Senior DevOps Engineer, Veeva

• 7+ years of experience in SRE or DevOps roles, emphasizing tooling, automation, and development of distributed systems
• Extensive experience in architecting, designing, and programming applications within an AWS Cloud environment, including serverless and container technologies
• Proficiency in designing and implementing applications using Container and serverless technologies
• Expertise in architecting highly available systems
• Hands-on experience with Terraform, and Kubernetes at scale
• 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)
• Hands-on experience with AWS EMR and AWS Glue
• Familiarity with monitoring frameworks to track infrastructure and application health and performance
• Deep knowledge of Data Lakes and Databases
• Excellent skills in proposal writing, project estimation, presentation, and documentation

Desirable

• Veeva Opendata is in search of a Senior DevOps Engineer with standout expertise to join our expanding team
• This role is crucial for developing and maintaining a resilient, scalable, and efficient infrastructure to support our growth
• You will play a key role in enabling Veeva Opendata to architect and implement infrastructure that underpins advanced data products and pipelines
• Your charge includes crafting and expanding a large-scale data product from the ground up
• Architect and deliver scalable, highly available application solutions utilizing AWS services
• 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, emphasizing GitOps practices
• Develop, deploy, and manage CI/CD workflows, automating tasks across the full lifecycle to enhance developer experience and efficiency
• Construct, manage, and deploy architecture utilizing Terraform, Ansible, and Kubernetes
• Design cloud-optimized Big Data workflows
• Architect, implement and manage large-scale data pipelines using tools like Airflow, optimizing for cloud environments
• Develop the tools, frameworks, systems, and processes used by Opendata engineers for building, integrating, deploying, scaling, and managing their software
• Scale solutions from proofs-of-concept to fully operational production systems
• 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
• Play a pivotal role in driving architectural excellence by recommending enhancements, devising cutting-edge design and integration solutions, and formulating foundational methodologies and best practices