Principal CloudOps Engineer - Dublin, California - USA (On-Site)

Dublin, CA (HQ)

Articul8

Welcome to Articul8 - The GenAI platform that brings order to chaos.

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About Articul8 AI 

At Articul8 AI, we build enterprise-grade Generative AI platforms that drive real-world impact. We combine deep technical expertise with a mission-driven mindset to empower businesses and communities through transformative AI solutions. 
Join a team that prizes technical excellence, relentless innovation, and a commitment to making a difference. 

The Opportunity 

We’re looking for a Principal CloudOps Engineer to lead the design, development, and scaling of our next-generation AI platform infrastructure. 
You’ll drive architecture decisions, mentor engineers, and ensure our GenAI platform is highly scalable, reliable, and secure across cloud environments (AWS/GCP/Azure). 

This is a hands-on leadership role at the intersection of CloudOps, MLOps, and GenAI innovation — perfect for someone passionate about building at scale and shaping the future of enterprise AI. 

What You'll Do 

  • Lead architecture and delivery of cloud-native and cloud-agnostic infrastructure for our enterprise GenAI platform. 

  • Design, build, and optimize infrastructure to support large-scale AI/ML workloads, including LLMs and GenAI applications. 

  • Collaborate closely with Product, Research, and Customer Success teams on roadmap planning and technology evaluation. 

  • Set technical best practices for cloud infrastructure, automation, monitoring, and reliability at scale. 

  • Mentor and coach engineers; help grow the team’s technical culture. 

  • Participate in on-call rotation as needed to ensure platform reliability. 

  • Drive continuous improvement in security, cost optimization, and operational excellence. 

Required Qualifications 

  • 8+ years of hands-on experience designing, building, and operating cloud infrastructure on AWS, GCP, or Azure

  • Deep understanding of the Well-Architected Framework and cloud-native best practices. 

  • Expertise in infrastructure-as-code (e.g., Terraform, CloudFormation, Pulumi). 

  • Strong background in cloud networking, security, and observability. 

  • Experience supporting AI/ML or data-intensive workloads in production environments. 

  • Proven success leading technical projects and mentoring other engineers. 

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 

Preferred Qualifications 

  • Master’s degree in Computer Science, Engineering, Data Science, or a related technical field. 

  • Professional Cloud Certification (e.g., AWS Solutions Architect, GCP Professional Cloud Architect, Azure Solutions Architect Expert). 

  • Experience building cloud-native MLOps platforms or managing large-scale AI/ML infrastructure. 

  • Strong background in SRE/DevOps principles with automation-first mindset. 

  • Previous experience in a hyper-growth startup or building enterprise-grade SaaS products. 

Why Articul8 AI? 

  • Impactful Work: Build infrastructure for enterprise-grade GenAI products that make a real-world difference. 

  • Cutting-Edge Tech: Work with the latest cloud, AI, and MLOps technologies. 

  • Growth Culture: Continuous learning, mentorship, and professional development opportunities. 

  • Flexibility: Remote-first work, flexible hours, and work-life balance. 

  • Inclusive Community: A team committed to diversity, creativity, and making technology accessible. 

In addition to our competitive salary and benefits package, we offer a range of perks and programs designed to help you succeed, including: 

  • Professional development opportunities, including training and mentorship programs 

  • Flexible work arrangements, including remote work options 

  • Access to the latest technologies and tools 

  • Regular social events and team-building activities 

  • A supportive and inclusive work environment 

If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise. 

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Architecture AWS Azure CloudFormation Computer Science DevOps Engineering GCP Generative AI LLMs Machine Learning ML infrastructure MLOps Research Security Terraform

Perks/benefits: Career development Competitive pay Flex hours Startup environment Team events

Region: North America
Country: United States

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