Jobgether
QA Engineer [gn] (Automation & Resilience)

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QA Engineer (Automation & Resilience)
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a QA Engineer [gn] (Automation & Resilience) based in United Kingdom.
This is an exciting opportunity for a technically driven QA professional to take ownership of automation and resilience testing within a complex, data-intensive software environment.
You will play a key role in ensuring platform reliability, scalability, and deployment confidence by building intelligent, robust testing solutions.
The role goes beyond traditional quality assurance, focusing on engineering practices that prevent issues before they impact customers.
You will collaborate closely with developers and product teams to embed quality throughout the software development lifecycle.
By designing advanced automation frameworks and resilience strategies, you will directly influence product stability and customer experience.
This position is ideal for an engineer who enjoys solving complex challenges, improving systems, and pushing the boundaries of software quality.
Accountabilities
The QA Engineer will be responsible for designing, implementing, and continuously improving automated testing strategies that protect platform reliability and accelerate software delivery.
- Design, develop, and maintain comprehensive End-to-End (E2E) automated test suites that simulate real-world enterprise workflows.
- Build resilience and stability testing solutions to evaluate system behavior under stress, failures, and high-load conditions.
- Integrate automated testing frameworks into CI/CD pipelines to provide fast and reliable feedback on code changes.
- Develop API and integration tests to validate data integrity and ensure accuracy across distributed systems.
- Collaborate with engineering teams to investigate production issues, reproduce defects, and implement automated regression coverage.
- Identify, analyze, and eliminate flaky tests to maintain trust and reliability in automation results.
- Partner with developers and product stakeholders early in the development process to define effective testing strategies.
- Leverage AI-powered tools and modern development assistants to improve test creation, debugging, and test data generation.
- Write clean, maintainable, and reusable test code while participating in peer reviews and improving test architecture.
- Track QA metrics, including execution times, coverage, and pass rates, to continuously optimize testing processes.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
The ideal candidate is a hands-on automation specialist with strong engineering skills, a quality-first mindset, and experience testing complex software platforms.
- Proven experience as an Automation QA Engineer, Software Development Engineer in Test (SDET), or similar role within cloud-native SaaS or distributed software environments.
- Strong experience with modern automation frameworks such as Playwright, Cypress, or Selenium.
- Proficiency in programming languages including Java, Python, or Go.
- Solid knowledge of API testing, SQL, and data validation techniques.
- Strong understanding of software quality principles and a passion for identifying hidden issues before they reach production.
- Experience working with cloud platforms such as AWS, Azure, or GCP.
- Familiarity with container technologies such as Docker and Kubernetes, as well as version control systems like GitHub.
- Ability to design scalable automation solutions and contribute to testing architecture decisions.
- Proactive mindset with the ability to challenge assumptions, anticipate risks, and advocate for quality throughout development cycles.
- Excellent written and spoken English skills, with the ability to communicate complex technical topics clearly.
Benefits
- Opportunity to contribute to innovative technology solutions within a fast-growing software environment.
- Competitive salary and comprehensive benefits package.
- Flexible working arrangements, including remote or hybrid options.
- Collaboration with an international and highly skilled engineering team.
- Opportunities for professional development, learning, and career progression.
- Dynamic workplace culture focused on innovation, collaboration, and continuous improvement.
- Ability to make a direct impact on software reliability and customer success.


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How Jobgether Works
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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