About the role

Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.

The Data QE team is responsible for the quality of data, data services, and data components across our cloud and hybrid cloud environments. We develop tools, create fully automated regression suites and conduct performance tests for distributed data components at cloud scale. If you thrive on solving difficult problems, complex test scenarios, and developing high-performance QE tooling and automation, we would love to discuss our career opportunities with you.

What’s in it for you

• Develop and maintain automated test scripts for testing network application(s) and data ingestion pipeline.
• Strong knowledge of QA methodologies and manual testing. 
• Utilize scripting languages (e.g., Python) and automation frameworks to create efficient and effective test suites.
• Experience with containerization tools like docker and linux based operating systems.
• Experience with various network protocols like TCP/IP, HTTP/HTTP(s), IPSEC/GRE
• Collaborate with cross-functional teams to define comprehensive test strategies and test plans.
• Contribute to the development of test cases based on product requirements and specifications.
• Conduct regular regression testing to ensure the stability and integrity of network application(s) and data ingestion pipeline.
• Implement continuous integration and continuous testing practices to streamline the testing process.
• Work closely with development teams to understand product architecture and software design.
• Communicate effectively with team members to report test results, issues, and progress.
• Create and maintain comprehensive test documentation, including test plans, test cases, and test reports.
• Document automation scripts and ensure clarity in code documentation.

What you will be doing

• You will be writing tests and automation for our big data workflows
• You will help to validate ingestion pipelines and query platforms while working closely with the Data Engineers to optimize and test cloud-scale data infrastructure and platforms

Required skills and experience

• Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
• Proven experience in testing networking protocols.
• Strong programming skills, particularly in scripting languages (e.g., Python).
• Familiarity with networking concepts, protocols (TCP/IP, UDP).
• Excellent problem-solving and debugging skills.
• Strong communication and collaboration skills.

Preferred Skills:

• Experience with testing network applications is a plus.
• Experience with containerization is a plus.

Education

• BSCS or equivalent required, MSCS or equivalent strongly preferred

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