The Role

What You'll Do

• Build and manage multi-tenant, multi-region AWS Infrastructure at scale using best practices like infrastructure as code and leveraging AWS Services
• Design and build the tools, frameworks, systems, and processes that engineers use to build, integrate, deploy, scale, and manage their software
• Build, manage, and deploy architectures using technologies such as Terraform, Ansible, and Kubernetes
• Scale solutions from proofs-of-concept to full production systems
• Promote and implement best practices in observability (monitoring, tracing, alerting, logging) and high availability within the software engineering group

Requirements

• 7+ years of experience in cloud engineering with focus on AWS
• Hands-on experience with AWS Technologies such as EKS, RDS, EC2, IAM, Route 53, Auto Scaling, Elastic Load Balancing, Elastic Container Service, S3, EBS, VPC, Security Groups and more
• Hands-on experience with technologies such as Terraform, Helm, Containers, ArgoCD, Elastic, Prometheus, Grafana, Cloudwatch and more
• Experience deploying Java, SpringBoot apps in Cloud is highly desirable
• Strong mentors with a proven record of making your team better
• High work ethic. Veeva is a hard-working company
• High integrity and honesty. Veeva is a PBC and a “do the right thing” company. We expect that from all employees
• Excellent verbal and written English communication skills. Engineering is not all about the code, it’s also about communication
• Must be in Central or Eastern time zones
• Applicants must have the unrestricted right to work in the United States. Veeva will not provide sponsorship at this time

Perks & Benefits

• Medical, dental, vision, and basic life insurance
• Flexible PTO and company paid holidays
• Retirement programs
• 1% charitable giving program

Compensation

• Base pay: $110,000 - $270,000
• The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.

#LI-Remote

#LI-MidSenior

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.