Senior DevOps Engineer - Big Data

Veeva [NYSE: VEEV] is the leader in cloud-based software for the global life sciences industry. Committed to innovation, product excellence, and customer success, our customers range from the world’s largest pharmaceutical companies to emerging biotechs. Veeva’s software helps our customers bring medicines and therapies to patients faster.
We are the first public company to become a Public Benefit Corporation. As a PBC, we are committed to making the industries we serve more productive, and we are committed to creating high-quality employment opportunities.
Veeva is a Work Anywhere company which means that you can choose to work in the environment that works best for you - on any given day. Whether you choose to work remotely from home or work in an office - it’s up to you.
The Role
Veeva Opendata is seeking a Senior DevOps Engineer with exceptional talent to join our growing team. As a Senior DevOps Engineer on the Veeva Opendata team, you will be responsible for building and maintaining robust, scalable, reliable infrastructure to enable the team to quickly and efficiently scale-up. You’ll be focused on enabling Veeva Opendata to build an infrastructure to support data products/pipelines and build and scale a large-scale data product from the ground up. Experience with cloud providers (primarily AWS), CI/CD, container orchestration, security, and designing scalable systems will make you successful in this role.

What You'll Do

• Architect and implement scalable, highly available application solutions that leverage AWS services
• Providing deep software development knowledge with respect to cloud architecture, design patterns, and programming
• Implement DevOps practices such as infrastructure as code, continuous integration, and automated deployment that leverage AWS services
• Build deploy and manage CI/CD workflows that leverage GitOps practices
• Automate tasks across the full CI/CD lifecycle to create an efficient developer experience and reduce manual toil
• Build, manage, and deploy architectures using Terraform, Ansible, and Kubernetes
• Architect Big Data workflows to be cloud-optimized
• Design and build the tools, frameworks, systems, and processes that Opendata engineers use to build, integrate, deploy, scale, and manage their software and processes
• 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 engineering group
• Suggest architectural improvements, design, and integration solutions, and formulate methodologies and best practices
• Minimize the risk of reliability-related failure outcomes pertaining to durability, availability, performance, and correctness
• Patch and Upgrade the Opendata instances and services as required
• Wear many hats and fill in for other roles as necessary similar to being in a start-up

Requirements

• 7+ years in SRE or DevOps roles, with a focus on tooling, automation, and distributed systems development
• Extensive experience architecting, designing, and programming applications in an AWS Cloud environment
• Designing and building applications using Container and serverless technologies
• Experience architecting highly available systems that utilize load balancing, horizontal scalability, and high availability
• Hands-on experience using Terraform at scale
• Experience with configuration management platforms (e.g.  Ansible, Chef, Salt)
• Expert in scripting (Python, Bash, or similar languages)
• Proficient in developing/programming (Java or Python similar languages)
• Experience with continuous integration tools (e.g. Jenkins, CircleCI, Codefresh)
• Hands-on experience using EMR and EKS at scale
• Experience using monitoring frameworks to monitor the health and performance of infrastructure and applications
• Knowledge of Data Lakes and Databases
• Good to have experience in writing proposals and deriving estimations for DevOps projects
• Excellent presentation and demo skills
• Excellent documentation and communication skills

Nice to Have

• Familiarity with Databricks platform
• Experience with SQL, data modeling, and design

Perks & Benefits

• Allocations for continuous learning and development
• Annual budget to donate to the non-profit of your choice
• Health and wellness programs

#LI-Remote#BI-Remote
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com.