Senior DevOps Architect — AI Workflows

Avalara, Inc.

United States

On-site

USD 126,000 - 244,000

Full time

14 days+

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Job summary

Avalara is scaling an AI-first automation platform for tax, finance, and operations. As a Senior DevOps Engineer for AI workflows, you will design, deploy, and run the enterprise-grade infrastructure that underpins n8n and related tools, with strong governance, security, and observability baked in.

You will champion reliability, enable self-service for teams, and raise platform maturity by codifying patterns, templates, and guardrails, while mentoring engineers and driving AI-driven improvements

Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
5–8+ years in DevOps, SRE, or platform engineering for SaaS or large-scale distributed systems.
Experience with AWS/Azure/GCP and Kubernetes, including EKS/AKS/GKE.
Hands-on with Infrastructure as Code (Terraform or equivalent).
Proven ownership of CI/CD pipelines (GitLab CI/CD or similar).
Strong Linux/Windows, networking basics, secret management.
Experience with logging/monitoring stacks and defining meaningful SLOs and alerts.
Experience running multi-tenant platforms and using AI tools in engineering with clear impact.

Responsibilities

Platform Ownership – AI Workflow Infra (incl. n8n)
You are the technical owner for the infrastructure and core components that run n8n and related AI workflow tools—environments, CI/CD, containers, runtime clusters, storage, secrets, networking, and integrations—ensuring they are resilient, scalable, and cost‑effective.
Secure‑by‑Design Governance
You embed security, privacy, and compliance into how AI workflows are built and run: hardened baselines, secret management, network and IAM boundaries, and CI/CD guards that prevent unsafe changes from reaching production.
Operational Reliability & Observability
You define and drive SLOs, metrics, logging, and alerting for the AI workflow platform, turning incidents into systematic improvements that reduce MTTR and change failure rates over time.
Standardization & Reuse for AI Workflows
You create and enforce reusable patterns (templates, reference pipelines, IaC modules, guardrails) so teams building on n8n and other tools follow consistent, auditable practices instead of bespoke one‑offs.
Maturity & Governance Alignment (SMM / ARB)
You partner with architecture, security, and platform teams to align AI workflow infra with Avalara's Software Maturity Model and engineering governance, moving the platform and guiding teams to higher levels of maturity.
Bar Raiser for DevOps & AI‑First Ways of Working
You elevate how teams build and operate automations by mentoring engineers, codifying best practices, and using AI tools yourself to materially improve speed, quality, and reliability of the AI workflow platform.