This article is based on a Forbes.com commentary originally published in 2019. The observations reflect industry trends at that time, though the underlying dynamics remain relevant today.
The Changing Landscape for QA in a DevOps World
As the boundaries between developers, DevOps practitioners, and software testers continue to blur, one of the most pressing conversations in the industry concerns the future of the QA engineer. With Agile becoming the dominant delivery model, testers are expected to play a far more active and assertive role than their counterparts did in traditional waterfall environments.
The cross-functional nature of DevOps is pushing engineers, testers, and operations specialists into each other’s domains. Testing is no longer the exclusive territory of QA teams. Developers write unit and integration tests; operations teams run smoke tests in production; and CI/CD pipelines execute automated test suites on every commit. The 2018–19 World Quality Report noted near-universal adoption of DevOps practices among surveyed organisations, underlining how mainstream this shift has become.
Rather than making QA roles obsolete, this evolution expands their scope. The Agile and DevOps frameworks are pushing testers toward owning the design of automated testing infrastructure and tracking quality across the entire systems development lifecycle (SDLC). For QA professionals willing to adapt, this shift brings greater career diversity and long-term growth opportunities.
Key Areas Where QA Engineers Must Evolve
1. Mastering Time Management in a Fast-Moving Pipeline
In a DevOps environment driven by continuous delivery, testers cannot afford to be the bottleneck. Speed and responsiveness are essential. Practically, this means:
- Act immediately on failing test suites. When automated tests begin producing unexpected results, delayed investigation compromises the integrity of the entire test suite and can mask real defects.
- Run exploratory tests in parallel with automation. While automated suites execute, skilled testers use the time for exploratory testing — exercising new features manually to uncover edge cases that scripted tests might miss.
- Anticipate scenarios before they become bugs. Structured brainstorming about possible failure modes, user paths, and edge conditions reduces downstream risk and shortens remediation cycles.
- Analyse failures rigorously. After automated runs complete, testers must identify the root cause behind each failure. Without accurate triage, legitimate defects can be masked by noise or incorrectly dismissed.
For entirely new features, it is often faster to test manually first and then write automation scripts once the feature stabilises — rather than investing in fragile scripts against a moving target.
2. Knowing What to Automate — and What Not To
One of the highest-value skills a modern QA engineer can develop is sound judgement about automation scope. Over-automating is a common and costly mistake:
- Every automated test carries an ongoing maintenance cost. As the codebase changes, tests break and must be updated — often by the QA team.
- Automating 100% of test coverage is neither practical nor economical. The goal should be to automate the highest-value, most repetitive, and most regression-prone paths.
- A sensible starting point is a single end-to-end test running through the CI pipeline. Additional scripts should be introduced incrementally, with deliberate prioritisation.
- Manual exploratory testing and session-based testing remain indispensable for complex user journeys, UX evaluation, and novel functionality.
Treating automation as a tool rather than a goal in itself leads to leaner, more maintainable test suites and better overall coverage.
3. Building Adaptability and Creative Problem-Solving
DevOps culture moves fast. Requirements evolve mid-sprint; specifications are sometimes incomplete; priorities shift based on production incidents. QA engineers in this environment must be comfortable with ambiguity and capable of making informed testing decisions without perfect information.
This demands more than technical proficiency. QA professionals need:
- Critical thinking to assess risk when test coverage gaps exist.
- Communication skills to surface quality concerns early and influence design decisions before code is written.
- Context-switching ability to move between different features, systems, and teams without losing focus on quality outcomes.
- Collaborative instincts to work alongside developers and operations engineers rather than operating as a separate downstream function.
The Shared Responsibility Model for Quality
In mature DevOps organisations, quality is no longer the sole responsibility of the QA team. A healthy model distributes ownership across the delivery pipeline:
- Developers write unit tests, participate in code review, and contribute automated integration test scripts.
- QA engineers own the automated testing framework, design test strategy, execute exploratory testing, and ensure traceability across the SDLC.
- Operations teams monitor production health, run smoke tests after deployments, and feed observability data back into quality discussions.
In this model, QA engineers become quality advocates rather than quality gatekeepers. Their influence spans the entire lifecycle — from requirements and design through deployment and monitoring — rather than being concentrated in a post-development testing phase.
What This Means for QA Career Development
The expanding scope of the QA role in DevOps creates genuine career growth opportunities for testers who invest in the right skills:
- Test automation engineering — building and maintaining CI/CD-integrated test frameworks using tools such as Selenium, Playwright, Cypress, or REST-assured.
- Performance and reliability testing — designing load tests and chaos experiments that validate system behaviour under stress.
- Quality engineering leadership — defining quality standards, setting testing strategy, and working with product and engineering leadership on risk management.
- DevOps toolchain expertise — integrating testing into pipelines using Jenkins, GitHub Actions, GitLab CI, or similar platforms.
- Observability and monitoring — using production telemetry to inform test coverage decisions and identify quality gaps before they affect users.
Conclusion: Adaptability Is the Core QA Skill
Automated tests are only as good as the people who design and maintain them. In a DevOps environment where developers, testers, and operations engineers share responsibility for quality, QA professionals who can move beyond purely manual testing activities — and contribute to automation strategy, test infrastructure, and cross-functional quality culture — will find themselves with an expanding rather than diminishing role.
Technical skills matter, but so do insight, communication, and the adaptability to thrive amid continuous change. QA engineers who cultivate both dimensions will be well-positioned as DevOps continues to redefine how software is built and delivered.