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Remote Infrastructure Engineer Jobs in Mount Vernon, OH

Deloitte

Databricks Engineer

Columbus, OH · On-site +1

Support platform configuration, infrastructure setup, testing, and deployment readiness across ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Huntington

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$55 - $73.25/hr

Monitor the health, availability, and performance of AI-enabled applications and infrastructure ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Digital - Principal SRE

Columbus, OH · On-site +1

$55 - $73.25/hr

Monitor the health, availability, and performance of AI-enabled applications and infrastructure ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

FindTalent

Substation Commissioning Engineer

Columbus, OH · Remote

$95.10K - $121.20K/yr

FindTalent is hiring a highly skilled Substation Commissioning Engineer to support critical utility infrastructure projects across the U.S. This remote-based role is ideal for a technically ...

Deloitte

GCP Engineer

Columbus, OH · On-site +1

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ... infrastructure. The practice helps clients modernize technology and data platforms and apply ...

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$38.8K

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How much do remote infrastructure engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for remote infrastructure engineer in Mount Vernon, OH is $105,945.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,600.00 and $117,600.00 per year, depending on experience, location, and employer.

What is a Remote Infrastructure Engineer job?

A Remote Infrastructure Engineer is responsible for designing, managing, and maintaining an organization's IT infrastructure, including servers, networks, cloud environments, and security systems, while working remotely. They ensure system reliability, optimize performance, troubleshoot issues, and implement new technologies to support business operations. This role requires expertise in networking, cloud computing, automation, and cybersecurity, often working with tools like AWS, Azure, VMware, and monitoring systems. Effective communication and problem-solving skills are essential, as they collaborate with teams to resolve technical challenges.

What are the key skills and qualifications needed to thrive in the Remote Infrastructure Engineer position, and why are they important?

To thrive as a Remote Infrastructure Engineer, you need a strong background in network administration, cloud computing, and server management, often paired with a degree in computer science or related field. Familiarity with tools like AWS, Azure, Docker, Kubernetes, and certifications such as AWS Certified Solutions Architect or CompTIA Network+ are typically expected. Excellent problem-solving abilities, proactive communication, and strong organizational skills help you manage tasks independently and collaborate across dispersed teams. These capabilities are crucial for maintaining reliable, secure infrastructure and supporting seamless remote operations for organizations.

What are the typical daily tasks of a Remote Infrastructure Engineer?

As a Remote Infrastructure Engineer, your daily responsibilities generally include monitoring system performance, deploying updates and patches, managing cloud resources, and troubleshooting network or server issues. You'll often work closely with development and security teams to ensure optimal infrastructure performance, automate routine processes, and uphold security standards. Collaboration through project management platforms and remote communication tools is common to keep the team aligned. The role frequently involves both scheduled maintenance and responding to urgent incidents, offering a dynamic and impactful work environment.
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Remote Infrastructure Engineer jobs near you
Senior Machine Engineer, ML Systems and Infrastructure

Senior Machine Engineer, ML Systems and Infrastructure

Autodesk

Delaware, OH • Remote

$99.20K - $135.70K/yr

Full-time

Posted 21 days ago

Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 184 rated software companies

Job description

Job Requisition ID #

26WD98118

POSITION OVERVIEW

The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter.

Autodesk is seeking a Senior ML Engineer, ML Systems and Infrastructure to design and scale the systems that enable machine learning across research and product development. You will help build the infrastructure behind large-scale data pipelines, distributed training systems, evaluation frameworks, and production ML workflows that support foundation models and ML-powered product features.

This role is ideal for an engineer who is deeply interested in scalable systems and production-grade ML infrastructure. You will operate independently across multiple parts of the stack and help define strong engineering practices for reliability, performance, and maintainability.

This role is fully remote-friendly, with team members distributed across the US and Canada.

Location: US or Canada Remote, East Coast

RESPONSIBILITIES

  • Design and build scalable systems for ML training, evaluation, deployment, and monitoring

  • Develop and improve data pipelines that process large-scale structured and semi-structured technical datasets

  • Optimize distributed workflows for performance, reliability, resource utilization, and cost efficiency

  • Build platform capabilities such as experiment tracking, model versioning, checkpointing, reproducibility, and observability

  • Contribute to model deployment, inference services, and production monitoring workflows

  • Improve data quality, lineage, provenance, and operational transparency across ML pipelines

  • Contribute to architecture and design discussions across the team

  • Identify and resolve bottlenecks in data, compute, orchestration, and observability layers

  • Mentor engineers through code reviews, design guidance, and knowledge sharing

  • Collaborate closely with researchers, product engineers, and platform partners to turn ML workflows into robust engineering systems

MINIMUM QUALIFICATIONS

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent industry experience

  • At least 3 to 4 years of industry experience building and operating production software, ML systems, distributed infrastructure, or large-scale data pipelines

  • Strong experience in software engineering, distributed systems, backend systems, or ML infrastructure

  • Strong proficiency in Python and experience delivering production-quality systems

  • Experience designing and operating scalable data or compute pipelines

  • Experience with cloud platforms such as AWS, Azure, or GCP

  • Familiarity with containers, CI/CD, observability, and release quality practices

  • Ability to independently drive technical execution on complex work with limited oversight

PREFERRED QUALIFICATIONS

  • Experience building data pipelines for large-scale structured and semi-structured technical datasets

  • Experience with data lineage, provenance, governance, and responsible data usage in ML systems

  • Experience with distributed data processing and orchestration systems such as Ray, Airflow, Spark, or similar platforms

  • Experience with model deployment, inference services, monitoring, and observability for production ML systems

  • Experience building ML-ready representations for geometry, graph, hierarchical, or multimodal data

  • Experience with distributed ML frameworks such as PyTorch, Lightning, DeepSpeed, FSDP, Megatron, or similar

  • Familiarity with AEC workflows, design data, BIM/CAD formats, or Autodesk products

THE IDEAL CANDIDATE

  • Thinks like a systems engineer and executes like a strong software developer

  • Can balance short-term delivery with long-term platform health

  • Brings strong technical judgment and ownership

  • Improves team effectiveness through mentoring and engineering rigor

  • Enjoys solving scaling, performance, and reliability challenges

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers.
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About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982

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