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Remote Ai Infrastructure Engineer Jobs in Renton, WA

Databricks

Senior Software Engineer - Backend

Bellevue, WA · On-site +1

$138K - $182K/yr

We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer ...

Meta

Software Engineer, Infrastructure

Burlingame, CA · On-site +1

$183K/yr

Software Engineer, Infrastructure Responsibilities: * Collaborate with cross-functional teams ... Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ...

Meta

Software Engineer, Infrastructure

Redmond, WA · On-site +1

$183K/yr

Software Engineer, Infrastructure Responsibilities: * Collaborate with cross-functional teams ... Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ...

Meta

Software Engineer, Infrastructure

Menlo Park, CA · On-site +1

$183K/yr

Software Engineer, Infrastructure Responsibilities: * Collaborate with cross-functional teams ... Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ...

Atlassian

Principal Engineer

Seattle, WA · On-site +1

Develop horizontal AI capabilities and infrastructure that can be leveraged across all products ... About This Role As a Principal Engineer on the AI & ML Platform team, you will play a pivotal role ...

Atlassian

Principal Engineer

Seattle, WA · On-site +1

Develop horizontal AI capabilities and infrastructure that can be leveraged across all products ... About This Role As a Principal Engineer on the AI & ML Platform team, you will play a pivotal role ...

Atlassian

Principal Engineer

Seattle, WA · On-site +1

Develop horizontal AI capabilities and infrastructure that can be leveraged across all products ... About This Role As a Principal Engineer on the AI & ML Platform team, you will play a pivotal role ...

Amazon

Sr. Software Dev Engineer, Healthcare AI

Seattle, WA · On-site +1

$139K - $183K/yr

We're building next-generation services that combine Amazon's world-class AI infrastructure with ... As a Senior Software Development Engineer in the AWS Healthcare AI team, you'll spearhead the ...

Amazon

Sr. Software Dev Engineer, Healthcare AI

Seattle, WA · On-site +1

$139K - $183K/yr

We're building next-generation services that combine Amazon's world-class AI infrastructure with ... As a Senior Software Development Engineer in the AWS Healthcare AI team, you'll spearhead the ...

YO AI Labs

Senior Software Engineer - Remote

Seattle, WA · Remote

$139K - $183K/yr

No prior experience in AI is required -- your domain knowledge is what matters. We are seeking ... advanced engineering skills in a dynamic, remote setting. Required Skills and Qualifications:

Brex

AI Engineer, Ecosystem

Seattle, WA · On-site +1

$171K - $240K/yr

By deeply integrating proprietary financial data with product and platform infrastructure, we're ... As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Own Brex ...

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All JobsAi Infrastructure Engineer JobsRemote Ai Infrastructure Engineer JobsRemote Ai Infrastructure Engineer Jobs in Renton, WA

Remote Ai Infrastructure Engineer information

See Renton, WA salary details

$52.3K

$142.9K

$204.7K

How much do remote ai infrastructure engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote ai infrastructure engineer in Renton, WA is $142,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,900.00 and $158,600.00 per year, depending on experience, location, and employer.

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.

What job categories do people searching Remote Ai Infrastructure Engineer jobs in Renton, WA look for?

The top searched job categories for Remote Ai Infrastructure Engineer jobs in Renton, WA are:

What cities near Renton, WA are hiring for Remote Ai Infrastructure Engineer jobs?

Cities near Renton, WA with the most Remote Ai Infrastructure Engineer job openings:

Remote Ai Infrastructure Engineer jobs near you

Senior Software Engineer - Backend

Databricks

Bellevue, WA • On-site, Remote

$138K - $182K/yr

Full-time

Re-posted 21 days ago

Job description

P-939

(Position Location is open to both our Seattle & Bellevue offices.)

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

The impact you'll have: 

As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. Our backend teams span many domains, from OS/container systems, to serverless infrastructure, to partner integration, and to machine learning infrastructure.

Below are some example projects and the 

  • Serverless platform: Build Databricks serverless platform that powers the big data, machine learning and Gen AI workloads. Automatically improve the performance and efficiency of workloads running on the platform while also ensuring they scale to millions of machines across a multi-cloud environment.
  • Core cloud platform: Build cutting-edge OS, container and networking technologies that power the entire Databricks infrastructure, from internal infrastructure, to serverful, and to serverless platform. Improve the security, efficiency and reliability across the fleet.
  • Partner ecosystem:  Build and grow a partner ecosystem for Databricks SQL. Build and offer a variety of toolkits to support partners and customers' deep and seamless integrations with Databricks. Maintain and nurture productive and beneficial partnerships within the ecosystem. 
  • Notebook dataplane: Build multi-language multi-user collaborative REPL experience for Databricks users with high level of reliability and responsiveness, with a focus on Data Science and AI/ML authoring and experimentation experiences in notebooks.
  • Application platform. Build tools, frameworks and platforms to allow Databricks engineers to build, deploy and operate services with "batteries included". Improve the scale, observability and safety of all Databricks services across different clouds while improving every engineer's developer experience.  

What we look for:

    • BS (or higher) in Computer Science, or a related field
    • 5+ years of production level experience in one of: Java, Scala, Golang, C++, or similar language
    • Experience developing large-scale distributed systems
    • Experience working on a SaaS platform or with Service-Oriented Architectures
    • Experience with cloud technologies, e.g. AWS, Azure, GCP, or Kubernetes
    • Experience with security and systems that handle sensitive data

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