Principal CloudOps Engineer (Dublin, CA)

About Us: 

Welcome to Articul8 AI, where innovation meets passion and excellence is our North Star. We're a trailblazing team of visionary thinkers, driven by a relentless pursuit of perfection and a desire to revolutionize the AI landscape. With a customer-obsessed mindset, we craft cutting-edge products that shatter expectations and push the boundaries of what's possible. At Articul8 AI, we're not just building a business - we're on a mission to empower, inspire, and make a lasting impact on the world, one innovation at a time.

Job Description: 

Articul8 AI is seeking an experienced Lead cloud engineer who has expertise in the strategy, design, development, and implementation of large-scale projects in the cloud. The ideal candidate will have a firm grasp of Gen AI/ML technologies, cloud platforms, and applications and an ability to customize them to help our business become more secure and efficient. Extensive knowledge of cloud maintenance, experience in managing Gen AI workloads, and advanced industry knowledge are essential to keep us on the cutting edge. 

Responsibilities: 

• Serve as a technical lead, architecting and designing complex cloud native and cloud agnostic-based infrastructure for building and scaling our enterprise GenAI platform.  

• Collaborate with product managers, applied research, customer success and technology teams contributing to roadmap planning and technology evaluations.  

• Passionate about data, cloud infrastructure challenges at scale. 

• Be a hands-on engineer who delivers solutions that set the example for rapid innovation, engineering excellence, from architecture to algorithms to implementations 

• Mentor and develop engineers, help define and grow the technical culture, and assist in attracting and retaining engineering talent 

• Rotating responsibilities for on-call when required 

• At the direction of the technology team, develop and implement technical efforts to design, build, and deploy AWS (GCP or Azure) applications, including large-scale structured and unstructured data processing, computationally intensive statistical modeling, and Large Language Models. 

• Participate in all aspects of the software development lifecycle for cloud solutions, including planning, requirements, development, testing, and quality assurance. 

• Troubleshoot incidents, identify root causes, fix and document problems, and implement preventive measures 

• Educate teams on the implementation of new cloud-based initiatives, providing associated training when necessary 

• Demonstrate exceptional problem-solving skills, with an ability to see and solve issues before they affect business productivity 

Required Qualifications: 

A proven track record as a technical leader in developing scalable, maintainable, and high-performance cloud-native applications. Hands-on involvement in the architecture, development, and deployment of reliable cloud applications.  

• Eight or more years of experience in architecting, designing, developing, and implementing cloud solutions on any one of the cloud platforms (AWS/GCP/Azure) 

• Experience in several of the following areas: database architecture, ETL, artificial intelligence, big data, machine learning 

• Understanding of and experience with the five pillars of a well-architected framework 

• Proven ability to collaborate with multidisciplinary teams of product managers, software developers, applied researchers, data scientists and subject-matter experts 

• Education Experience: Bachelor’s degree in computer science, Computer Engineering, or relevant technical field, or equivalent practical experience.

Preferred Qualifications: 

• Bachelor’s degree (or equivalent) in computer science, information technology, or mathematics 

• Knowledge of web services, API, REST, and RPC 

• AWS (or GCP/Azure) certification 

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 within cross-functional teams—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives.

• Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and