Senior Platform Engineer

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead.

At the heart of Veeva are our values:
Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.

As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.

Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

The NitroAI team is seeking a Senior Platform Engineer to take dedicated ownership of our business consulting teams’ analytics infrastructure — an AWS and Kubernetes platform that’s ready for a focused engineering owner. You’ll be the sole dedicated platform engineer on business consulting, with high autonomy in execution and room to shape how the platform evolves. This role is for a hands‑on self‑starter who thrives on balancing performance, cost, and reliability, with an eye toward compliance from day one.

• Own and operate the AWS and Kubernetes platform: reliability, cost, and performance are your responsibility
• Lead Git Ops deployments: sync policies, deployment ordering, and configuration management
• Own CI/CD end-to-end: design and maintain Git Lab pipelines including shell and Docker runner management, automating promotion across local development, stage, and production
• Own incident response for the platform: diagnose failures, lead recovery, and document post‑mortems
• Establish platform observability for analytics business consulting: monitoring, alerting, and log visibility
• Maintain security baselines, access controls, and secrets management

• 5+ years hands‑on platform engineering experience with a strong focus on automation, tooling, and building distributed, scalable systems. 3+ on AWS and Kubernetes specifically EKS and Kubernetes: production workload management including RBAC and IRSA
• Expert‑level Git Lab CI/CD: including shell and Docker runner management, strong Bash scripting for deployment orchestration. Git Lab preferred, Git Hub Actions acceptable
• ArgoCD and Git Ops: production experience managing workloads across environments
• Proficiency with Terraform as the primary Infrastructure as Code tool
• AWS fluency:
  Lambda, ALB, WAF, Cloud Front, Cognito, Secrets Manager, Route
  53, KMS, ECR, VPC networking and public‑facing application hosting
• Working knowledge of security baselines and compliance‑oriented infrastructure design

• Experience managing Apache Airflow implementation via MWAA
• Proficiency with Claude Code
• Okta or SSO integration for platform authentication
• Serverless Framework for Lambda and function deployment pipelines
• Databricks Asset Bundles (DABs) for notebook and job deployment
• Grafana for platform observability
• SOC‑2 compliance experience in a data engineering context

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

• Base pay: $115,000 - $175,000
• 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…