Principal CloudOps Engineer - Dublin, CA

About us:

At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same.

Job Description:

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. 

Responsibilities: 

• 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. 

Professional Attributes:

• Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence.

• Collaboration and Communication: proficiency in working cross-functionally—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives.

• Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals.

• Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results.

• Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base.

• Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions.

What We Offer:

By joining our team, you become part of a community that embraces diversity, i