Enterprise Systems Engineer V – DevOps

Bitovi

Senior DevOps Engineer building Avalara's secure AI workflow platform, including n8n, for tax compliance automation. Owning cloud infrastructure, governance, observability, reliability, and AI-enhanced operations at enterprise scale.

Posted 8/5/2026full-timeRemote • California, Colorado, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $126,000 - $244,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing AI workflow infrastructure, including CI/CD, Infrastructure as Code, and cloud platforms. Proven ability to enhance operational excellence through automation, security, and compliance in large-scale distributed systems.

Highest-signal resume keywords

DevOps EngineeringInfrastructure as Code (IaC)CI/CD Pipeline ManagementCloud Platform Expertise (AWS, Azure, GCP)AI Workflow Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

CI/CDInfrastructure as Code (IaC)AWSAzureGCPTerraformLinuxKubernetesLogging and MonitoringSLO Definition

Soft Skills

Clear CommunicationMentoring

Tools & Technologies

N8nGitLab CI/CDSumo LogicSplunkPrometheusGrafana

Industry Keywords

SaaSDistributed SystemsSecurity ManagementIncident ManagementOperational Excellence

Tech Stack

Tools & technologies

AWSAzureDistributed SystemsDNSFirewallsGoogle Cloud PlatformGrafanaKubernetesLinuxPrometheusSplunkTerraform

About the role

Key responsibilities & impact

Own the end-to-end lifecycle of Avalara's AI workflow infrastructure, including n8n and related tools
Design, set up, deploy, and operate infrastructure and platform components including environments, CI/CD, containers, runtime clusters, storage, secrets, networking, and integrations
Build a secure, enterprise-grade AI workflow platform across dev, test, and production environments
Embed security, privacy, compliance, hardened baselines, secret management, network and IAM boundaries, and CI/CD safeguards
Define and drive SLOs, metrics, logging, alerting, incident reduction, and MTTR improvements
Create reusable templates, reference pipelines, IaC modules, and guardrails for standardized AI workflows
Align AI workflow infrastructure with Avalara's Software Maturity Model and engineering governance
Mentor engineers and citizen developers and codify DevOps, automation, and AI best practices
Use AI for incident triage, anomaly detection, capacity forecasting, change-risk assessment, IaC, CI/CD, security policies, runbooks, and orchestration patterns
Partner with architecture, security, platform, integration, operations, and business teams
Deliver measurable improvements in reliability, deployment success, cycle time, automation coverage, scalability, and operational excellence

Requirements

What you’ll need

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
Direct ownership of production environments
Strong experience with AWS, Azure, or GCP, including VPC design, security groups, load balancers, and managed Kubernetes or equivalent orchestration
Deep hands-on Infrastructure as Code experience with Terraform or equivalent
Proven ownership of CI/CD pipelines such as GitLab CI/CD, including automated testing, security scanning, and artifact management
Solid understanding of Linux and/or Windows
Knowledge of DNS, TLS, routing, firewalls, and secure secret management
Hands-on experience with logging and monitoring stacks such as Sumo Logic, Splunk, Prometheus, Grafana, or equivalents
Experience defining meaningful SLOs and production alerts
Experience running or supporting multi-tenant or shared platforms used by multiple teams
Evidence of using AI tools in day-to-day engineering or operations with measurable impact
Experience mentoring engineers and supporting citizen developers new to agentic AI and automation concepts
Clear communication with engineering, security, operations, and business stakeholders
Applicants must be currently authorized to work in the USA

Benefits

Comp & perks

Annual bonus based on individual and company performance
Paid time off
Paid parental leave
Private medical insurance, varying by location
Life insurance, varying by location
Disability insurance, varying by location
Inclusive culture and diversity, equity, and inclusion initiatives
Eight employee-run resource groups with senior leadership and executive sponsorship