Quality Assurance Engineer Jobs in Chicago, IL
Quality Assurance Engineer jobs in Chicago are concentrated in the Loop, River North, and the Fulton Market tech corridor, driven by demand across healthtech, fintech, and enterprise software. Employers hiring right now include Deloitte, Jobot, and BRAVEN. See the openings below and apply to the ones that match your experience.
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Showing 5 of 107+ Quality Assurance Engineer jobs
Senior AI QA Platform Engineer – Agentic QA Orchestration (Amazon Bedrock)
Company: BONbLOC Technologies
Location: Remote (Candidates must reside in or around Chicago Area, Midwest, New Jersey, or New York)
Role Type: Full-Time / Contract
Seniority Level: Senior Level (7+ Years Experience)
Position Summary
We are seeking a Senior AI QA Platform Engineer to design and implement an enterprise AI-enabled QA Orchestration Platform leveraging Amazon Bedrock, AgentCore, Playwright, AWS CodeBuild, GitHub, Databricks, Jira, and qTest.
This platform will utilize agentic AI workflows to generate and maintain automated tests, orchestrate execution paths, classify test failures, create actionable defects, and provide governance, observability, traceability, and auditability across the QA lifecycle. The ideal candidate combines expertise in software engineering, cloud-native platforms, AI/LLM integration, CI/CD automation, and quality engineering.
Primary Responsibilities
- Agentic AI Orchestration: Design and implement AI-powered QA orchestration workflows using Amazon Bedrock, AgentCore, and Multi-Agent Architectures.
- Autonomous QA Capabilities: Develop agent-based automation capabilities for test generation, self-healing test maintenance, failure classification, defect routing, and test intelligence/analytics.
- Framework & Repository Management: Integrate AI workflows with Playwright frameworks and build automated GitHub branch creation, pull request generation, and repository-aware test generation patterns.
- CI/CD & Quality Gates: Design and implement integrations with AWS CodeBuild and enterprise CI/CD pipelines, incorporating rule-based quality gates and AI-assisted failure analysis.
- Enterprise Platform Integrations: Build integrations with Databricks, Jira, qTest, and GitHub, leveraging Databricks Test Data Management (TDM) and analytics for historical context and failure classification.
- AI Governance & Observability: Design and implement AI governance controls including prompt version control, Model Context Protocol (MCP), approved action policies, audit logging, human-in-the-loop workflows, and AI action traceability.
- Cross-Functional Collaboration: Partner with QA, DevOps, Cloud Engineering, Data Engineering, and Security teams to establish enterprise AI testing standards and platform architecture.
Required Technical Skills
- AI & Agentic Systems: Claude, Prompt Engineering, Agentic AI Workflows, Multi-Agent Architectures, Model Context Protocol (MCP).
- Preferred Agent Frameworks: Strands Agents, Amazon Bedrock, AgentCore.
- Programming & Scripting: TypeScript, Node.js, JavaScript, SQL, REST API Development.
- Cloud & AWS: AWS Services (IAM, CodeBuild, CloudWatch, S3, Secrets Manager, Parameter Store).
- DevOps & CI/CD: GitHub, GitHub Actions, CI/CD Pipelines, Infrastructure as Code (Terraform preferred).
- Automation & Enterprise Tools: Playwright, API Testing, Test Automation Framework Architecture, Test Data Management Concepts, Jira, qTest, Databricks.
Preferred Qualifications
- Experience: 7+ years of software engineering, automation engineering, platform engineering, or cloud engineering experience, with 5+ years designing and implementing enterprise test automation solutions.
- AI & Cloud Mastery: Experience building cloud-native solutions on AWS and integrating AI/LLM capabilities into engineering or developer automation platforms.
- Governance & Analytics: Track record of designing governance, auditability, compliance, and operational controls, as well as working with Databricks, TDM, or analytics-driven automation solutions.
- Location Requirements: Candidates must reside in or around the Chicago Area, Midwest, New Jersey, or New York regions.
- Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience.
Preferred Certifications
- AWS Certified Solutions Architect
- AWS Certified AI Practitioner
- AWS Certified Developer – Associate
- HashiCorp Certified: Terraform Associate
Pay: $95,000.00 - $100,000.00 per year
Work Location: Remote
Senior AI QA Platform Engineer – Agentic QA Orchestration (Amazon Bedrock)
Company: BONbLOC Technologies
Location: Remote (Candidates must reside in or around Chicago Area, Midwest, New Jersey, or New York)
Role Type: Full-Time / Contract
Seniority Level: Senior Level (7+ Years Experience)
Position Summary
We are seeking a Senior AI QA Platform Engineer to design and implement an enterprise AI-enabled QA Orchestration Platform leveraging Amazon Bedrock, AgentCore, Playwright, AWS CodeBuild, GitHub, Databricks, Jira, and qTest.
This platform will utilize agentic AI workflows to generate and maintain automated tests, orchestrate execution paths, classify test failures, create actionable defects, and provide governance, observability, traceability, and auditability across the QA lifecycle. The ideal candidate combines expertise in software engineering, cloud-native platforms, AI/LLM integration, CI/CD automation, and quality engineering.
Primary Responsibilities
- Agentic AI Orchestration: Design and implement AI-powered QA orchestration workflows using Amazon Bedrock, AgentCore, and Multi-Agent Architectures.
