Enterprise Systems Engineer V

Within 12 months, you will have demonstrably:

Stood up an Enterprise ‑ Grade AI Workflow Platform

n8n and at least one additional AI workflow tool are running on a governed, multi ‑ environment platform (dev/test/prod) with standardized CI/CD, IaC, and security controls in place.

Improved Reliability and Change Management for AI Workflows

Measurable reductions in incident frequency and MTTR for AI workflow infrastructure, along with reduced deployment failures or rollbacks for n8n ‑ backed automations.

Raised Maturity and Governance Compliance

Documented uplift in SMM/DevOps maturity scores for the AI workflow platform along CI/CD, security, IaC, and observability dimensions, with evidence used in audits and ARB reviews.

Accelerated AI Workflow Delivery

Multiple teams actively building on the platform using standardized patterns and templates , with data showing shorter time ‑ to ‑ production and reduced manual operations for AI workflow changes.

Demonstrated Bar Raiser Impact

Peer and leadership feedback, plus concrete examples, show you have raised standards for DevOps, automation, citizen developer adoption, and AI usage (e.g., documented patterns, training sessions, or platform improvements that others now rely on).

Avalara is an AI-first company; this role must show applied AI impact, not casual tool usage. As a Senior DevOps Engineer for AI workflows, you are expected to leverage deep DevOps and platform engineering expertise to integrate AI into the software delivery and operations lifecycle in meaningful, measurable ways. This role should elevate how teams use AI across automation, observability, reliability, and release engineering, delivering tangible improvements in speed, stability, scalability, and operational excellence. A successful candidate will

Design AI ‑ Enhanced Operations for the Platform Use AI to augment incident triage, anomaly detection, capacity forecasting, and change ‑ risk assessment for n8n and related infra—e.g., AI ‑ assisted log analysis, pattern detection in pipeline failures, and recommendation of remediation steps.

Accelerate Infra and Automation Delivery with AI Apply AI tools to speed up design and implementation of IaC, automated CI/CD pipelines, security policies, and runbooks , while still exercising strong judgment and governance over generated artifacts.

Embed AI into the Platform Experience Itself Partner with integration and platform teams to enable AI ‑ driven orchestration patterns (for example, intelligent routing, adaptive retries, intelligent throttling) within n8n or surrounding services, where it meaningfully improves reliability or cost.

Raise AI Maturity Across Teams (Bar Raiser) Share AI practices, patterns, and guardrails with engineers and citizen developers using the platform so AI materially improves outcomes (cycle time, incident reduction, automation coverage) instead of becoming ad ‑ hoc experimentation.

Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.