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Engineering Assistant Jobs in Mount Prospect, IL

CNA

Senior AI Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

... engineering performance. * Champion adoption of AI coding assistants (Claude Code, Cursor, GitHub Copilot) in an AI-native SDLC; build the guardrails, prompt patterns, and developer workflows that ...

Cna

Senior AI Software Engineer

Chicago, IL

$126K - $166K/yr

... engineering performance. * Champion adoption of AI coding assistants (Claude Code, Cursor, GitHub Copilot) in an AI-native SDLC; build the guardrails, prompt patterns, and developer workflows that ...

Orvix Engineering

Data Entry Assistant

Chicago, IL · On-site

$18 - $27/hr

We are looking for a reliable and detail-oriented Data Entry Assistant to join our growing team at Orvix Engineering . The Data Entry Assistant will be responsible for accurately entering, updating ...

Cna

Senior AI Software Engineer

Chicago, IL · Hybrid

$72K - $141K/yr

At CNA, we strive to create a culture in which people know they matter and are part of something ... This role combines hands-on engineering, architecture, and governance, ensuring AI solutions are ...

Cna

Senior Software Engineer, AI/ML

Chicago, IL · Hybrid

$72K - $141K/yr

At CNA, we strive to create a culture in which people know they matter and are part of something ... Expertisein Prompt Engineering Best Practices Hands-on experience with: * Google Agent Development ...

HHM Hotels

Assistant Engineer

Schaumburg, IL · On-site

$18 - $20/hr

Potential Career Path Assistant Chief Engineer - Chief Engineer ... Engineering Supervisor- Chief Engineer Essential Functions * Conduct room inspections and identify ...

Amp Americas

Engineering Manager

Chicago, IL · On-site

This position will assist in administering and monitoring all aspects of the engineering effort during various phases of project development, performance modification, and operations support. The ...

Amp Americas

Engineering Manager

Chicago, IL

This position will assist in administering and monitoring all aspects of the engineering effort during various phases of project development, performance modification, and operations support. The ...

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All JobsEngineering JobsEngineering Assistant JobsEngineering Assistant Jobs in Mount Prospect, IL

Engineering Assistant information

See Mount Prospect, IL salary details

$12

$31

$57

How much do engineering assistant jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for engineering assistant in Mount Prospect, IL is $31.34, according to ZipRecruiter salary data. Most workers in this role earn between $20.05 and $37.74 per hour, depending on experience, location, and employer.

What are some common challenges engineering assistants face when supporting multiple projects simultaneously?

Engineering Assistants often juggle tasks across several projects, which can present challenges in prioritization and time management. Balancing administrative duties, technical support, and communication with different teams requires strong organizational skills and adaptability. Proactively coordinating with project managers and regularly updating task lists can help manage workloads more effectively and ensure deadlines are met. Developing familiarity with project management software and open communication channels are also key to thriving in this dynamic environment.

What is the difference between Engineering Assistant vs Engineering Technician?

AspectEngineering AssistantEngineering Technician
Required CredentialsAssociate degree or relevant certificationAssociate degree or technical diploma
Work EnvironmentOffice, field, or lab settingsLaboratory, field, or manufacturing environments
Employer & Industry UsageCommon in engineering firms, construction, and manufacturingOften in manufacturing, research, and technical services
Common Search & ComparisonYesYes

Engineering Assistants typically support engineering projects through administrative tasks, data collection, and basic technical work, often working in office or field settings. Engineering Technicians focus more on hands-on technical tasks, testing, and maintaining equipment. Both roles require similar educational backgrounds but differ in daily responsibilities and work environments.

What is an engineering assistant?

An engineering assistant provides support to the engineering team on a variety of projects. As an engineering assistant, your job duties include spec reading, research, conducting tests, modifying techniques, and resolving issues. Additional responsibilities as an engineering assistant are to help project engineers design, develop, evaluate, and troubleshoot to accomplish project goals. You work as part of a team in a lab or workshop environment, so a commitment to safety and compliance with regulations is important. Communication skills are also a must for this career.

