behavior-Driven Development (BDD) and Acceptance Test-Driven Development (ATDD), which focus on higher-level testing and collaboration between stakeholders.
  • In recent years, the rise of Test Automation and DevOps practices has further emphasized the importance of TDD in enabling organizations to deliver high-quality software at a faster pace.

Soft skills of a Test-driven development (TDD) Developer

Soft skills of a Test-driven development (TDD) Developer involve effective communication, collaboration, problem-solving, and leadership abilities.


  • Active Listening: Ability to attentively listen to others to understand requirements and feedback.
  • Adaptability: Willingness to learn and adapt to new technologies, tools, and processes.
  • Time Management: Efficiently managing time to meet deadlines and prioritize tasks.
  • Attention to Detail: Paying close attention to small details to ensure accuracy in testing and development.
  • Teamwork: Collaborating effectively with team members to achieve project goals.


  • Problem-solving: Analyzing complex issues and finding effective solutions within the TDD framework.
  • Critical Thinking: Evaluating situations and making logical decisions based on sound reasoning.
  • Communication: Clearly conveying ideas, concerns, and feedback to team members and stakeholders.
  • Mentoring: Guiding and providing support to junior developers in understanding and implementing TDD practices.
  • Conflict Resolution: Resolving conflicts within the team and promoting a positive work environment.
  • Time Estimation: Accurately estimating the time required for testing and development tasks.
  • Continuous Learning: Actively seeking opportunities to enhance knowledge and skills in TDD.


  • Leadership: Taking charge of the TDD process, guiding the team, and making strategic decisions.
  • Empathy: Understanding the needs and perspectives of team members and stakeholders.
  • Collaboration: Facilitating effective collaboration between developers, testers, and other stakeholders.
  • Project Management: Overseeing the planning, execution, and delivery of TDD projects.
  • Quality Assurance: Ensuring high-quality code and adherence to TDD principles throughout the development process.
  • Client Management: Building and maintaining strong relationships with clients to understand their requirements and expectations.
  • Innovation: Exploring new tools, techniques, and methodologies to improve TDD practices.
  • Technical Leadership: Providing technical guidance and mentorship to the development team.

Expert/Team Lead

  • Strategic Thinking: Developing long-term TDD strategies and aligning them with organizational goals.
  • Change Management: Effectively managing and implementing changes in TDD processes and practices.
  • Risk Assessment: Identifying potential risks and implementing measures to mitigate them.
  • Stakeholder Management: Engaging and managing relationships with various stakeholders, including executives and clients.
  • Decision-making: Making informed decisions based on extensive knowledge and experience in TDD.
  • Team Building: Building and nurturing high-performing TDD teams through mentorship and motivation.
  • Continuous Improvement: Driving continuous improvement in TDD practices and processes.
  • Technical Expertise: Demonstrating exceptional knowledge and expertise in TDD methodologies and related technologies.
  • Business Acumen: Understanding the business context and aligning TDD practices with organizational objectives.
  • Conflict Management: Effectively resolving conflicts and fostering a positive work environment.
  • Communication: Communicating complex TDD concepts and strategies to both technical and non-technical stakeholders.

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 software applications. Participating in code reviews and learning best practices. Developing basic software components under supervision.$50,000 – $70,000
Middle2-5 yearsDesigning and implementing software solutions independently. Collaborating with cross-functional teams to gather requirements and deliver high-quality code. Participating in code refactoring and optimization. Mentoring junior developers.$70,000 – $90,000
Senior5-8 yearsLeading software development projects and making architectural decisions. Mentoring and guiding junior and middle developers. Conducting code reviews and ensuring code quality. Collaborating with stakeholders to define project requirements and timelines.$90,000 – $120,000
Expert/Team Lead8+ yearsProviding technical leadership and guidance to the development team. Leading the design and implementation of complex software systems. Mentoring and coaching team members. Collaborating with product managers and stakeholders to define project scope and roadmap.$120,000 – $150,000+

TOP 10 Test-driven development (TDD) Related Technologies

  • Python

    Python is a widely used programming language that promotes test-driven development. Its simplicity and readability make it a popular choice among developers. Python’s extensive libraries and frameworks, such as pytest and unittest, provide robust testing capabilities. With its strong community support and rich ecosystem, Python offers excellent tools for implementing TDD practices.

