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Remote Ai Infrastructure Engineer Jobs in Missouri

Jobgether

$83K - $108K/yr

Working in a fully remote global environment, you will guide teams through complex infrastructure ... Establish effective approaches for using AI in infrastructure operations, including automation ...

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... infrastructure feasibility for high-density AI workloads. You will collaborate with ... Flexible remote working environment with strong ownership and autonomy. * Career development ...

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Fully remote work environment with flexibility and autonomy. * Opportunity to work on cutting-edge AI infrastructure and solve complex engineering challenges. * Direct impact on the development of an ...

Jobgether

$80 - $150/hr

This is an opportunity to contribute your engineering knowledge to the development of next ... Fully remote freelance opportunity with flexible working arrangements. * Opportunity to contribute ...

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Experience supporting hyperscale data center, AI infrastructure, or large-scale technology ... Flexible remote-first working environment with ownership and autonomy. * Career growth ...

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Flexible and remote-first working environment. * Opportunity to contribute to impactful AI infrastructure projects. * Career growth opportunities with exposure to complex engineering challenges.

Jobgether

$79K - $104K/yr

... infrastructure that empowers non-technical users. From GPU environments and automated quality ... Fully remote work environment with flexibility to work from anywhere. * Generous paid vacation ...

Jobgether

$85K - $116K/yr

... AI infrastructure and platforms. Acting as a central point of collaboration across engineering ... Flexible remote working environment with a high level of autonomy and ownership. * Collaborative ...

Jobgether

$44 - $58.50/hr

This role offers the opportunity to build and operate the infrastructure powering advanced AI ... Benefits: * Fully remote working environment with the flexibility to work from wherever you are ...

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This role offers the opportunity to build and evolve the infrastructure powering advanced AI ... Fully remote work environment with flexibility across Europe. * Opportunity to work on advanced AI ...

Jobgether

... of next-generation AI infrastructure. In this role, you will lead technical due diligence ... You will work across engineering, development, legal, finance, and external partners to evaluate ...

Jobgether

$99K - $128K/yr

... AI and high-performance cloud infrastructure. Working at the intersection of hardware, software ... Flexible remote working options within Europe, with access to modern international office locations.

Jobgether

$80K - $110K/yr

This role offers the opportunity to build and scale the infrastructure powering next-generation AI ... Excellent organizational, communication, and collaboration skills in a remote and international ...

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Remote Ai Infrastructure Engineer information

What are the key skills and qualifications needed to thrive as a remote AI infrastructure engineer?

To thrive as a Remote AI Infrastructure Engineer, you need expertise in cloud computing, distributed systems, and software engineering, often supported by a degree in computer science or a related field. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud platforms such as AWS, Azure, or GCP is typically required, along with knowledge of CI/CD pipelines and AI/ML frameworks. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in this role. These skills ensure robust, scalable AI infrastructure that supports rapid innovation and seamless collaboration across distributed teams.

What is a remote AI infrastructure engineer?

A Remote AI Infrastructure Engineer is a professional who designs, builds, and maintains the systems and tools necessary to support artificial intelligence (AI) projects, all while working remotely. Their responsibilities often include developing and optimizing cloud or on-premise infrastructure, ensuring scalability, managing data pipelines, and supporting machine learning workflows. They work closely with data scientists and software engineers to ensure AI models can be efficiently trained, deployed, and monitored in production environments. The remote aspect allows them to perform these tasks from anywhere, using collaboration tools and cloud platforms.

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

Remote AI Infrastructure Engineers often encounter challenges such as managing distributed systems, ensuring robust data pipelines, and maintaining high system reliability across different time zones. Collaboration with cross-functional teams can require clear communication and effective use of remote tools. To address these challenges, it's important to establish strong documentation practices, schedule regular check-ins, and utilize automated monitoring and deployment solutions. Staying proactive and adaptable helps ensure seamless infrastructure performance and team alignment.
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Remote Ai Infrastructure Engineer jobs near you

GCP Infrastructure Automation Engineer - Remote

micro1 AI

Kansas City, MO • Remote

$20 - $300/hr

Part-time

Medical, Retirement, PTO

Posted 21 days ago

Job description

GCP DevOps Engineer


Job Type: Full-time


Location: Remote - US


Job Summary:

Join our team as a GCP DevOps Engineer and play a crucial role in designing, building, and maintaining modern cloud infrastructure solutions. You will collaborate closely with talented engineers and stakeholders to deliver scalable, reliable, and secure environments on Google Cloud Platform (GCP). We are seeking a proactive professional with a passion for infrastructure automation and a strong commitment to clear, effective communication.


Key Responsibilities:

• Design, implement, and manage scalable cloud infrastructure solutions on GCP.

• Automate deployment, monitoring, and management processes using industry-leading DevOps practices.

• Administer and optimize Kubernetes clusters for maximum reliability and performance.

• Collaborate with development teams to streamline CI/CD pipelines and refine workflows.

• Ensure the security and compliance of cloud environments by applying best practices.

• Proactively identify and resolve infrastructure bottlenecks and incidents.

• Document solutions and processes with a focus on clarity and thoroughness to support team knowledge sharing.


Required Skills and Qualifications:

• Strong hands-on experience with Google Cloud Platform (GCP).

• Deep expertise in implementing and operating cloud infrastructure in production settings.

• Proficiency with Kubernetes administration and orchestration.

• Solid understanding of DevOps methodologies, tools, and best practices.

• Experience building and maintaining CI/CD pipelines.

• Competence with infrastructure-as-code tools (e.g., Terraform, Deployment Manager).

• Excellent written and verbal communication skills; ability to convey complex concepts clearly.


Preferred Qualifications:

• GCP certifications such as Associate Cloud Engineer or Professional DevOps Engineer.

• Experience with hybrid or multi-cloud environments.

• Familiarity with security best practices and compliance standards relevant to cloud-native architectures.


Compensation & Benefits Notice


The national pay range for this full-time position is base salary of $160,000-$220,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.


micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.


Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.


Disclaimer


The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

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