What are the key skills and qualifications needed to thrive as an engineering assistant, and why are they important?

To thrive as an Engineering Assistant, you need a solid background in engineering principles, technical drawing, and data analysis, usually supported by an associate degree or equivalent technical training. Familiarity with CAD software, Microsoft Office Suite, and project management systems is commonly required. Strong organizational skills, attention to detail, and effective communication help you excel in supporting engineering teams and handling multiple tasks. These skills ensure accurate project documentation, efficient workflows, and seamless collaboration within engineering projects.
More about Engineering Assistant jobs
What are the most commonly searched types of Engineering jobs in Mount Prospect, IL? The most popular types of Engineering jobs in Mount Prospect, IL are:
What are popular job titles related to Engineering Assistant jobs in Mount Prospect, IL? For Engineering Assistant jobs in Mount Prospect, IL, the most frequently searched job titles are:
What cities near Mount Prospect, IL are hiring for Engineering Assistant jobs? Cities near Mount Prospect, IL with the most Engineering Assistant job openings:
Engineering Assistant jobs near you
Infographic showing various Engineering Assistant job openings in Mount Prospect, IL as of July 2026, with employment types broken down into 90% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $65,197 per year, or $31.3 per hour.

Senior AI Software Engineer

CNA

Chicago, IL • On-site

$126K - $166K/yr

Full-time

Re-posted 16 days ago

Job description

You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.
Senior individual contributor on the Developer Experience (DevX) platform team, responsible for designing, building, and operating an AI-native software delivery platform across five capability domains: FeedBack (AI intelligence, observability, DORA metrics), Enterprise Enablement (Internal Developer Portal, golden-path onboarding), Build & Delivery (CI/CD/CT, GitHub Actions, ArgoCD, Harness), Safety / Application Security (Veracode, SonarCloud, JFrog Xray, supply-chain security), and App Accelerator (container base images, dev containers, starter app templates). Leads the development of AI agentic SDLC workflows - autonomous and human-in-the-loop agents that accelerate code generation, PR review, test authoring, vulnerability remediation, and deployment across engineering teams - in direct support of the platform's north-star goal of taking a developer from template selection to a running pre-production application in 10 minutes or less. Acts as a force multiplier for DevX, partnering with platform, security, container, and product engineering to embed AI assistance into every stage of the SDLC.
JOB DESCRIPTION:
Essential Duties & Responsibilities
Performs a combination of duties in accordance with departmental guidelines:
  • Own and evolve the Internal Developer Platform (Harness IDP) - self-service catalog, scaffolding templates, and golden-path workflows targeting the platform's north-star goal: developer selects a template and has an application deployed to pre-production in 10 minutes or less.

  • Architect and own CI/CD/CT pipelines on GitHub Actions, ArgoCD, and Harness across the Build & Delivery domain; design for reliability, security, and progressive delivery - able to design and operate end-to-end, not just configure.

  • Design and build AI agentic SDLC workflows: event-driven agents that autonomously perform code generation, PR review, test authoring, Veracode vulnerability auto-remediation, SonarCloud gate enforcement, and release orchestration across the delivery pipeline.

  • Implement evaluation frameworks for agentic systems (Arize, Phoenix, or equivalent) - define ground truth datasets, regression suites, guardrails, and online/offline evals to ensure AI agents operating inside the SDLC remain safe, accurate, and auditable.

  • Drive supply-chain security inside the Application Security domain: integrate SBOM generation (JFrog Xray, Syft, or Anchore) into delivery pipelines, contribute to the Binary Authorization and container image hardening initiative for Kubernetes workloads, and design automated policy gates and remediation flows.

  • Contribute to the App Accelerator domain - maintain and evolve container base images, dev container definitions, and starter app templates so that golden-path scaffolded applications are current, secure, and ready for AI-assisted development from day one.

  • Operate feature flag and progressive-delivery platforms (LaunchDarkly, Unleash, GCP-native, or equivalent); design kill-switches, canary patterns, and safe rollout strategies that protect production while enabling continuous delivery.

