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Debugger Jobs in Illinois (NOW HIRING)

Tooling Design Engineer

Addison, IL · On-site

$110K - $140K/hr

Revise drawings as needed during tooling debug or production * Collaborate with tooling vendors and internal toolmakers to produce tooling to drawing specifications. * Oversee tooling debug as part ...

Java Developer

Chicago, IL · On-site

$52.50 - $68/hr

Design, code, test, and debug Java applications that adhere to best practices, coding standards, and architectural guidelines. 2. **AWS Integration:** Utilize a variety of AWS services, such as AWS ...

Revise drawings as needed during tooling debug or production * Collaborate with tooling vendors and internal toolmakers to produce tooling to drawing specifications. * Oversee tooling debug as part ...

Embedded Engineer

Chicago, IL · On-site

$100K - $160K/yr

Write, port, and debug device drivers over UART, I2C, SPI, CAN/DroneCAN, and USB for sensors, rangefinders, radios, gimbals, and payloads * Bring up new hardware from bare board to flying vehicle ...

Embedded Software Engineer

IL · On-site

$135K - $178K/yr

Software Design & Development • Develop, code, test, and debug new embedded software or enhancements to existing software for third-party customers and internal product lines. • Work from ...

Java Developer

Chicago, IL · On-site

$52.50 - $68/hr

Design, code, test, and debug Java applications that adhere to best practices, coding standards, and architectural guidelines. 2. ** AWS Integration :** Utilize a variety of AWS services, such as AWS ...

Emphasizes logical thinking and systematic debugging skills and connects programming to web development, data science, game design, and automation applications. * Curriculum Awareness & Adaptive ...

Emphasizes logical thinking and systematic debugging skills and connects programming to web development, data science, game design, and automation applications. * Curriculum Awareness & Adaptive ...

Emphasizes logical thinking and systematic debugging skills and connects programming to web development, data science, game design, and automation applications. * Curriculum Awareness & Adaptive ...

Emphasizes logical thinking and systematic debugging skills and connects programming to web development, data science, game design, and automation applications. * Curriculum Awareness & Adaptive ...

Emphasizes logical thinking and systematic debugging skills and connects programming to web development, data science, game design, and automation applications. * Curriculum Awareness & Adaptive ...

Emphasizes logical thinking and systematic debugging skills and connects programming to web development, data science, game design, and automation applications. * Curriculum Awareness & Adaptive ...

Emphasizes logical thinking and systematic debugging skills and connects programming to web development, data science, game design, and automation applications. * Curriculum Awareness & Adaptive ...

Emphasizes logical thinking and systematic debugging skills and connects programming to web development, data science, game design, and automation applications. * Curriculum Awareness & Adaptive ...

Emphasizes logical thinking and systematic debugging skills and connects programming to web development, data science, game design, and automation applications. * Curriculum Awareness & Adaptive ...

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Debugger information

How much do debuggers make?

Debuggers, often software developers or quality assurance specialists, typically earn between $60,000 and $110,000 annually depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with specialized skills or certifications can earn higher salaries.

How to become a debugger?

To become a debugger, you should develop strong problem-solving skills, learn programming languages such as C++, Java, or Python, and gain experience with debugging tools like GDB, Visual Studio, or Chrome DevTools. A background in computer science or software engineering and familiarity with software development processes are also beneficial.

What is a debugger?

Debuggers are specialized software tools or utilities used by developers to identify, analyze, and fix bugs or issues within computer programs. They allow programmers to run code step-by-step, inspect variables, and monitor the execution flow to pinpoint where errors occur. Debuggers are essential in software development, as they help ensure programs run correctly and efficiently. By using a debugger, developers can save time during troubleshooting and improve the reliability of their applications.

What is the difference between Debugger vs Software Tester?

AspectDebuggerSoftware Tester
Primary RoleIdentify and fix bugs in code during developmentEvaluate software to find bugs and ensure quality before release
Required SkillsProgramming knowledge, problem-solving, debugging toolsTesting methodologies, attention to detail, test case creation
Work EnvironmentDevelopment teams, coding environmentsQuality assurance teams, testing labs
CertificationsNone typically required, programming certifications helpfulISTQB, software testing certifications often preferred

While both Debuggers and Software Testers focus on software quality, Debuggers primarily work during development to fix issues, whereas Software Testers evaluate the software before release to identify bugs. Debuggers are more involved in the coding process, while Testers focus on testing strategies and quality assurance.

What are some common challenges a debugger faces when troubleshooting complex software issues?

Debuggers often encounter challenges such as reproducing intermittent bugs, analyzing large codebases, and isolating root causes within multi-threaded or distributed systems. Working closely with developers and QA teams is essential to gather detailed information about reported issues. It's important to stay patient and methodical, using a variety of tools and techniques, such as breakpoints, logging, and memory analysis, to systematically eliminate potential sources of error. Collaboration and communication skills are key to efficiently resolving issues and ensuring software reliability.

What are the key skills and qualifications needed to thrive as a debugger, and why are they important?

To thrive as a Debugger, you need strong analytical skills, proficiency in programming languages, and a solid understanding of software architecture, typically supported by a degree in computer science or related experience. Familiarity with debugging tools (such as GDB, LLDB, or WinDbg), version control systems, and integrated development environments (IDEs) is essential. Attention to detail, persistence, and clear problem-solving communication are crucial soft skills for identifying and resolving complex code issues. These skills and qualities are important to efficiently diagnose, troubleshoot, and fix software bugs, ensuring high-quality, reliable applications.
Infographic showing various Debugger job openings in Illinois as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution.

Devops/Infrastructure Engineer

Tech Tammina

Hoffman Estates, IL • On-site

$105K - $138K/yr

Full-time

Re-posted 13 hours ago


Job description

Job Title: Devops/Infrastructure Engineer
Location: Hoffman Estates, IL
Skills Required
• Networking (Production Issue)
• Istio service mesh: Deep troubleshooting, sidecar injection, mTLS, Envoy proxy debugging
• Flannel CNI: VXLAN/host-gw, overlay network debugging, MTU configuration
• kube-proxy: iptables/IPVS modes, service endpoint sync issues, conntrack debugging
• CoreDNS: Performance tuning, query debugging, NodeLocal DNSCache
• Tools: tcpdump, Wireshark, packet analysis, distributed tracing (Jaeger) AI-Enhanced Operations with MCP
• MCP Integration: Build and deploy Model Context Protocol (MCP) servers for infrastructure operations
• Custom MCP Servers: Create MCP servers for Kubernetes API access, log querying, metrics retrieval, incident management
• AI-Powered Troubleshooting: Connect Claude/LLMs to infrastructure via MCP for real-time diagnostics and remediation
• Intelligent Automation: Build MCP-enabled AI agents for automated log analysis, anomaly detection, root cause analysis
• Operational AI Assistants: Deploy MCP servers connecting AI to GitLab, Jira, Slack, PagerDuty for incident orchestration
• Infrastructure Query Interface: Create MCP servers exposing Prometheus, Elasticsearch, Kubernetes APIs to AI assistants
• Self-Service Tools: Build AI-powered interfaces using MCP for team members to query infrastructure state