  • Java

    Java is a versatile language that supports test-driven development. Its object-oriented nature and platform independence make it suitable for building large-scale applications. Java’s testing frameworks, like JUnit and TestNG, enable developers to write comprehensive and reliable test suites. The Java ecosystem also offers various tools and libraries to facilitate TDD, making it a preferred choice for many software development teams.

  • JavaScript

    JavaScript, the language of the web, has become increasingly popular for test-driven development. Its flexibility and compatibility with different browsers make it an ideal choice for front-end development. JavaScript frameworks like Jasmine and Mocha provide robust testing capabilities, allowing developers to write effective unit tests. With the rise of Node.js, JavaScript is also used for server-side development, making it a versatile language for TDD.

  • Ruby

    Ruby is a dynamic, expressive language known for its focus on developer productivity. It has a strong emphasis on test-driven development, with frameworks like RSpec and MiniTest providing intuitive and powerful testing features. Ruby’s elegant syntax and extensive community support make it a popular choice for developers who prioritize clean and readable code. Its built-in testing capabilities and convention-over-configuration approach make TDD seamless in Ruby projects.

  • Go

    Go, a statically typed language developed by Google, has gained popularity for its simplicity and performance. It has a built-in testing package called “testing” that provides a straightforward way to write tests. Go’s focus on simplicity and efficiency makes it a suitable choice for test-driven development projects. Its strong concurrency support and compiled nature make it well-suited for building scalable and high-performance applications.

  • C#

    C# is a versatile and powerful language primarily used for Windows application development. It has a robust testing framework called NUnit, which allows developers to write unit tests with ease. C# integrates seamlessly with Visual Studio, providing a comprehensive development environment with built-in testing tools. With its extensive libraries and frameworks, C# offers a solid foundation for implementing test-driven development practices.

  • PHP

    Despite its reputation for lacking in software engineering best practices, PHP has made significant strides in embracing test-driven development. Frameworks like PHPUnit and Behat provide testing capabilities for PHP projects. PHP’s widespread usage in web development and its powerful frameworks like Laravel and Symfony make it a viable option for TDD. The PHP community has recognized the importance of testing, leading to the availability of various testing tools and resources.

TOP 10 Facts about Test-driven development (TDD)

  • Test-driven development (TDD) is a software development approach where tests are written first before writing the actual code.
  • TDD follows a cycle known as the Red-Green-Refactor cycle. It starts with writing a failing test (red), then implementing the code to make the test pass (green), and finally refactoring the code to improve its design and maintainability.
  • TDD helps improve code quality by enforcing good coding practices, such as modular design, loose coupling, and high cohesion.
  • TDD reduces the number of bugs in software by catching them early in the development process. This leads to increased reliability and stability of the software.
  • TDD promotes shorter development cycles and faster feedback loops. Developers can quickly identify and fix issues, leading to faster delivery of software.
  • By writing tests first, TDD forces developers to think about the desired behavior of the code and its edge cases before implementation. This helps in better understanding the requirements and leads to more accurate code implementation.
  • TDD encourages developers to write more maintainable code. Since tests act as living documentation, they provide a safety net when making changes or refactoring existing code.
  • TDD facilitates collaboration between developers and testers. Since tests are written upfront, testers can start creating test cases based on the requirements defined in the tests.
  • TDD is language-agnostic and can be applied to various programming languages and frameworks.
  • Studies have shown that TDD can lead to a significant reduction in defects and maintenance costs, while also improving code readability and developer productivity.

