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Day Shift Distributed Systems Engineer Jobs in Chicago, IL

Entegris

Senior Control Systems Engineer

Aurora, IL · On-site

$165K - $171K/yr

... Distributed control systems Write, debug, and optimize PLC logic, and HMI/SCADA interfaces ... Engineering (Mechanical, Chemical, Electrical) At least 5 years of experience in industrial ...

Entegris

Senior Control Systems Engineer

Aurora, IL · On-site

$165K - $171K/yr

... Distributed control systems Write, debug, and optimize PLC logic, and HMI/SCADA interfaces ... Engineering (Mechanical, Chemical, Electrical) At least 5 years of experience in industrial ...

Panatrol

Controls Systems Engineer

Oak Forest, IL · On-site

$80K - $104K/yr

The Controls Systems Engineer reviews and designs engineered systems for various applications in ... Perform basic power distribution and control power calculations in support of design, component ...

Panatrol

Controls Systems Engineer

Oak Forest, IL · On-site

$80K - $104K/yr

The Controls Systems Engineer reviews and designs engineered systems for various applications in ... Perform basic power distribution and control power calculations in support of design, component ...

Camping World

Payment Systems Engineer

Lincolnshire, IL · On-site

$111K - $170K/yr

Lincolnshire, IL (Hybrid) 3 Days On-site Employment Type: Full-Time Experience: 5-10 Years About the Role We're building a modern, scalable enterprise payments platform to support seamless ...

Camping World

Payment Systems Engineer

Chicago, IL

$111K - $170K/yr

Lincolnshire, IL (Hybrid) 3 Days On-site Employment Type: Full-Time Experience: 5-10 Years About the Role We're building a modern, scalable enterprise payments platform to support seamless ...

Acara Solutions

System Engineer

Buffalo Grove, IL

$50/hr

Schedule: 40 hours/week - 1st shift About the Opportunity: * Provides support of existing products ... Assembles or directs the assembly of mechanical hardware and systems and other tasks. * Use ...

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Showing results 41-60

All JobsDay Shift Distributed Systems Engineer JobsDay Shift Distributed Systems Engineer Jobs in Chicago, IL

Day Shift Distributed Systems Engineer information

See Chicago, IL salary details

$55.1K

$131.1K

$172K

How much do day shift distributed systems engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for day shift distributed systems engineer in Chicago, IL is $131,050.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,000.00 and $161,700.00 per year, depending on experience, location, and employer.

What is the difference between Day Shift Distributed Systems Engineer vs Network Systems Engineer?

AspectDay Shift Distributed Systems EngineerNetwork Systems Engineer
CredentialsBachelor's in CS or related, certifications like AWS, Cisco (CCNA)Bachelor's in CS or related, certifications like Cisco (CCNA), CompTIA Network+
Work EnvironmentDesigning, deploying, maintaining distributed systems, cloud environmentsManaging network infrastructure, configuring routers/switches, troubleshooting connectivity
Industry UsageTech, cloud providers, large-scale enterprise systemsTelecommunications, data centers, enterprise networks

The Day Shift Distributed Systems Engineer focuses on building and maintaining distributed computing environments, often in cloud or data center settings. In contrast, a Network Systems Engineer specializes in network infrastructure, ensuring connectivity and security. Both roles require technical certifications and work in tech-driven industries, but their daily tasks and focus areas differ significantly.

