Enterprise Systems Engineer V – DevOps

🕒 August 5

🏄 California, Colorado, +1 more states – Remote

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💵 $126k - $244k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚙️ Systems Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 5%

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Logo of Bitovi

Bitovi

51 - 200 employees

Founded 2005

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Bitovi is a collaborative team of experts dedicated to helping clients swiftly deliver exceptional applications. They provide a comprehensive range of services, including consulting, training, strategy, project management, product design, frontend and backend development, and DevOps engineering. With a focus on validation-driven development, Bitovi has partnered with notable clients like Yum! Brands and Sam's Club to build robust ecommerce platforms and innovative solutions tailored to their needs.

📋 Description

• 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

• 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

• 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

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