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Automated Test Engineer
Location: Dublin (hybrid 2 days office / 3 days home)
Salary: €55-60k per annum, plus bonus
We are working with an innovative technology company that is seeking a skilled and proactive tester to join their team. This role is central to building and maintaining the quality, reliability, and scalability of their portfolio, which includes SaaS cloud applications, mobile platforms, and cutting-edge AI/ML-enabled services.
You'll report to the Test Lead and be a crucial voice in driving continuous quality across the organisation.
The Role
This position offers broad responsibility in test automation across our core product layers—web, mobile, and API—while also challenging you to develop specialized test practices for our machine learning and generative AI systems.
Key responsibilities
- Design, develop, and maintain automated test frameworks for web, mobile, APIs, and ML services.
- Implement and manage CI/CD test pipelines (e.g., GitLab CI, Jenkins) to embed quality throughout the SDLC.
- Develop robust test strategies covering functional, regression, integration, performance, and security aspects.
- Ensure automated test coverage for data-driven and ML-enabled services, including validation of data inputs and outputs.
- Collaborate closely with development, DevOps, and product teams to champion quality-first practices.
- Continuously improve test reliability, execution speed, and reporting visibility.
- Monitor and troubleshoot failed test runs, providing root cause analysis.
About you
- We are looking for a candidate with proven experience and a passion for automation.
- Proven experience as an Automated Tester or QA Engineer in SaaS, mobile, or complex service environments.
- Solid experience testing REST APIs, microservices, and event-driven architectures.
- Familiarity with mobile testing across iOS and Android (native and hybrid).
- Strong knowledge of CI/CD tools and DevOps practices.
- Proficiency in at least one modern programming or scripting language, such as Python, JavaScript/TypeScript, Java, or C#.
- Experience with test reporting and monitoring tools (e.g., Dynatrace, Datadog).
- Strong problem-solving, analytical, and communication skills.
Desirable skills:
- Knowledge of containerization and orchestration (Docker, Kubernetes).
- Experience with performance and load testing (JMeter, k6, Locust).
- Understanding of data pipelines, feature stores, or ML Ops workflows.
- Familiarity with security testing practices and tools.
Key Skills
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