- Autonomous QA Capabilities: Develop agent-based automation capabilities for test generation, self-healing test maintenance, failure classification, defect routing, and test intelligence/analytics.
- Framework & Repository Management: Integrate AI workflows with Playwright frameworks and build automated GitHub branch creation, pull request generation, and repository-aware test generation patterns.
- CI/CD & Quality Gates: Design and implement integrations with AWS CodeBuild and enterprise CI/CD pipelines, incorporating rule-based quality gates and AI-assisted failure analysis.
- Enterprise Platform Integrations: Build integrations with Databricks, Jira, qTest, and GitHub, leveraging Databricks Test Data Management (TDM) and analytics for historical context and failure classification.
- AI Governance & Observability: Design and implement AI governance controls including prompt version control, Model Context Protocol (MCP), approved action policies, audit logging, human-in-the-loop workflows, and AI action traceability.
- Cross-Functional Collaboration: Partner with QA, DevOps, Cloud Engineering, Data Engineering, and Security teams to establish enterprise AI testing standards and platform architecture.
Required Technical Skills
- AI & Agentic Systems: Claude, Prompt Engineering, Agentic AI Workflows, Multi-Agent Architectures, Model Context Protocol (MCP).
- Preferred Agent Frameworks: Strands Agents, Amazon Bedrock, AgentCore.
- Programming & Scripting: TypeScript, Node.js, JavaScript, SQL, REST API Development.
- Cloud & AWS: AWS Services (IAM, CodeBuild, CloudWatch, S3, Secrets Manager, Parameter Store).
- DevOps & CI/CD: GitHub, GitHub Actions, CI/CD Pipelines, Infrastructure as Code (Terraform preferred).
- Automation & Enterprise Tools: Playwright, API Testing, Test Automation Framework Architecture, Test Data Management Concepts, Jira, qTest, Databricks.
Preferred Qualifications
- Experience: 7+ years of software engineering, automation engineering, platform engineering, or cloud engineering experience, with 5+ years designing and implementing enterprise test automation solutions.
- AI & Cloud Mastery: Experience building cloud-native solutions on AWS and integrating AI/LLM capabilities into engineering or developer automation platforms.
- Governance & Analytics: Track record of designing governance, auditability, compliance, and operational controls, as well as working with Databricks, TDM, or analytics-driven automation solutions.
- Location Requirements: Candidates must reside in or around the Chicago Area, Midwest, New Jersey, or New York regions.
- Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience.
Preferred Certifications
- AWS Certified Solutions Architect
- AWS Certified AI Practitioner
- AWS Certified Developer – Associate
- HashiCorp Certified: Terraform Associate
Pay: $95,000.00 - $100,000.00 per year
Work Location: Remote
See All 107+ Quality Assurance Engineer Jobs in Chicago
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Find JobsQuality Assurance Engineer Job Market in Chicago
Who's Hiring
- Deloitte10
- Jobot5
- BRAVEN5
- Tempus5
- Tovala5
Top Industries Hiring
- Manufacturing10
- Education5
- Staffing & Recruiting5
- Technology & Software5
- Investment & Asset Management5
Quality Assurance Engineer Jobs in Chicago: Frequently Asked Questions
How do I get a quality assurance engineer job in Chicago?
Focus your search on Chicago's healthtech and fintech sectors, which consistently post the most quality assurance engineer openings in the city. Employers in the Loop and Fulton Market tech corridor are especially active. Candidates with hands-on experience in automation frameworks, Agile workflows, and tools like Selenium or JIRA stand out locally. Connecting with Chicago's tech meetup community and targeting mid-size software companies gives you a concrete edge over purely remote applicants.
Which companies hire quality assurance engineers in Chicago?
Companies currently hiring quality assurance engineers in Chicago include Deloitte, Jobot, and BRAVEN, per current listings on Migrate Mate as of August 2026. Chicago's employer base for this role is broad, ranging from large financial institutions and hospital systems to fast-growing software startups based in the Fulton Market and West Loop neighborhoods.
Are there remote quality assurance engineer jobs in Chicago?
Yes, though availability depends heavily on the role: analytical and automation-focused QA positions are regularly offered remotely, while roles requiring hands-on hardware or lab testing are almost always on-site. About 42% of quality assurance engineer openings tied to Chicago are remote or hybrid as of August 2026, with the strongest remote options coming from Chicago's enterprise software and fintech employers.
How can I get a quality assurance engineer job in Chicago with little or no experience?
The most realistic entry path in Chicago is targeting junior QA analyst or QA tester roles at mid-size software companies and healthtech startups, which hire entry-level candidates more readily than large enterprises. Building skills in manual testing, writing test cases, and learning one automation tool like Selenium makes you competitive. Chicago coding bootcamp graduates often land first QA roles at local agencies or software consultancies that value demonstrated project work over years of experience.
Which industries hire the most quality assurance engineers in Chicago?
Most quality assurance engineer openings in Chicago sit in Manufacturing, Education, and Staffing & Recruiting, per current listings on Migrate Mate as of August 2026. Chicago's position as a national hub for financial technology, hospital networks, and enterprise software companies creates consistent, year-round demand for quality assurance talent across each of those sectors.
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