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AI Quality Automation Engineer, DTG
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
AI Quality Automation Engineer, DTG (Python/AI): Building intelligent automated testing solutions and AI-enabled quality frameworks for complex Master Data Management pipelines with an accent on data validation, CI/CD automation, and enterprise data integrity. Focus on expanding end-to-end AI testing platforms, exploring agentic development workflows, and improving observability and root-cause analysis.
Location: Prague, Czech Republic; primarily in-office work is required, except during paid time off, work travel, or other approved leave.
Company
is reshaping the data storage industry through enterprise data infrastructure and innovative technology.
What you will do
- Develop and execute automated test suites and AI-enabled evaluation frameworks for complex Master Data Management pipelines.
- Evolve QA processes, automation platforms, and quality practices across MDM.
- Expand end-to-end AI testing platforms using generative AI and emerging AI capabilities.
- Experiment with AI agents and agentic workflows for test creation, validation, troubleshooting, and software delivery.
- Build and maintain CI/CD workflows with GitHub Actions and integrate telemetry and monitoring for improved observability.
- Partner with software, data, and QA engineering teams to establish quality checks, test plans, and validation metrics for enterprise data.
Requirements
- 2+ years of professional experience in Quality Engineering, test automation, software engineering, or data platform testing.
- Hands-on Python experience and practical experience building automated tests, test frameworks, API automation, or data validation solutions.
- Strong understanding of QA and automated testing, with an interest in improving quality processes, platforms, and tooling.
- Ability to investigate technical issues, develop practical solutions, and collaborate with software, data, and quality engineering teams.
- Ability and expectation to work from the Prague, Czech Republic office under company policies.
Nice to have
- Hands-on exposure to generative AI, LLMs, AI-assisted development, or agentic workflows.
Culture & Benefits
- Innovation-focused environment that encourages critical thinking and experimentation.
- Opportunities for professional growth and meaningful contributions.
- Collaborative, inclusive team culture with an emphasis on shared success.
- Flexible time off, wellness resources, and company-sponsored team events.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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