Senior/Mid/Junior QA Engineer, Aily Labs
2 days a week in office
Decision intelligence app
Open for applications
Decision intelligence app
201-500 employees
Open for applications
2 days a week in office
201-500 employees
Company mission
To transform ways of working by empowering businesses with meaningful AI.
Role
Who you are
- 1–2 years of experience in manual and automated testing of data-driven applications
- Basic knowledge of automation frameworks such as Playwright or Appium
- Basic coding experience in Python
- Familiarity with testing web applications (ReactJS) and mobile applications (React Native)
- Some experience with testing API endpoints
- Basic knowledge of SQL databases
- Interest in end-to-end data testing and data analysis methodologies
- Good problem-solving skills and eagerness to learn debugging and log analysis
- Interest in performance and load testing
- 3+ years of experience in software testing (manual and automation)
- Strong experience with automation frameworks such as Playwright, Appium, or similar tools
- Solid coding experience in Python/Javascript for automation development
- Experience testing modern web and mobile applications
- Experience testing REST APIs and backend services
- Strong knowledge of SQL and data validation techniques
- Familiarity with CI/CD pipelines and test automation integration
- Understanding of test strategies for data pipelines and analytics-driven applications
- Strong debugging, root cause analysis, and log analysis skills
- Ability to independently deliver testing tasks and own QA responsibilities for features
- 5+ years of experience in software quality engineering
- Expertise in test automation architecture and framework design
- Advanced Python programming skills for automation tooling
- Strong experience testing complex distributed systems, APIs, and data pipelines
- Deep understanding of CI/CD pipelines and quality gates
- Experience with performance testing, monitoring, and reliability engineering
- Strong leadership and mentoring capabilities
- Ability to translate product and business requirements into scalable quality strategies
- Someone who thrives at the intersection of product quality, automation, and data-driven systems
- An engineer mindset who enjoys building scalable test frameworks and improving development workflows
- A problem solver who investigates root causes and ensures reliable solutions
- A strong communicator who collaborates effectively with engineering, product, and data teams
- Someone with a startup mindset—proactive, adaptable, and ready to take ownership of quality
- Ready to lead boldly by ensuring reliable AI-driven products that empower businesses to make confident decisions
- Applicants must already have the legal right to work in Spain or Romania
What the job involves
- Junior QA Engineer – 1–2 years
- Assist in developing and implementing testing strategies and processes to ensure high-quality software products
- Work closely with team members and mentors to understand business objectives and translate them into practical quality requirements
- Identify, document, and track defects while collaborating with cross-functional teams to resolve issues
- Support the creation and maintenance of test plans and test cases to ensure adequate test coverage
- Perform acceptance testing for web applications, mobile apps, and API integrations
- Assist in the design and development of automated test scripts
- Communicate effectively within the team to align QA objectives with overall business goals
- Identify risks under supervision and contribute to mitigation strategies
- Mid QA Engineer – 3+ years
- Design and implement testing strategies to ensure product quality across web, mobile, APIs, and data pipelines
- Build and maintain automated testing frameworks and expand test coverage across critical product areas
- Own QA responsibilities for specific product features and ensure high reliability in releases
- Develop and maintain end-to-end automated tests for UI, APIs, and data workflows
- Collaborate with product managers, engineers, and data teams to translate business requirements into effective quality validation
- Analyze quality metrics and test results to identify risks and recommend improvements
- Participate in root cause analysis and debugging of complex production issues
- Improve CI/CD quality processes and contribute to scalable test infrastructure
- Contribute to performance, load, and reliability testing strategies
- Senior QA Engineer – 5+ years
- Define and drive QA strategy across multiple product areas to ensure scalable and reliable testing practices
- Design and maintain advanced automation frameworks for UI, APIs, and data pipelines
- Own quality standards and enforce best practices for test automation, CI/CD integration, and release validation
- Lead QA efforts for major product initiatives and coordinate testing across multiple teams
- Design and implement comprehensive testing strategies including functional, integration, performance, and reliability testing
- Collaborate closely with engineering, product, and data teams to ensure quality is embedded in the development lifecycle
- Analyze production incidents and establish preventive quality mechanisms
- Drive improvements in test coverage, monitoring, and observability
- Mentor QA engineers and guide the team in adopting automation and AI-assisted testing practices
- Advocate for quality at the product level and influence engineering decisions that improve reliability
Our take
Data-led processes are becoming a differentiator for businesses across sectors. The ability to make smarter decisions faster is a great competitive edge and one that has been supercharged by the wider adoption of artificial intelligence. Supporting businesses to act smarter, Aily Labs supplies a decision intelligence app powered by generative AI.
The platform empowers users to increase both productivity and performance through deeper, smarter and faster decision-making. What makes Aily stand out from other offerings is that it does not build costly LLMs from scratch, instead using other machine-learning approaches to power many of its features.
With the ability to support revenue maximisation across all parts of a business, Aily's value is clear. It's no surprise then that the company has raised substantial funding. It plans to invest this in global expansion and to bolster its genAI teams, accelerating use cases and introducing the ability to generate “competitive intelligence” on rival companies from external sources.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (2 rounds)
Nov 2025
$80m
SERIES B
Aug 2023
$20.9m
SERIES A
Total funding: $100.9m
Company benefits
- Global company and culture
- Hybrid working model
- Fast growth path
Company HQ
Old Town, Munich, Germany
Leadership
Bianca Diana Anghelina
(Co-Founder)Previously the Head of Global Digital Finance at Novartis, Head of Global Business Planning and Analysis at Sandoz and Senior Consultant at BMW.
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