How to Boost Your Test Engineer Career in 2020: Trends, Skills, and Learning Paths
This guide outlines the key 2020 trends, essential automation and programming skills, recommended learning resources, and practical steps for test engineers to advance their careers, stay current with emerging technologies, and build a strong professional presence.
Follow Technology Trends
Track industry developments, especially those related to your testing domain, by monitoring social media, technical blogs, and community groups to discover valuable information sources.
Selenium 4.0 Alpha release notes
Selenium 4.0 Alpha practical guide
JUnit 5 and Selenium basics (Part 1‑3)
Automation Testing
Automation testing demand is growing faster than manual testing, especially with AI and ML integration. Test development, a senior role combining development and testing expertise, is in high demand; starting with automation is a solid entry point for 2020.
7 skills to become an automation tester
Balancing automation and manual testing
Automation testing lifecycle
Benefits of automation
Choosing the right automation tool
Delivering value from test automation
Learn Programming Languages
Mastering 1‑2 languages is essential, but learning additional languages (Java, Groovy, JavaScript, C#, Ruby, Python, etc.) broadens your adaptability and sets higher standards within your team.
How to learn Java basics
JVM heap analysis for deep/shallow copy verification
Java interface properties and instance methods
Gradle + Groovy basics
Groovy operator overloading
Python filter method for prime numbers (with heart‑shape code example)
Python recursive method for twin primes
JSON fundamentals
Record Your Learning
Maintain a technical blog to document experiments, lessons, and experiences. Blogging improves software skills, expands your network, and creates a reusable knowledge base for solving technical challenges.
Use free blogging platforms or a public account to make writing a regular habit.
Explore Test Automation Frameworks
Selenium remains the most popular open‑source automation framework, supporting multiple languages (C#, Python, Ruby, Java) and browsers. Other language‑specific frameworks include:
Selenium 4 Java best testing frameworks
Linear interface testing framework in Java
Spock unit testing with Maven/Gradle
Spock data‑driven demo
Jacoco code coverage for API testing
Python Plotly tutorial for local file generation
Android UIAutomator heart‑shape drawing example
Learn CI/CD Nuances
Continuous Integration and Delivery involve frequent code changes pushed to branches; tools such as Jenkins, JIRA, and GitLab are common. Understanding these tools enhances your testing role in release management.
Introducing automated testing into DevOps
Implementing continuous testing in DevOps
How to implement DevOps
DevOps toolset overview
Focus More on Performance
Performance testing, whether client‑side or server‑side, expands your testing scope. Popular server‑side tools include Locust, Multi‑Mechanize, Apache Bench, Httperf, JMeter, while Google PageSpeed Insights and Selenium can measure client performance.
Unified functional, automation, and performance test cases for API testing
Performance testing methodology for a specific method
Single Sign‑On performance testing solution
Multithreaded CPU and PSS data collection for app performance
JVM command mind map
Continue Exploratory Testing
Occasionally venture into unknown areas, revisit old features, and enhance test cases to keep your testing practice fresh and valuable.
Why exploratory testing matters
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