Senior Automation QA (Java) Engineer 30 (only Ukraine). Welcome bonus 4000$ (вакансія неактивна)

— 3+ years of software development and debugging experience in Java or other high-level programming language
— Knowledge of industry standard test automation libraries and tools and experience developing test automation and/or new test frameworks
— Experience with agile methodologies, continuous integration, and the full SDLC
— Excellent written communication skills
— English level — Intermediate

— Direct experience scripting via Python or other scripting tools

— Vacation is 20 working days / till 20 working days per year for sick leaves
— Full payment of taxes
— English courses
— Flexible work schedule
— Friendly environment
— Medical insurance
— Opportunity for career growth

— Be responsible for the design and implementation of test automation, frameworks, and tools used for the customer’s suite of software and analytics solutions
— Work as an individual developer to develop and enhance automated tests for regression and feature testing, as well as framework libraries and new tools
— Review product requirements in close collaboration with product owners and development
— Author and review test plans, test strategies, test reports, and test cases with all key stakeholders
— Become a subject matter expert; understand business use cases and feature implementation
— Contribute to load, performance, service reliability, and stress testing
— Contribute creative ideas to evolve our Agile-based development and testing methodologies
— Up level QA team maturity by contributing to code reviews, improving test frameworks, CI/CD, monitoring nightly tests, identifying code coverage gaps, and helping with other SDLC process components

The сustomer.
The customer is an American company based in Chicago. It accelerates digital transformation for the insurance and automotive industries with AI, IoT and workflow solutions.

About the Project:
The team creates a software platform for the collection, analysis, processing, and reporting of automatically generated vehicle telemetry for new automobiles. These services process terabytes of information and integrate with artificial intelligence models to identify and assess crashes and their severity. Driver behavior, active safety features, and environmental conditions are just some of the data attributes collected and evaluated in real time. In the event of accidents, these services initiate automated responses in the form of emergency assistance, vehicle transport, a replacement vehicle, medical services, etc.

Project Advantages:
Industry standard REST APIs and SaaS
Scalability challenge of collecting high frequency telemetry on millions of autos
Big data processing algorithms
Marketable open-source tools used extensively
Agile development processes with integrated DevOps
Continuous Integration and Deployment (CI / CD)

Project Team:
The team consists of 8 people: PO, Developers, SDETs and Scrum Master.

QA works in lock step with the Development team in an Agile development process. They partner with the development team to develop and maintain unit and integration tests that run at compile time of every build. QA team members are key contributors to the source code review process required prior to checking in new code to the release branch. They create functional regression tests that are run at code deployment time, the test automation framework used to execute and report on regression tests, and load testing to verify the performance and scalability of all services.

Project Tech Stack:
Allure, Appium, Bitbucket, Gatling and JMeter, Jenkins, Jira, JUnit, SonarQube, Spinnaker, Spinnaker, TestLink, TestNG

Project Stage:
Active Development