Principal Automation Engineer

🔥 1 minute ago

🏄 California, Colorado, +2 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $153.3k - $306.3k / year

⏰ Full Time

🔴 Lead

🤖 QA Automation Engineer

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Bitovi

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2005

🛍️ eCommerce

🤝 B2B

☁️ SaaS

eCommerce • B2B • SaaS

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

• Define and drive enterprise architecture for AI automation and business transformation. • Improve operational efficiency, resilience, and process quality by establishing scalable AI automation architecture standards and governance guardrails. • Accelerate transformation delivery and reduce rework through clear design frameworks, decision models, and reusable automation patterns. • Embed AI-first architectural practices that improve automation scale, decision quality, and measurable business outcomes. • Partner across business, platform, data, security, and engineering functions to create shared clarity from concept through execution for transformation initiatives.

🎯 Requirements

• B.S. in Computer Science or Engineering (required) • 10+ years of experience in solution, enterprise, or platform architecture roles • Strong hands-on experience with modern automation and integration platforms (iPaaS and workflow orchestration tools) • Experience architecting for platforms such as n8n, Boomi or similar platforms like mulesoft/workato, or comparable automation ecosystems • Experience designing AI-enabled, API-driven, and event-based architectures for enterprise workflows and transformation initiatives • Deep understanding of automation patterns, middleware, data transformation, agent orchestration, and human-in-the-loop workflow design • Strong knowledge of REST, webhooks, OAuth, SSO, API security, and governance best practices for AI-enabled systems • Experience with cloud-native architectures and AI/ML services (AWS, Azure, or GCP) • Proven ability to influence enterprise-wide technical direction and partner effectively with AI Automation Engineers, BSAs, and cross-functional leaders.

🏖️ Benefits

• Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance. • Paid time off. • Paid parental leave. • Bonuses.