DevOps Engineer, Veeva

• 3+ years of experience in DevOps roles, emphasizing tooling, automation, and development of distributed systems
• Extensive experience in designing, and programming applications within an AWS Cloud environment
• Proficiency in designing and implementing applications using Container and serverless technologies
• Hands-on experience with Ansible or Terraform
• Hands-on experience with docker orchestrations such as Kubernetes, openshift
• Expertise in configuration management platforms
• Experience in developing in Python
• Proficient in programming in Java, Scala, Go, or similar languages
• Experience with continuous integration tools (e.g., Jenkins, CircleCI, Codefresh)
• Familiarity with monitoring frameworks to track infrastructure and application health and performance
• Excellent skills in proposal writing, project estimation, presentation, and documentation
• Candidate must be in the AST, CST, or EST time zone
• We are looking for strong mentors with a proven record of making your team better

Desirable

• We are looking for a DevOps Engineer to build a robust, scalable, and operational infrastructure that will enable Veeva to quickly and efficiently scale to meet the needs of our multi-billion dollar customer base
• Your focus will be ensuring Veeva's products are delivered to our customers quickly and with the best quality possible
• Provide in-depth software development expertise focusing on cloud architecture, design patterns, and programming
• Implement DevOps practices such as infrastructure as code, continuous integration, and automated deployment
• Develop, deploy, and manage CI/CD workflows, automating tasks across the full lifecycle to enhance developer experience and efficiency
• Construct, manage, and deploy infrastructure utilizing Ansible, Terraform, and Kubernetes
• Recommend architectural enhancements, design, and integration solutions, and establish methodologies and best practices
• Aim to minimize the risk of reliability-related failures, focusing on durability, availability, performance, and correctness