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Remote Director Cloud Infrastructure Engineering Jobs in Arizona

Senior Software Engineer (Remote)

Phoenix, AZ ยท Remote

$121K - $160K/yr

Meet the Team Our software engineering team develops software using Cisco's Design Thinking ... Build and operate scalable cloud-native applications and infrastructure using technologies such as ...

... cloud infrastructure. These solutions are powered by engineering for business advantage ... Role is remote Preferred: * Experience using Microsoft Word, Excel, and PowerPoint * Experience ...

... cloud infrastructure. These solutions are powered by engineering for business advantage ... Role is remote Preferred: * Experience using Microsoft Word, Excel, and PowerPoint * Experience ...

Solutions Engineer

Phoenix, AZ ยท Remote

$60 - $80/hr

Honolulu, HI on-site | remote capability for candidates located at Arizona Industry: Banking ... Strong cloud architecture and engineering knowledge. * Experience with RESTful APIs, OData services ...

Showing results 41-60

Remote Director Cloud Infrastructure Engineering information

What is a remote director cloud infrastructure engineering?

A Remote Director of Cloud Infrastructure Engineering is a senior-level professional responsible for leading teams that design, implement, and manage cloud infrastructure solutions for an organization, all while working remotely. This role oversees cloud architecture, ensures system reliability, security, and scalability, and often collaborates with other IT and business leaders to align cloud strategies with company goals. The director is also responsible for team leadership, budgeting, and staying updated with the latest cloud technologies and best practices.

What are the key skills and qualifications needed to thrive as a remote director cloud infrastructure engineering?

To excel as a Remote Director Cloud Infrastructure Engineering, you need deep expertise in cloud architecture, infrastructure management, and leadership, typically supported by a degree in computer science or engineering and significant experience in cloud environments. Familiarity with platforms like AWS, Azure, or Google Cloud, as well as certifications such as AWS Certified Solutions Architect or similar, are commonly required. Exceptional communication, strategic thinking, and team leadership skills distinguish top performers in this role. These abilities are critical for ensuring secure, scalable, and efficient cloud solutions while effectively leading distributed engineering teams.

How does a remote director cloud infrastructure engineering typically collaborate with cross-functional teams to implement large-scale cloud solutions?

A Remote Director of Cloud Infrastructure Engineering regularly works with cross-functional teams, including software developers, security engineers, product managers, and executive leadership. They coordinate project requirements, align cloud strategies with business goals, and ensure seamless integration of cloud services. Effective virtual communication, clear documentation, and structured project management practices are crucial to fostering collaboration and driving successful outcomes in a remote environment. This role often involves leading technical reviews, setting architectural standards, and resolving complex technical challenges across distributed teams.

What are popular job titles related to Remote Director Cloud Infrastructure Engineering jobs in Arizona?

For Remote Director Cloud Infrastructure Engineering jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Remote Director Cloud Infrastructure Engineering jobs in Arizona look for?

The top searched job categories for Remote Director Cloud Infrastructure Engineering jobs in Arizona are:

What cities in Arizona are hiring for Remote Director Cloud Infrastructure Engineering jobs?

Cities in Arizona with the most Remote Director Cloud Infrastructure Engineering job openings:

Senior / Staff Machine Learning Infrastructure Engineer

Waabi

Phoenix, AZ โ€ข On-site, Remote

$157K - $234K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 21 days ago


Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
 
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

You will..
- Design, develop, and implement the machine learning platform for the continuous deployment and integration of machine learning models.
- Collaborate with data scientists and engineers to understand model requirements and optimize pipeline processes.
- Automate the training, testing and deployment processes for machine learning models.
- Continuously monitor and maintain model pipelines, ensuring optimal performance, accuracy and reliability.
- Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.
- Ensure compliance with security and data privacy standards in all MLOps activities.
 
Qualifications:
- 3-5 years of experience supporting machine learning training platforms.
- Bachelor’s degree in Computer Science, Data Science or a related field.
- Strong understanding of machine learning principles and model lifecycle management.
- Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow or PyTorch.
- Experience with cloud platforms like AWS, Azure, or Google Cloud and their respective machine learning services.
- Experience managing technology such as JupyterHub and Kubeflow.
- Familiarity with containerization and orchestration tools such as Kubernetes and Docker.
- Strong problem-solving skills and ability to troubleshoot complex issues.
- Experience with monitoring tools and practices for model performance in production.
- Ability to work collaboratively in cross-functional teams.
 
Bonus/nice to have: 
- Experience with infrastructure-as-code (IaC) tools such as Terraform or Crossplane.
- Knowledge of big data technologies like Apache Spark or Hadoop.
- Familiarity with data engineering practices and tools.
- Experience with A/B testing and model validation in production environments.
- Relevant MLOps certifications (e.g., AWS Certified Machine Learning – Specialty, DataRobot MLOps Certification) are a plus.
The US yearly salary range for this role is: $157,000 - $234,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
  • Competitive compensation and equity awards.
  • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
  • Unlimited Vacation.
  • Flexible hours and Work from Home support.
  • Daily drinks, snacks and catered meals (when in office).
  • Regularly scheduled team building activities and social events both on-site, off-site & virtually.
  • As we grow, this list continues to evolve! 
 
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
 
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.