At Provectus, we are obsessed with technologies that impact the future of the whole of humanity. Just imagine: AI for curing eye diseases, ML for making factories safe for workers, preventing pandemic spreading, etc. It’s not about the future, it’s about the products we’ve already developed with #ProvectusTeam.
Join us if you have the same passion for making products using AI/ML technologies, cloud services, and data engineering.
Join us if you value a friendly corporate environment, and almost a family-driven approach to every employee.
Join us if you want to grow professionally and ready for learning new things constantly.
As a QA Engineer, you’ll be provided with all opportunities for development and growth.
About your first project at Provectus:
Determine, a Corcentric company is a leading global provider of SaaS Source-to-Pay and Enterprise Contract Lifecycle Management (ECLM) solutions. The Determine Cloud Platform provides procurement, legal and finance professionals analytics of their supplier, contract and financial performance.
What is required:
— Knowledge of Java\BeanShell, at least 1 year of software development experience with Java and extensive testing of APIs;
— Experience in creating load/performance testing JMeter scenarios;
— Excellent troubleshooting instincts, fact-finding technical investigations, analytic skills, curiosity, and willingness to learn;
— Knowledge of Web technologies, such as HTML, CSS, Javascript, XML, JSON, HTTP Protocol, RegExp;
— Operating System Windows 7/10, Unix, Linux;
— Deep experience with QA methodologies, understanding of Agile, Kanban software development process, SDLC, and QA role in it;
— Basic understanding of systems environments — shared resources, components, and services; CPU/memory/storage/network and soft resources;
— Verbal and written communication skills in English (preferred level is Intermediate or higher).
It will be a plus:
— 1+ years of experience performance testing Web applications in SaaS platforms and client-server architecture;
— Knowledge and practical experience of work with GitHub/SVN, JMeter;
— Experience with usage of Zabbix, Graylog;
— Task management/bug tracking with Jira, experience of work in Scrum teams;
— Experience with RDBMS MySQL, Mongo DB, Oracle;
— Understanding of scalability, capacity, and reliability as quality attributes and requirements.
Duties:
— To analyze performance requirements with PO and TL and improve requirements by adding details;
— To create performance automation test cases;
— To plan testing activities and inform TL, TC, and PO;
— To work closely with QA\web-ops\dev-ops teams;
— To help in configuration and hardware improvement activities;
— To inform project stakeholders on product quality by performance reports;
— To work with performance defects from customers;
— To increase performance automation test coverage;
— To maintain Performance CI infrastructure.
Responsible for:
— Performance automation test coverage;
— Defects creation/verification;
— Performance QA documentation;
— Quality Activities are planned and executed;
— Performance reports.
What we offer:
— We offer you attractive professional and educational opportunities, competitive salary, interesting projects, and fun colleagues who make every online and offline event a treat.
— Find out more about our company: provectus.com.
— Some details about our office spaces: jobs.dou.ua/...mpanies/provectus/photos
About the company:
Provectus is a Palo Alto-based software engineering & services company.
From the start, we have specialized in skills related to leading edge technologies and methodologies. This is underlined by 90% of our business originating from the Silicon Valley startups and "A" round companies. We have served hundreds of customers and have consistently been engaged on the very latest trends even if we were not ourselves a classic startup.
Provectus helps companies adopt AI to transform the ways they operate, compete, and drive value. As an APN Premier Consulting Partner, we take advantage of AWS AI/ML services, including AWS Antar, enabling customers across a wide range of industries to improve quality control and reduce operational costs through intelligent anomaly detection.