QA Automation Engineer

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.

At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.

As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.

Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

The Role

Veeva Systems is looking for a curious, adaptable, creative QA Automation Engineer to join our successful and growing R&D team. The project is the Veeva Data Platform, a leading big-data ETL system which processes transactions and matches identities while preserving privacy.

What You'll Do

• Create clear test plans based on product requirements and automate it
• Help implement automation infrastructure and tests to cover product features
• Review and analyze test results
• Take part in all scrum activities (estimation sessions, planning, reviews)
• Work with CI/CD tools (Git, Jenkins, JIRA) daily

Requirements

• 2+ years of experience in writing automation tests in Java
• Bachelor’s in Computer Science or similar quantitative field Or 4 years of experience from a technological unit in the IDF
• Proficient in writing SQL queries
• Hands-on experience with Git and Jenkins
• Strong analytical skills with troubleshooting abilities
• Self-motivated and fast learner with a strong sense of ownership
• Fluent in English with strong communication skills
• Bachelor’s in Computer Science or similar quantitative field
• Strong verbal and written communication skills
• Proficient English skills

Nice to Have

• Experience with building automation infrastructure from scratch
• Experience with AWS, Azure, and GCP
• Experience with K8s and containers
• Proven experience working with data and ETL processes