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Remote Contract Reliability Engineer Jobs in Kansas

Autodesk

$89K - $122K/yr

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 ...

Relativity

Advanced Software Engineer

Wichita, KS · On-site +1

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Own production reliability for critical services, including oncall rotations, incident response ...

Harris

... the reliability and effectiveness of our client's operations. Our Outage Management team is ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

Harris

... the reliability and effectiveness of our client's operations. Our Outage Management team is ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

Overstory

Scale models from research to production with a focus on performance, reliability, and ... Strong background in deep learning, computer vision, or remote sensing * Skilled in designing end ...

Relativity

Software Engineer

Wichita, KS · On-site +1

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... from reliability risks, and optimize cost and performance at scale. If you're excited about ...

NinjaOne

Senior Software Engineer, C++

Kansas, KS · On-site +1

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... reliability and performance. Make quality an invariant part of your work and help your fellow ...

Confluent

Senior Software Engineer II

Topeka, KS · On-site +1

$197K - $232K/yr

Remote Department Engineering Compensation: $197.4K - $232K - Offers Equity At Confluent, we are ... Improve service reliability and operations by defining SLOs/SLAs, strengthening observability, and ...

NinjaOne

Data Software Engineer

Kansas, KS · On-site +1

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... reliability, and consistency. * Automation & Optimization: Automate and optimize data workflows to ...

NinjaOne

Senior Data Software Engineer

Kansas, KS · On-site +1

$108K - $142K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... reliability, and consistency. * Automation & Optimization: Automate and optimize data workflows to ...

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Remote Contract Reliability Engineer information

What are Remote Contract Reliability Engineers?

Remote Contract Reliability Engineers are professionals who work remotely, usually on a contract basis, to ensure that systems, equipment, or software operate reliably and efficiently. Their main focus is on analyzing data, troubleshooting issues, and implementing improvements to enhance the dependability and performance of products or processes. They collaborate with teams virtually to identify potential failures, recommend solutions, and help organizations minimize downtime and maintenance costs. Their work spans various industries such as manufacturing, technology, and energy, and typically involves using specialized tools and methodologies to predict and prevent problems before they occur.

What are the key skills and qualifications needed to thrive as a Remote Contract Reliability Engineer, and why are they important?

To thrive as a Remote Contract Reliability Engineer, you need a solid background in reliability engineering, failure analysis, and maintenance planning, often supported by a degree in engineering and relevant industry experience. Familiarity with reliability analysis software (like ReliaSoft), asset management systems, and certifications such as Certified Reliability Engineer (CRE) are typically required. Strong problem-solving, communication, and self-motivation skills are essential for effectively collaborating and delivering results in a remote, contract-based environment. These skills ensure the engineer can optimize system reliability, reduce downtime, and meet client expectations efficiently from a remote location.

How does a Remote Contract Reliability Engineer typically collaborate with on-site teams and stakeholders?

As a Remote Contract Reliability Engineer, you will frequently collaborate with on-site teams through virtual meetings, project management platforms, and real-time data sharing tools. Strong communication skills are essential, as you'll provide recommendations, troubleshoot issues, and review maintenance or performance data remotely. You may also participate in regular status updates and coordinate with cross-functional teams—such as operations, maintenance, and safety—to implement reliability improvements and ensure asset uptime. Successful remote collaboration often relies on proactive communication and clear documentation of your analyses and recommendations.

What is the difference between Remote Contract Reliability Engineer vs Remote Contract Maintenance Technician?

AspectRemote Contract Reliability EngineerRemote Contract Maintenance Technician
CredentialsEngineering degree, certifications like Six Sigma or Reliability EngineeringTechnical diploma or certifications in maintenance or HVAC
Work EnvironmentDesigning reliability strategies, analyzing data remotely, consultingPerforming repairs, inspections, and preventive maintenance remotely or on-site
Employer & Industry UsageManufacturing, energy, aerospace industriesManufacturing plants, facilities management, industrial sectors

The Remote Contract Reliability Engineer focuses on analyzing systems, improving reliability, and providing remote consulting, while the Remote Contract Maintenance Technician handles hands-on repairs and maintenance tasks. Both roles may work remotely or on-site, but their core responsibilities and required skills differ significantly.

What are popular job titles related to Remote Contract Reliability Engineer jobs in Kansas? For Remote Contract Reliability Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Remote Contract Reliability Engineer jobs in Kansas look for? The top searched job categories for Remote Contract Reliability Engineer jobs in Kansas are:
What cities in Kansas are hiring for Remote Contract Reliability Engineer jobs? Cities in Kansas with the most Remote Contract Reliability Engineer job openings:
Remote Contract Reliability Engineer jobs near you
Senior Machine Engineer, ML Systems and Infrastructure

Senior Machine Engineer, ML Systems and Infrastructure

Autodesk

Remote

$89K - $122K/yr

Full-time

Posted 16 days ago

Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

7th of 191 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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