What are popular job titles related to Day Shift Distributed Systems Engineer jobs in Chicago, IL? For Day Shift Distributed Systems Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Day Shift Distributed Systems Engineer jobs in Chicago, IL look for? The top searched job categories for Day Shift Distributed Systems Engineer jobs in Chicago, IL are:
Day Shift Distributed Systems Engineer jobs near you

Senior Systems Engineer, Kubernetes

Co-Sourcing Partners

Chicago, IL • On-site

$107K - $147K/yr

Full-time, Contractor

Re-posted 16 days ago

Job description

Position: Senior Systems Engineer - Kubernetes & Cloud Platform
Location: Chicago, IL (Hybrid)
Employment Type: Contract with potential to convert to Full-Time
Role Overview:
Reporting to the Director of IT, this Senior Systems Engineer will play a lead role in architecting, deploying, and managing enterprise-grade Kubernetes environments across AWS and GCP. The ideal candidate will be an expert in Kubernetes administration and cloud-native system design, with deep hands-on experience in platform automation, CI/CD pipelines, and service mesh technologies such as Istio. This role is critical in ensuring reliability, scalability, and performance of cloud-based infrastructure supporting critical applications.
Employee Value Proposition:
Purpose: This role enables the organization to modernize and future-proof its infrastructure by driving the design and automation of Kubernetes platforms in multi-cloud environments. Your work will directly impact platform resilience, scalability, and developer productivity.
Growth: As a technical SME, you will gain exposure to cutting-edge cloud-native tools and multi-cloud strategies, positioning yourself as a leader in the evolving field of platform engineering. There is a clear path for this contract position to transition into a full-time role based on performance.
Motivators: You will be empowered to lead platform innovation, evaluate and integrate emerging tools, and build solutions that automate and streamline deployment and monitoring. Your contributions will shape a mission-critical foundation for development teams and business growth.
Major Objectives:
  1. Design and Deploy Production-Grade Kubernetes Clusters in AWS and GCP
  2. Within the first 60 days, take ownership of the architecture, deployment, and configuration of secure, scalable Kubernetes clusters across AWS and GCP. This includes provisioning, role-based access control, network policies, and monitoring setup. Success will be measured by a fully operational and documented environment ready for production workloads.
  3. Establish a CI/CD Pipeline and GitOps Deployment Workflow
  4. Within the first 90 days, implement a fully automated CI/CD pipeline integrated with tools like ArgoCD, Helm, and GitHub Actions or similar. Ensure the deployment process supports multiple environments and rollback mechanisms. KPIs include deployment frequency, recovery time, and reduced manual intervention.
  5. Lead Platform Automation and Observability Enhancements
  6. By the end of the second quarter, develop infrastructure-as-code (IaC) modules using Terraform or similar, and integrate observability tooling including Prometheus, Grafana, and distributed tracing. Key outcomes include reduced manual configuration and increased visibility into cluster performance.
Critical Subtasks
  1. Evaluate the Current Cloud Footprint and K8s Infrastructure
  2. In the first 30 days, conduct a comprehensive assessment of existing Kubernetes environments and associated AWS/GCP workloads. Provide a gap analysis and prioritize opportunities for improvement.
  3. Harden Kubernetes Cluster Security and Networking
  4. Within 45 days, implement best practices for container and cluster security using tools like Calico for network policy, and IAM integrations for secure access control. Document policies and provide a compliance checklist.
  5. Integrate and Manage Istio Service Mesh
  6. By Day 60, deploy and configure Istio to support service discovery, traffic management, and security policies. Validate with test workloads and monitor performance.
  7. Provide Technical Leadership and SME Support to Development Teams
  8. On an ongoing basis, serve as the subject matter expert for platform operations, answering design and deployment questions, reviewing Helm charts, and collaborating on incident resolution.
  9. Support Multi-Cloud Deployment Readiness and Testing
  10. Within the first 120 days, ensure that all platform components are tested and validated for multi-cloud compatibility. Document any GCP-specific configurations alongside AWS baselines.
  11. Drive Continuous Improvements in Deployment Velocity and System Uptime
  12. Track system performance, deployment success rates, and incident trends. Recommend and implement changes that reduce failure rates and recovery times.
  13. Continuously Evaluate and Integrate AI to Improve Performance
  14. Within the first 90-180 days, take ownership of identifying how AI and automation tools can support or enhance the core responsibilities of this role. Evaluate tasks that could be streamlined or improved, lead pilots, and embed continuous AI adoption into daily work.

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