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Remote Engine Performance Engineer Jobs in Chicago, IL

Good communication skills and work ethic for a remote workplace. * An interest in low-level optimization and performance engineering. * An interest in financial data or algorithmic trading. Notice ...

Our mission is to be the engine of innovation for genomic medicine pioneers . As a member of our ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

DevOps Engineer

Chicago, IL · Remote

$54 - $74/hr

We are developing WalkMe's revolutionary runtime engine and transforming the online experience for ... Help implement and maintain observability solutions for monitoring system performance and ...

Our mission is to be the engine of innovation for genomic medicine pioneers . As a member of our ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

... engine - grounded in a commercial insurance ontology -ensuring complete data and smarter decisions ... Contribute to CI/CD, testing, and performance monitoring to ensure the stability and reliability of ...

... engine grounded in a commercial insurance ontology ensuring complete data and smarter decisions ... Contribute to CI/CD, testing, and performance monitoring to ensure the stability and reliability of ...

... engine - grounded in a commercial insurance ontology - ensuring complete data and smarter decisions ... Contribute to CI/CD, testing, and performance monitoring to ensure the stability and reliability of ...

Showing results 21-40

Remote Engine Performance Engineer information

See Chicago, IL salary details

$11

$61

$101

How much do remote engine performance engineer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for remote engine performance engineer in Chicago, IL is $61.92, according to ZipRecruiter salary data. Most workers in this role earn between $50.77 and $70.10 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote engine performance engineer?

To thrive as a Remote Engine Performance Engineer, you need a strong background in mechanical or automotive engineering, with expertise in engine systems and performance analysis, often supported by a relevant degree. Proficiency with diagnostic software, data acquisition tools, and simulation platforms such as MATLAB or AVL is typically required. Analytical thinking, effective communication, and problem-solving skills are crucial for collaborating remotely and delivering actionable insights. These skills ensure accurate performance optimization and reliable support for engine operations in distributed work environments.

What is a remote engine performance engineer?

A Remote Engine Performance Engineer is a professional who evaluates, monitors, and optimizes the performance of engines (such as those in automobiles, aircraft, or industrial equipment) from a remote location. They use specialized software and data analysis tools to assess engine efficiency, diagnose issues, and recommend improvements without being physically present with the machinery. This role often involves collaborating with on-site engineers, interpreting telemetry data, and providing guidance to enhance engine reliability and output. Remote Engine Performance Engineers are employed in industries like automotive, aerospace, and energy, where remote diagnostics and performance optimization are crucial.

How does a remote engine performance engineer typically collaborate with on-site teams to optimize engine performance?

As a Remote Engine Performance Engineer, collaboration with on-site teams is crucial for effective diagnostics and optimization. This is usually achieved through regular virtual meetings, sharing real-time data, and utilizing collaborative platforms to review test results and performance metrics. Engineers often work closely with test technicians, design engineers, and project managers to analyze issues, recommend adjustments, and implement improvements. Clear communication and timely feedback are key to ensuring seamless coordination despite the physical distance.

What is the difference between Remote Engine Performance Engineer vs Remote Powertrain Engineer?

AspectRemote Engine Performance EngineerRemote Powertrain Engineer
Required CredentialsBachelor's in Mechanical or Automotive Engineering, relevant certificationsBachelor's in Mechanical, Automotive, or Electrical Engineering, relevant certifications
Work EnvironmentAutomotive companies, OEMs, R&D labs, remote collaborationAutomotive manufacturers, suppliers, R&D, remote teams
Industry UsageFocuses on engine-specific performance optimizationEncompasses engine, transmission, and hybrid system performance
Search & Comparison IntentPeople comparing engine-specific rolesRoles involving entire powertrain systems

The Remote Engine Performance Engineer specializes in optimizing engine performance, focusing on combustion, efficiency, and emissions. In contrast, the Remote Powertrain Engineer works on the entire powertrain system, including engines, transmissions, and hybrid components. Both roles require similar technical backgrounds and are used in automotive R&D, but they differ in scope and focus.

GCP Cloud Platform Engineer (Remote)

Ontrac Solutions

Chicago, IL • Remote

$60 - $80/hr

Full-time

Re-posted 11 days ago


Job description

About Ontrac Solutions

Ontrac Solutions is a leading technology consulting firm, specializing in cutting-edge solutions that drive business transformation. We partner with organizations to modernize their infrastructure, streamline processes, and deliver tangible results. By creating value beyond the hype, we help businesses modernize technology and build new strategies that fuel growth. Our team is committed to innovation, collaboration, and excellence, empowering our clients to succeed in an evolving digital landscape.

The Role

We are seeking an experienced GCP Cloud Platform Engineer to support our client on a critical cloud infrastructure initiative. This role is ideal for a hands-on engineer with strong migration experience who can work independently to build, manage, and optimize production-ready infrastructure in Google Cloud Platform.

The ideal candidate will bring a strong foundation in GCP infrastructure, cloud migrations, Linux, networking, and Infrastructure as Code. You will work closely with internal engineering teams and client stakeholders to support projects from initial definition through final delivery, ensuring scalable, secure, and reliable cloud environments.

Key Responsibilities

Cloud Infrastructure Delivery: Build and manage GCP infrastructure across core services including Compute, networking, IAM, storage, and GKE.

Migration Execution: Support and execute migrations from on-premises or multi-cloud environments into GCP, including lift-and-shift and replatforming strategies.

Infrastructure as Code: Implement and maintain infrastructure using Terraform to ensure repeatable, scalable, and production-ready deployments.

Performance & Cost Optimization: Troubleshoot infrastructure and application performance issues while identifying opportunities to improve reliability, efficiency, and cloud cost management.

Cross-Functional Collaboration: Partner with engineering, DevOps, and client stakeholders to ensure successful delivery across the full project lifecycle.

What We Are Looking ForExperience

Cloud Infrastructure / DevOps: 36 years of experience in cloud infrastructure, platform engineering, or DevOps.

GCP Expertise: Proven hands-on experience working with GCP in production environments, with a strong understanding of Compute Engine, VPC, IAM, and storage.

Migration Experience: Experience executing cloud migrations from on-premises or multi-cloud environments into GCP.

Independent Execution: Ability to work independently in a contract or client-facing delivery environment.

Technical Skills

Infrastructure as Code: Strong experience with Terraform preferred.

Containers & Kubernetes: Exposure to Docker and Kubernetes, including GKE, is highly valuable.

Linux & Networking: Solid Linux systems knowledge and strong networking fundamentals.

Automation & Scripting: Experience with CI/CD pipelines, infrastructure automation, and scripting in Python or Bash.

Monitoring & Optimization: Familiarity with monitoring, logging, and cloud cost optimization best practices.

Hybrid / Multi-Cloud Exposure: Experience working across hybrid or multi-cloud environments is a plus.

Required Credentials

GCP Certification: Relevant Google Cloud certification required.

Production GCP Experience: Demonstrated experience working with GCP in live production environments.

What We Offer

Competitive Compensation: Compensation will be commensurate with experience.

Our Commitment to Diversity and Inclusion

At Ontrac Solutions, diversity is at the core of our success. We are committed to fostering an inclusive environment where employees feel valued and empowered to bring their unique perspectives. We are proud to be an equal-opportunity employer and encourage applicants from all backgrounds to apply.

How to Apply

Please submit your resume and our hiring team will be in touch.

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Applicants who complete verification are prioritized over non-verified candidates with comparable experience. And if you're hired, Ontrac reimburses the full cost of your verification.
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