Állás részletei
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Cég neve
Diligent Governance Hungary Kft.
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Munkavégzés helye
Hibrid • Budapest -
Munkaidő, foglalkoztatás jellege
- Teljes munkaidő
- Általános munkarend
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Elvárt technológiák
- TESTING FRONTEND BACKEND AWS ANGULAR ANALYTICS SECURITY API DEVOPS DOCKER TEST AUTOMATION
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Elvárások
- Nem kell nyelvtudás
- 5-10 év tapasztalat
- Középiskola
Kis türelmet...
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
Állás leírása
Responsibilities
Lead testing strategy and execution across complex microservices and frontend/backend architectures (AWS, .NET, Angular, APIs, etc.)
Design, develop, and maintain robust test automation frameworks, integrating seamlessly into CI/CD pipelines (Playwright, AWS CDK), with a DevSecOps mindset
Pioneer 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
Apply responsible AI practices by embedding bias detection, safety validation, and explainability checks into QA processes and automation
Collaborate across teams to ensure quality is built-in from the start, promoting a shift-left mindset and influencing engineering practices
Use observability tools and data analytics to identify systemic issues and improve performance, coverage, and resilience
Lead test strategy reviews, architecture discussions, and mentor engineers in automation, AI-enhanced QA workflows, and testing best practices
Stay up to date with AI trends, tools, and regulations; adapt test strategies accordingly to support compliance, security, and innovation
Design, develop, and maintain robust test automation frameworks, integrating seamlessly into CI/CD pipelines (Playwright, AWS CDK), with a DevSecOps mindset
Pioneer 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
Apply responsible AI practices by embedding bias detection, safety validation, and explainability checks into QA processes and automation
Collaborate across teams to ensure quality is built-in from the start, promoting a shift-left mindset and influencing engineering practices
Use observability tools and data analytics to identify systemic issues and improve performance, coverage, and resilience
Lead test strategy reviews, architecture discussions, and mentor engineers in automation, AI-enhanced QA workflows, and testing best practices
Stay up to date with AI trends, tools, and regulations; adapt test strategies accordingly to support compliance, security, and innovation
Requirements
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, embedding monitoring and validation around AI components, 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
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, embedding monitoring and validation around AI components, 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
What we offer
Flexible work environment
Global days of service
Comprehensive health benefits
Meeting free days
Generous time off policy
Wellness programs
Hybrid work model with onsite work at least 50% of the time if within commuting distance to an office
Diversity and inclusion initiatives including Employee Resource Groups and educational resources
Global days of service
Comprehensive health benefits
Meeting free days
Generous time off policy
Wellness programs
Hybrid work model with onsite work at least 50% of the time if within commuting distance to an office
Diversity and inclusion initiatives including Employee Resource Groups and educational resources
Company info
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
How to apply
You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
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