Tester with Programming and Automation Elements (AI/QA)

We are a software house full of professional, highly talented people ready to jump into any project and give their best. Systems integration, business process automation, and application development are our everyday work – and what sets us apart from the competition. We operate across multiple industries (finance, insurance, telecommunications, utilities), and working with us means not only completing tasks but also having a real impact on the team and the direction of the project.

We are currently looking for a person to join the team developing an internal AI‑based solution that automates the support ticketing process.

More precisely, you will be responsible for:

• Functional and non‑functional testing of the AI‑supported system

• Identifying areas for automation and selecting appropriate technologies and tools

• Creating, developing, and implementing test automation based on MCP servers, AI bots, Python, code‑level tests, and end‑to‑end tests

• Using AI tools that support the testing process

• Analysing results and reporting – including error categorization and identification of flaky tests

• Participating in the creation of test strategies and test plans

• Identifying, defining, and documenting test scenarios

• Collaborating with developers, ML engineers, and the product owner on implementing new or modified functionalities

Requirements:

• Ability to plan tests and think long‑term

• Experience working with hyperscalers (GCP / AWS / Azure)

• Knowledge of testing tools and frameworks (JUnit, Mockito, Spock, Cypress, JMeter or equivalents) – minimum 3 years of experience

• Knowledge of Python and system scripting – minimum 3 years of experience

• Knowledge of Git, CI/CD, and engineering best practices – minimum 3 years of experience

• Willingness to work with AI tools and explore new applications in testing

• Experience in testing AI/ML solutions

• Knowledge of OpenTelemetry

• Experience testing with MCP servers and integrating AI with other tools

• Knowledge of AI tools supporting QA (e.g., test generation, log analysis, regression automation)

• Knowledge of communication protocols (SOA, microservices, event‑driven architecture) and major database engines

• Ability to work comfortably in an English‑speaking team

Proces

Etapy rekrutacji

1

Rozmowa wstępna

Abyś mógł lepiej zrozumieć, kim jesteśmy i czym się zajmujemy. Wszystko, czego potrzebujemy, to kilka minut Twojego czasu i kilka odpowiedzi, takich jak motywacja i oczekiwania, aby poznać Cię nieco lepiej, ok. 30 min rozmowa na MS Teams z Olą – TA & People Specialist w Savangard

2

Rozmowa techniczna

To okazja, aby Hiring Manager mógł realnie ocenić poziom Twoich umiejętności technicznych i sprawdzić, na ile odpowiadają one wymaganiom roli.

3

Ostateczna decyzja

W ciągu 2 tygodni od rozmowy kwalifikacyjnej skontaktujemy się z Tobą i przedstawimy Ci naszą decyzję!