  • Embed observability (Datadog, Dynatrace, Elastic, or equivalent) into platform services and delivery pipelines across the FeedBack domain; own DORA metric instrumentation (deployment frequency, lead time, change failure rate, MTTR) and Application Health dashboards used to measure engineering performance.

  • Champion adoption of AI coding assistants (Claude Code, Cursor, GitHub Copilot) in an AI-native SDLC; build the guardrails, prompt patterns, and developer workflows that make AI-assisted development repeatable and safe at enterprise scale; contribute to the Code Quality as a Service offering alongside Veracode and SonarCloud.

  • Mentor engineers across the DevX and App Accelerator teams; act as a technical consultant for platform adoption, agentic AI patterns, and delivery best practices.

  • Partner with security, infrastructure, architecture, and product engineering counterparts on platform direction, roadmap, and architectural standards; represent DevX in cross-team initiatives spanning container governance, GitHub security controls, and CI/CD policy.

May perform additional duties as assigned.
Reporting Relationship
Typically Director or above
Skills, Knowledge & Abilities
Required
  • 7+ years in platform engineering with deep CI/CD pipeline ownership in a regulated, enterprise-scale environment (insurance, financial services, or equivalent).

  • Hands-on with GitHub Actions, ArgoCD, Harness, or comparable CD platforms - able to design and operate end-to-end, not just configure.

  • Proficient using AI coding tools (Claude Code, Cursor, GitHub Copilot, or equivalent) in an AI-native SDLC workflow; experience building guardrails and adoption patterns for these tools at team or enterprise scale.

  • Direct experience building or operating an Internal Developer Platform (Harness IDP, Backstage, Port) with a self-service catalog, golden-path scaffolding, and measurable time-to-value metrics (e.g., time to first deployment).

  • Feature flags and progressive-delivery experience (LaunchDarkly, Unleash, GCP-native, or equivalent) including kill-switch design and canary rollout patterns.

  • SBOM and supply-chain integration experience (JFrog Xray, Syft, Anchore) inside a delivery pipeline, including Binary Authorization or equivalent container image hardening and policy-gate design.

  • Hands-on with observability platforms (Datadog, Dynatrace, Elastic, or equivalent); able to instrument DORA metrics, define SLOs, and build actionable engineering-performance dashboards.

  • Familiarity with SAST/DAST tooling (Veracode, SonarCloud, or equivalent) in an enterprise pipeline context - ideally including automated triage or remediation workflows.

  • Experience designing and building event-driven AI agents that autonomously complete SDLC tasks, and building evals for agentic systems using Arize, Phoenix, or equivalent.

  • Strong analytical and problem-solving skills; excellent communication and interpersonal skills; able to work effectively with engineers, IT leadership, security, and business stakeholders.

  • Demonstrated ability to lead platform initiatives, drive cross-team adoption, and mentor engineers.

Preferred
  • Insurance or financial-services industry background; familiarity with regulatory and compliance requirements for software delivery.

  • Experience with security-as-code, OPA/Rego policy authoring, or compliance-automation pipelines (e.g., GitHub governance at scale, branch protection policy-as-code).

  • Hands-on with container base image pipelines, dev container standards, or starter app template frameworks.

  • Open-source contributions to platform engineering, developer tooling, or AI-agent projects.

Education & Experience
  • Bachelor's degree in Computer Science or related discipline, or equivalent work experience.

  • Minimum of 7 years of platform and software engineering experience, including direct ownership of enterprise CI/CD pipelines in a regulated industry.

  • Previous technical leadership experience on platform, developer-tooling, or AI-engineering initiatives.

  • Applicable certifications preferred (e.g., GitHub Actions, Kubernetes, cloud provider, or Harness certifications).

  • #LI-KJ1 #LI-HYBRID

In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $72,000 to $141,000 annually. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees - and their family members - achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA's benefits, please visit cnabenefits.com.
CNA utilizes AI-enabled technology during the recruiting process. For more information, please visit our careers page.
CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact leaveadministration@cna.com

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