Principal DevOps Engineer • AI-Driven Sciences Platform

Veeva Systems

Raleigh (NC)

On-site

USD 150,000 - 230,000

Full time

10 days ago

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Benefits offered by this job

Medical, dental, vision, and basicLife
Flexible PTO and company holidays
Retirement programs
1% charitable giving

Job summary

Veeva Systems is pioneering AI-driven cloud solutions for the life sciences industry. As a Principal DevOps Engineer, you will help found a new product, shaping its architecture and engineering culture.

You’ll lead in cloud design, automation, and scalable infrastructure, partnering with teams to deliver reliable, secure platforms for live customers. You’ll mentor engineers, grow the codebase, and champion best practices across the organization while the AI-first strategy drives productivity and

Qualifications

  • 5+ years in DevOps roles with tooling, automation, and distributed systems.

Responsibilities

  • Provide in-depth software engineering expertise in cloud architecture and design patterns.
  • Implement core DevOps practices including IaC, CI, and automated deployments.
  • Build and manage robust CI/CD workflows to automate full-lifecycle tasks.
  • Provision, manage, and scale infrastructure using Ansible, Terraform, and Kubernetes.
  • Drive architectural design, integration solutions, and engineering best practices.
  • Improve system reliability, availability, and performance to minimize risk.

Skills

DevOps
AWS
IaC
Kubernetes
OpenShift
Python
Java/Scala/Go
CI/CD tooling
Monitoring/Observability
Technical writing

Tools

Ansible
Terraform
Jenkins
CircleCI
Codefresh

Job description

Veeva Systems is pioneering AI-driven cloud solutions for the life sciences industry. As a Principal DevOps Engineer, you will help found a new product, shaping its architecture and engineering culture.

You’ll lead in cloud design, automation, and scalable infrastructure, partnering with teams to deliver reliable, secure platforms for live customers. You’ll mentor engineers, grow the codebase, and champion best practices across the organization while the AI-first strategy drives productivity and

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