About Alteia
Alteia is a leading enterprise A.I. software provider focused on streamlining the use of visual data to generate real-time business intelligence. Developing and deploying visual intelligence at scale requires the use of complex technology stacks where algorithms and models need to be placed at the center of business operations. That's why Alteia delivers a family of integrated products that have been purpose-built to accelerate the implementation of A.I. applications, making quick work of large data sets from disparate systems:
the Alteia software platform to rapidly contextualize large amounts of disparate data and operate enterprise A.I. applications quickly.
the Alteia pre-built SaaS applications, for rapidly addressing high-value use cases in various market segments.
Joining Alteia means becoming part of a team at the forefront of innovation, where algorithms and predictive models are at the core of the value we deliver to our customers.
Your Role
As our Senior QA Engineer, you are a key pillar of quality within our product teams. You don't just find bugs — you design robust test strategies, build reliable automation suites, and make sure every release meets our highest standards. Working hand-in-hand with developers, Product Owners, and the Lead QA, you bring both technical depth and a quality-first mindset to everything you ship.
Your Key Missions
Own Test Automation: Design, develop, and maintain automated test suites (UI, API, non-regression) using modern frameworks. Ensure they are efficient, maintainable, and fully integrated into our CI/CD pipelines.
Investigate & Troubleshoot: Dive deep into complex issues, collaborate closely with developers to identify root causes, and drive defects to resolution.
Ensure Release Quality: Execute and coordinate test campaigns across sprints and releases. Own the quality sign-off for the features and modules you cover.
Collaborate Across Teams: Work closely with Product Owners and developers to clarify acceptance criteria, contribute to 3-Amigos sessions, and shift quality left in the development cycle.
Contribute to Quality Improvement: Identify gaps in coverage, propose improvements to testing processes, and actively participate in the continuous improvement of our QA practices.
Your Profile
Education: Engineering degree or equivalent (Master's level).
Experience: 3–5 years of experience as a QA Engineer, with demonstrated expertise in test automation on SaaS or enterprise software products.
️ Technical Expertise: Strong hands-on experience with one or more automation frameworks (Cypress, Playwright, or Selenium) and API testing tools (Postman, REST). Proficiency in JavaScript or Python. Solid understanding of CI/CD pipelines (Git, GitHub Actions, GitLab CI).
QA Mindset: Detail-oriented, proactive, and genuinely passionate about quality. You anticipate issues rather than just react to them.
Data Awareness: Familiarity with data-driven testing and the ability to validate complex data flows is a strong plus in our AI/Data context.
️ Skills & Languages: Fluent English is a must. Clear and concise communication to work effectively with cross-functional teams.
Why Join Us?
Real Impact: Your work directly influences the reliability of a cutting-edge AI platform used by major enterprises worldwide.
Unique Challenges: Tackle the complexity of testing at the intersection of Big Data, SaaS, and AI — no two days look the same.
Room to Grow: Join a team where quality is taken seriously, and where your expertise will be valued, challenged, and developed.
A Culture of Excellence: Work alongside passionate engineers and a Lead QA who will support your growth and empower you to do your best work.
