DevOps Engineer - Data Platform

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

At Veeva Crossix, we're developing and managing a robust data platform designed to process vast amounts of medical data, helping us understand consumer behavior while maintaining strict patient privacy standards. The Audiences team leverages this data to build machine learning models, enabling marketers to effectively target their campaigns to the right audience. We are seeking a DevOps engineer to take charge of the DevOps activities for the Audiences team.

What You'll Do

• Work with Product, R&D, and integration teams to define and implement CI/CD to apply in production, staging, and testing environments in AWS
• Optimize environments for security, performance, and cost, and optimize processes for speed.
• Define and integrate monitoring solutions
• Use tools like Terraform GitHub actions to deploy and maintain services using K8s and EMR
• Become a product deployment and operation expert

Requirements

• Concrete, hands-on experience with AWS
• At least 3 years of experience in building deployment pipelines using CI/CD tools such as using GitHub actions or Jenkins
• Experience in working with product and engineering in building and supporting production systems
• Experience with containers and K8s
• Autodidact who loves to jump and learn new technologies

Nice to Have

• Linux system administration experience.
• Java/MySQL