Cases when Test-driven development (TDD) does not work

  1. Complex or exploratory tasks: Test-driven development (TDD) may not be suitable for tasks that are highly complex or require a great deal of exploration and experimentation. TDD relies on writing tests before writing code, which may not be practical or efficient in such cases. Complex tasks often require a deeper understanding of the problem domain and may involve multiple iterations of code development and testing.
  2. Tight deadlines: In situations where there are tight deadlines or time constraints, following the TDD approach may not be feasible. TDD emphasizes writing tests first and then writing code to pass those tests. This process can take additional time, which may not be available when time is of the essence. In such cases, developers might opt for other development methodologies that prioritize quick delivery.
  3. Legacy codebases: TDD may face challenges when working with legacy codebases. Legacy code often lacks proper test coverage, making it difficult to follow the TDD process of writing tests first. Additionally, the architecture and design choices in legacy codebases might not align well with the incremental and iterative nature of TDD. In these situations, it may be more effective to focus on adding tests to critical areas of the codebase and gradually introducing TDD principles.
  4. Emergent requirements: TDD relies on having a clear understanding of the requirements upfront and writing tests based on those requirements. However, in projects with rapidly changing or emergent requirements, it can be challenging to define detailed requirements in advance. TDD may not be the most suitable approach in such cases as the tests written initially may become obsolete or require frequent modification, leading to additional effort and potential code instability.
  5. Exploratory development: TDD is best suited for scenarios where the requirements and desired outcomes are well-defined. However, in exploratory development, where the goal is to experiment, learn, and discover new possibilities, the rigid structure of TDD may hinder the creative process. Exploratory development often involves quick iterations, prototyping, and adapting to evolving ideas, which may not align with the systematic and incremental nature of TDD.

How and where is Test-driven development (TDD) used?

Case NameCase Description
1. Bug PreventionBy writing tests before implementing the code, TDD helps identify and prevent bugs early in the development cycle. This approach allows developers to catch and fix issues at the unit level, reducing the likelihood of bugs slipping into production.
2. Code RefactoringTDD promotes code refactoring by providing a safety net of tests. When refactoring code, developers can make changes with confidence, knowing that if they accidentally introduce a bug, the tests will catch it. This allows for iterative improvements in the codebase while ensuring that existing functionality remains intact.
3. Collaboration and CommunicationTDD encourages collaboration and communication among team members. By writing tests upfront, developers can clearly define the expected behavior of the code. This helps in aligning the understanding of requirements between developers, testers, and stakeholders, fostering effective communication and reducing misunderstandings.
4. Continuous IntegrationTDD plays a vital role in continuous integration practices. With TDD, developers can automate the execution of tests as part of the continuous integration pipeline. This ensures that new code changes do not break existing functionality and helps maintain a stable and reliable codebase.
5. Faster DebuggingTDD speeds up the debugging process by providing a clear indicator of what might be causing a failure. When a test fails, developers can easily trace back to the specific code that caused the failure, making it easier to identify and fix the problem.
6. Reduced Time and CostTDD contributes to reduced development time and cost in the long run. By catching bugs early, TDD minimizes the need for extensive debugging and rework. Additionally, the clarity provided by well-defined tests allows developers to write code more efficiently and accurately.
7. Regression TestingTDD ensures that previously implemented functionality continues to work as expected. By running the existing tests during development, TDD acts as a form of regression testing, preventing new code changes from inadvertently breaking previously working features.
8. Requirements VerificationWith TDD, tests are written based on requirements and specifications. By running these tests, developers can verify that their code meets the desired functionality outlined in the requirements. This helps in ensuring that the developed software aligns with the intended purpose.
9. Improved Code QualityTDD promotes the development of high-quality code. By writing tests first, developers are forced to think about the design and structure of their code upfront. This leads to cleaner, more modular code that is easier to understand, maintain, and extend.

