Senior Platform Engineer

The Role

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.

What You'll Do

• Own and operate the AWS and Kubernetes platform: reliability, cost, and performance are your responsibility
• Lead GitOps deployments: sync policies, deployment ordering, and configuration management
• Own CI/CD end-to-end: design and maintain GitLab 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

Requirements

• 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 GitLab CI/CD: including shell and Docker runner management, strong Bash scripting for deployment orchestration. GitLab preferred, GitHub Actions acceptable
• ArgoCD and GitOps: production experience managing workloads across environments
• Proficiency with Terraform as the primary Infrastructure as Code tool
• AWS fluency: Lambda, ALB, WAF, CloudFront, Cognito, Secrets Manager, Route53, KMS, ECR, VPC networking and public-facing application hosting
• Working knowledge of security baselines and compliance-oriented infrastructure design

Nice to Have

• 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

Interviewing with Veeva

We value your time and believe in a transparent hiring process. Here is the process you can expect.

• Follow the application process and submit your resume.
• Within 3 days, you will receive a link to a personality assessment administered by a third party.
• Once you complete the assessment, our team will review your full application package and follow up via email with our decision.
• If moving to the interview stage, the process is as follows:
  • A conversation with the hiring manager
  • A practical case exercise
  • A final conversation with our group's Senior Leader.
• Once all interviews are complete, the manager will be in touch with a final decision.

Perks & Benefits

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

Compensation

• 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 qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.