Enterprise Systems Engineer V (DevOps/AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Enterprise Systems Engineer V (DevOps/AI): Designing and managing a secure, enterprise-grade AI workflow platform using n8n with an accent on infrastructure governance, security, and reliability. Focus on building self-service AI automation tools, optimizing CI/CD pipelines, and embedding AI into DevOps operations to improve engineering effectiveness.
Location: Must be based in the United States (specifically mentions Colorado, Washington, California, or New York)
Salary: $126,000 – $244,000
Company
is a billion-dollar cloud compliance company specializing in tax technology and AI-first automation ecosystems.
What you will do
- Own the end-to-end lifecycle of AI workflow infrastructure, including n8n, runtime clusters, and supporting environments.
- Implement secure-by-design governance through hardened baselines, secret management, and IAM boundaries.
- Drive operational reliability by defining SLOs, metrics, and alerting to reduce MTTR and change failure rates.
- Develop reusable IaC modules and reference pipelines to standardize AI workflow deployments across teams.
- Act as a DevOps Bar Raiser by mentoring engineers and integrating AI tools into the software delivery lifecycle.
- Align AI workflow infrastructure with the company's Software Maturity Model (SMM) and engineering governance.
Requirements
- Must be based in the United States
- 5–8+ years of experience in DevOps, SRE, or platform engineering for large-scale distributed SaaS systems.
- Proficiency with major cloud providers (AWS, Azure, or GCP) and managed Kubernetes (EKS/AKS/GKE).
- Deep hands-on experience with Infrastructure as Code (Terraform) and CI/CD pipelines (GitLab CI/CD).
- Strong knowledge of Linux/Windows, networking fundamentals (DNS, TLS, routing), and secure secret management.
- Proven experience running multi-tenant shared platforms and applying AI tools to professional engineering operations.
Nice to have
- Experience with monitoring and logging stacks such as Sumo Logic, Splunk, Prometheus, or Grafana.
- Master's degree in Computer Science, Engineering, or a related field.
Culture & Benefits
- Competitive compensation package including annual bonus eligibility.
- Comprehensive health and wellness benefits: private medical, life, and disability insurance.
- Paid time off and paid parental leave.
- Inclusive culture with 8 employee-run resource groups supported by senior leadership.
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