Hard skills of a Test-driven development (TDD) Developer

Hard skills of a Test-driven development (TDD) Developer:


  • Programming: Proficiency in at least one programming language, such as Java, C#, or Python, with knowledge of fundamental concepts and syntax.
  • Test Automation: Ability to write basic automated tests using testing frameworks like JUnit or NUnit, and understand the principles of test-driven development.
  • Version Control: Familiarity with version control systems like Git to manage code changes and collaborate with other developers.
  • Debugging: Basic debugging skills to identify and fix issues in code, including the ability to use debugging tools and techniques.
  • Agile Methodology: Understanding of agile principles and practices, including participating in daily stand-ups, sprint planning, and retrospective meetings.


  • Advanced Programming: Proficiency in multiple programming languages and frameworks, with the ability to write clean and maintainable code.
  • Test Frameworks: Experience with advanced testing frameworks like Selenium or Cypress for web applications, or Espresso or XCTest for mobile applications.
  • Continuous Integration/Continuous Deployment (CI/CD): Knowledge of CI/CD pipelines and tools like Jenkins or Travis CI to automate the build, test, and deployment processes.
  • Code Review: Ability to conduct code reviews and provide constructive feedback to team members, ensuring code quality and adherence to best practices.
  • Performance Testing: Understanding of performance testing techniques and tools like JMeter or Gatling to identify and optimize performance bottlenecks.
  • Database Testing: Proficiency in writing SQL queries and conducting database testing to ensure data integrity and consistency.
  • Security Testing: Knowledge of security testing concepts and tools like OWASP ZAP or Burp Suite to identify and mitigate security vulnerabilities.


  • Architectural Design: Ability to design and implement testable and scalable software architectures, considering factors like modularity, maintainability, and performance.
  • Test Strategy: Experience in defining comprehensive test strategies and test plans, including test coverage, risk assessment, and prioritization.
  • Test Optimization: Skill in optimizing test suites for efficiency and reducing test execution time, using techniques like parallel test execution and test data management.
  • Test Environment Management: Knowledge of managing test environments, including setting up and configuring test infrastructure and test data management.
  • Performance Tuning: Ability to analyze and optimize application performance through profiling, code refactoring, and performance testing.
  • Code Quality Metrics: Understanding of code quality metrics and tools like SonarQube or Checkstyle to enforce coding standards and identify technical debt.
  • Leadership: Experience in leading and mentoring a team of developers/testers, providing technical guidance, and fostering a culture of quality and collaboration.
  • Communication: Strong communication skills to effectively collaborate with stakeholders, understand requirements, and provide status updates on testing activities.

Expert/Team Lead

  • Test Automation Frameworks: Proficiency in designing and developing scalable and maintainable test automation frameworks, using tools like Selenium WebDriver or Appium.
  • Test Data Management: Expertise in managing test data, including generating realistic test data, creating data-driven tests, and ensuring data privacy and security.
  • DevOps: Knowledge of DevOps practices and tools like Docker, Kubernetes, or Ansible to enable continuous integration, delivery, and deployment.
  • Performance Engineering: Skill in performance engineering, including load testing, stress testing, capacity planning, and performance monitoring and analysis.
  • Test Automation Strategy: Experience in defining an overall test automation strategy, selecting appropriate tools and frameworks, and ensuring maximum test coverage.
  • Quality Assurance Processes: Deep understanding of quality assurance processes and methodologies, including Agile, Scrum, and Lean, and the ability to tailor them to project needs.
  • Domain Expertise: Expertise in a specific domain or industry, allowing for better understanding of business requirements and the ability to design effective test scenarios.
  • Code Refactoring: Mastery in code refactoring techniques to improve code quality, maintainability, and testability, without altering the external behavior of the software.
  • Problem Solving: Strong problem-solving skills to identify root causes of defects, propose solutions, and troubleshoot complex technical issues.
  • Continuous Learning: Commitment to continuous learning and staying up-to-date with the latest trends and technologies in software development and testing.
  • Team Collaboration: Ability to collaborate effectively with cross-functional teams, including developers, product owners, business analysts, and project managers, to ensure successful delivery of quality software.

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Maria Lapko
Global Partnership Manager