Lead QA - SaaS -Microservices

We are looking for a Lead

QA Engineer

to join our team and play a key role in ensuring the quality and reliability of our solutions.

You will be responsible for designing and implementing test strategies, building automation frameworks, and collaborating closely with developers, product owners, and customers.

Responsibilities Design and implement comprehensive

test strategies

aligned with project requirements.

Build a

test automation framework from scratch , selecting the right tools and libraries.

Create and maintain

test plans

in

Azure DevOps , defining sprint testing scope and updating documentation.

Collaborate with stakeholders and customers to analyze

requirements and technical documentation .

Automate

UI testing

using

Python + Selenium .

Automate

API testing

using

Python + requests

and

Postman .

Execute

smoke, regression, and full test suites , collecting and analyzing logs with

VM, Azure Pipelines, Allure, and Grafana .

Perform

functional, integration, load, and stress testing .

Work with

hardware , including software installation, device connection, and maintenance.

Manage data flows, including

sending data to devices

via

SaaS platforms and NATS messages .

Test

microservices-based architectures

to ensure stability, scalability, and reliability.

Requirements Proven experience as a

QA Engineer

with strong expertise in

automation frameworks .

Hands-on experience in

Python (Selenium, requests)

for automation.

Proficiency with

Postman

for API validation.

Experience with

Azure DevOps

(test plans, pipelines).

Familiarity with

logging, monitoring, and reporting tools

(Grafana, Allure).

Solid background in

functional, integration, and performance testing .

Ability to work with

hardware setup and maintenance .

Knowledge of

microservices testing

and distributed systems.

Strong communication skills and ability to work with

customer requirements .

Analytical mindset, attention to detail, and problem-solving skills.

Nice to Have Experience with

cloud platforms (Azure preferred) .

Knowledge of

CI/CD pipelines .

Exposure to

data streaming technologies .