Staff Software Engineer in Test
HybridBudapest, Budapest, Hungary
Budapest, Budapest, HungaryHybridFull TimeSenior LevelSaaSLarge
Full TimeSenior LevelLargeSaaS
Job Summary
Lead testing strategy and execution across complex microservices and frontend/backend architectures using AWS, .NET, and Angular. Design, develop, and maintain robust test automation frameworks integrating seamlessly into CI/CD pipelines with a DevSecOps mindset. Pioneer AI-driven testing solutions by evaluating intelligent test generation, defect prediction, and adaptive strategies using LLMs. Collaborate across teams to ensure quality is built-in from the start, promoting shift-left principles and influencing engineering practices. Mentor engineers in automation, AI-enhanced QA workflows, and testing best practices while leveraging observability tools to identify systemic issues. Stay current with AI trends and regulations to adapt test strategies supporting compliance, security, and innovation.
Required Qualifications
- 5+ years in software engineering in test roles within commercial software environments
- Strong expertise in TypeScript, Playwright, or a similar end-to-end testing tool, with a willingness to develop deep expertise in Playwright
- Proven experience with API and backend testing, including microservices and monolithic systems
- Experience designing automation frameworks and integrating them into CI/CD pipelines (e.g., GitHub Actions)
- Familiarity with AWS serverless services and modern DevOps practices (IaC, Docker, observability tools)
- Exposure to security principles in delivery pipelines (IAM, secrets management, DevSecOps)
- Strong understanding of AI in software engineering, such as: Using LLMs to assist with test generation and defect triage
- Strong understanding of AI in software engineering, such as: Embedding monitoring and validation around AI components
- Strong understanding of AI in software engineering, such as: Designing QA strategies for AI-infused systems (e.g., prompt testing, model input/output verification)
- Exceptional communication skills and experience mentoring or leading others in a quality or test leadership capacity
- Must be available to work onsite at least 50% of the time
Desired Qualifications
- Experience with Playwright
- Experience with AWS CDK
- Experience with Playwright
- Experience with GitHub Actions
- Experience with AWS serverless services
- Experience with modern DevOps practices (IaC, Docker, observability tools)
- Experience with security principles in delivery pipelines (IAM, secrets management, DevSecOps)
- Experience using LLMs to assist with test generation and defect triage
- Experience embedding monitoring and validation around AI components
- Experience designing QA strategies for AI-infused systems (e.g., prompt testing, model input/output verification)
- Experience with AI-driven testing solutions—evaluate and implement intelligent test generation, defect prediction, and adaptive test strategies using LLMs and other AI models
- Experience applying responsible AI practices by embedding bias detection, safety validation, and explainability checks into QA processes and automation
- Experience collaborating across teams to ensure quality is built-in from the start, promoting a shift-left mindset and influencing engineering practices
- Experience using observability tools and data analytics to identify systemic issues and improve performance, coverage, and resilience
- Experience leading test strategy reviews, architecture discussions, and mentor engineers in automation, AI-enhanced QA workflows, and testing best practices
- Experience staying up to date with AI trends, tools, and regulations; adapt test strategies accordingly to support compliance, security, and innovation
- Experience leading testing strategy and execution across complex microservices and frontend/backend architectures (AWS, .NET, Angular, APIs, etc.)
- Experience designing, developing, and maintaining robust test automation frameworks, integrating seamlessly into CI/CD pipelines (Playwright, AWS CDK), with a DevSecOps mindset
- Experience pioneering the use of AI-driven testing solutions—evaluate and implement intelligent test generation, defect prediction, and adaptive test strategies using LLMs and other AI models
- Experience applying responsible AI practices by embedding bias detection, safety validation, and explainability checks into QA processes and automation
- Experience collaborating across teams to ensure quality is built-in from the start, promoting a shift-left mindset and influencing engineering practices
- Experience using observability tools and data analytics to identify systemic issues and improve performance, coverage, and resilience
- Experience leading test strategy reviews, architecture discussions, and mentor engineers in automation, AI-enhanced QA workflows, and testing best practices
- Experience staying up to date with AI trends, tools, and regulations; adapt test strategies accordingly to support compliance, security, and innovation
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