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Remote Azure Cloud Engineer Jobs in Nevada (NOW HIRING)

Echo Global Logistics

Sr. Software Engineer

Reno, NV · On-site +1

$122K - $161K/yr

As a Senior Software Engineer, you will be a technical leader who architects and delivers complex, cloud-native solutions that advance our platform transformation. You will drive the adoption of ...

Link Technologies

Senior Database Engineer

Las Vegas, NV · Remote

$101K - $137K/yr

... cloud environments, preferably AWS, with strong expertise in managing databases like AWS RDS ... Advanced knowledge of Linux operating systems and capable of using SSH to access remote systems ...

OPENLANE

Senior Software Engineer

Reno, NV · On-site +1

$122K - $161K/yr

We are searching for a talented Sr. Software Engineer to join the OPENLANE software engineering ... Experience with cloud technologies such as AWS * Understanding of microservices architecture and ...

TensorWave

Senior Machine Learning Engineer

Las Vegas, NV · On-site +1

$117K - $154K/yr

We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders ... About the Role We're looking for a Senior Machine Learning Engineer to join our team during an ...

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Remote Azure Cloud Engineer information

What is a remote Azure cloud engineer?

A Remote Azure Cloud Engineer is an IT professional who designs, implements, and manages cloud-based solutions using Microsoft Azure, while working remotely from any location. Their responsibilities typically include deploying virtual machines, configuring cloud services, ensuring security and compliance, and troubleshooting technical issues related to Azure infrastructure. They collaborate with development and operations teams to support cloud-based applications and may also be involved in automation, monitoring, and optimizing cloud resources. Strong knowledge of Azure services, networking, and cloud security is essential for this role.

What are the key skills and qualifications needed to thrive as a remote Azure cloud engineer, and why are they important?

To thrive as a Remote Azure Cloud Engineer, you need strong expertise in cloud computing, Azure services, infrastructure as code, and a relevant degree or certifications such as Microsoft Certified: Azure Solutions Architect or Azure Administrator. Proficiency with tools like Azure DevOps, ARM templates, PowerShell, and monitoring systems is typically required. Outstanding problem-solving, communication, and self-management skills are crucial for collaborating across distributed teams and addressing technical challenges remotely. These skills ensure secure, efficient cloud solutions and effective teamwork in a remote work environment.

What are some common challenges faced by remote Azure cloud engineers, and how can they be addressed?

Remote Azure Cloud Engineers often encounter challenges such as managing secure access to cloud resources, staying updated with rapidly evolving Azure services, and ensuring effective communication with distributed teams. To address these, it's important to use secure VPNs and Azure security best practices, allocate regular time for professional development, and leverage collaboration tools like Microsoft Teams or Slack. Proactive documentation and clear workflows also help maintain alignment with colleagues and ensure project success.

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The most popular types of Azure Cloud Engineer jobs in Nevada are:

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For Remote Azure Cloud Engineer jobs in Nevada, the most frequently searched job titles are:

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The top searched job categories for Remote Azure Cloud Engineer jobs in Nevada are:

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Remote Azure Cloud Engineer jobs near you

Software Engineer, ML Dev Enablement

Motional

Las Vegas, NV • On-site, Remote

$123K - $163K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 23 days ago

Job description

Mission Summary:
We are looking for a Software Engineer to join our ML Infrastructure: Dev Enablement Team. Our mission is to build a frictionless development environment that empowers our researchers and engineers to rapidly innovate on deep learning models for autonomous driving.
We manage a high-scale Cloud Development Environment (CDE) platform that provides standardized, high-performance workspaces for ML development. As we evolve, in this role, you'll spearhead high-impact initiatives: designing multi-cloud setups to maximize GPU availability, driving deep-level model optimization, and building next-generation Agentic AI toolings. You will play a pivotal role in ensuring our training ecosystem remains cutting-edge, resilient and highly efficient.
What You'll Be Doing:
  • Build Agentic AI Tooling: Design, develop, and enhance Agentic AI tools and systems to automate workflows, streamline the ML lifecycle, and empower developer productivity.
  • Scale Core Infrastructure: Drive the continuous development of our core ML infrastructure and existing CDE platform, leveraging Kubernetes to build robust, high-scale distributed solutions.
  • System-Level ML Optimization: Partner closely with ML Researchers to profile and optimize distributed training jobs (PyTorch/DDP) and data pipelines. Focus on resolving system-level bottlenecks-such as data loading (I/O), memory management, and network communication overhead-to maximize GPU utilization and training throughput.
  • Collaborate Cross-Functionally: Partner with ML engineers and data scientists to understand their complex needs, bridging the gap between underlying infrastructure and model development.

What We're Looking For:
  • BS or MS in Computer Science or related field
  • Strong knowledge of software engineering principles and distributed systems.
  • Strong proficiency with Python or Go or C++
  • Experience with building on AWS services or other Cloud platforms and container orchestration using Kubernetes.
  • Experience with the various stages of the ML development lifecycle
Bonus Points:
  • Hands-on experience with ML model profiling and performance optimization for distributed training.
  • Experience managing or working with high-performance compute resources (GPUs).
  • Experience with ML frameworks such as PyTorch or Ray.
  • Experience building, integrating, or enhancing Agentic AI systems and LLM-driven developer tools.

We encourage a hybrid schedule with in-office time at our Las Vegas location to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Salary Range
$123,000-$163,500 USD
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

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