Automation Architect

* Web automation experience is NOT relevant for this position.

READY TO DO SOMETHING BIGGER?

If you’re never satisfied with the status quo, and always pushing for more, you’ll fit right in here. SQream is helping the world's largest, most innovative companies do things that weren’t even possible before. SQream offers 3 products: a GPU-based analytical data platform for petabyte-scale data (SQreamDB), a GPU-based data lakehouse that migrates, transforms, and queries complex, multi-terabyte scale datasets (SQream Blue), and a managed low-code ELT and analytics platform (Panoply) enables users to sync, store, and access all their business data.

We're looking for an experienced and self-driven Automation Architect to join our team and to be the Technical Lead for all our QA Automation engineers.

You will need to have experience with large and complex systems and be able to think creatively, learn new things, adapt to a constantly changing environment, and mentor a large team of QA Automation engineers.

Responsibilities:

• Mentor a diverse QA team across different locations
• Develop and implement QA strategies and plans in coordination with R&D teams
• Design and review Python code
• Implement test scripts utilizing Python and SQL
• Execute regression tests using automated frameworks
• Monitor/Test Linux resource allocations (Memory, CPU, Limits, Etc.)
• Perform ongoing functional, system, performance, and regression activities

Requirements:

• Web automation experience is NOT relevant for this position.
• 5+ years of experience as a Python Developer
• Experience as a Tech Lead\ Automation Architect
• Experience working with Linux OS – Must
• Solid Knowledge in SQL - Must
• Strong knowledge of software testing methodologies, tools, and processes.
• Experience in building and implementing QA processes across multiple teams.
• Excellent communication, leadership, and problem-solving skills.
• Proven work experience with Databases.
• Experience working in Git, Jira ,Jenkins.
• Experience with AWS / GCP Cloud environments.