Senior AI-Workflow Platform Engineer

avalara; United States; On-site; USD 126,000 - 244,000; Full time

Benefits offered by this job

Health and Wellness Benefits

Paid time off

Inclusive culture and diversity initiatives

Job summary

Avalara is seeking an Enterprise Systems Engineer to lead the development of an AI-first workflow platform. This role involves ensuring operational reliability and security for AI workflows, utilizing technologies such as n8n and Kubernetes. Candidates should have extensive experience in DevOps and a solid educational background in Computer Science.

Successful candidates will demonstrate their ability to drive automation and improve system reliability while collaborating across teams to integrate AI into operations. Avalara offers a dynamic work environment where innovation thrives.

Qualifications

• 5–8+ years in DevOps, SRE, or platform engineering for SaaS.
• Strong experience with cloud providers and Kubernetes.
• Hands-on experience with logging and monitoring stacks.

Responsibilities

• Own the end-to-end lifecycle of AI workflow infrastructure.
• Ensure security and compliance in AI workflows.
• Define metrics and alerting for operational reliability.

Skills

DevOps

AI workflows

AWS/Azure/GCP

Infrastructure as Code (Terraform)

CI/CD

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

n8n

Kubernetes

Terraform

Linux

Prometheus

Job description

Avalara is seeking an Enterprise Systems Engineer to lead the development of an AI-first workflow platform. This role involves ensuring operational reliability and security for AI workflows, utilizing technologies such as n8n and Kubernetes. Candidates should have extensive experience in DevOps and a solid educational background in Computer Science.

Successful candidates will demonstrate their ability to drive automation and improve system reliability while collaborating across teams to integrate AI into operations. Avalara offers a dynamic work environment where innovation thrives.