Platform Engineer Jobs in Chicago, IL
Platform Engineer jobs in Chicago are concentrated in the Loop, River North, and the Fulton Market tech corridor, with strong demand across fintech, enterprise software, healthcare technology, and cloud infrastructure. Employers hiring right now include Akuna Capital, EY, and DRW. Find a role that fits below and apply directly.
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Showing 5 of 45+ Platform 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 45 Platform Engineer Jobs in Chicago
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Find Platform Engineer JobsPlatform Engineer Job Market in Chicago
Who's Hiring
Top Industries Hiring
- Investment & Asset Management
- Technology & Software
- Banking & Financial Services
- Education
- Distribution & Wholesale
Platform Engineer Jobs in Chicago: Frequently Asked Questions
How do I get a platform engineer job in Chicago?
Start by targeting Chicago's densest hiring pockets: fintech firms in the Loop, cloud and SaaS companies in River North, and healthcare technology employers in the Streeterville and Illinois Medical District corridors. Hands-on experience with Kubernetes, Terraform, or CI/CD pipelines gives you a concrete edge locally. Engaging with Chicago DevOps and cloud meetup communities also puts you in front of hiring managers at mid-size and enterprise firms before roles are posted.
Which companies hire platform engineers in Chicago?
Employers hiring platform engineers in Chicago right now include Akuna Capital, EY, and DRW, based on current listings on Migrate Mate as of August 2026. Chicago's mix of large financial institutions, fast-growing SaaS companies, and established healthcare systems creates a broad employer base that hires platform engineers at multiple seniority levels year-round.
Are there remote platform engineer jobs in Chicago?
Yes, though it depends on the role: platform engineering work tied to cloud infrastructure and automation is often remote-compatible, while roles requiring hands-on data center or on-premise system access tend to be on-site. About 60% of platform engineer openings tied to Chicago are remote or hybrid as of August 2026. Cloud-native and DevOps-focused roles at Chicago's SaaS and fintech employers are the most likely to offer flexible arrangements.
How can I get a platform engineer job in Chicago with little or no experience?
The most realistic entry path in Chicago is through a junior DevOps or site reliability engineer role at a mid-size SaaS or fintech company, where teams are lean enough to develop generalist engineers quickly. Chicago's strong community college and coding bootcamp ecosystem, including programs with ties to local tech employers, can help bridge credential gaps. Demonstrating hands-on projects with Terraform, Docker, or GitHub Actions in a portfolio consistently moves entry-level candidates past initial screens at Chicago employers.
Which industries hire the most platform engineers in Chicago?
The sectors hiring the most platform engineers in Chicago are Investment & Asset Management, Technology & Software, and Banking & Financial Services, based on current listings on Migrate Mate as of August 2026. Chicago's role as a national hub for financial services, its growing SaaS corridor in Fulton Market, and its large healthcare and insurance employer base all generate sustained demand for platform engineering talent across seniority levels.
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