DevOps Engineer
Inspire11 - Chicago, IL
Posted May 6, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
DevOps Engineer Chicago, IL Inspire11 is a full-service consulting firm that helps clients reach their full potential by getting closer to their customers, their employees, and their communities. Utilizing innovative and strategic thought with technology to bring change and disruption to life. Our team partners with technology leaders to help them strategize and execute their digital, analytics and technology initiatives. We focus on positively disrupting the marketplace and building customer loyalty in an ever-fickle consumer market. We are constantly keeping our eyes open for revenue generating opportunities in organizations using application development and data analytics. In order to meet the demands of our high growth business, we are looking for talented DevOps Engineer to provide insights and solutions to our clients. What you do at Inspire11 - You will work closely with our tech & consulting teams to understand their project needs, and help define & implement solutions that enable us to succeed in our objectives - You will work with AWS technologies like EC2, IAM, S3, CloudFront, RDS - You will automate repetitive tasks using tools like Puppet, Chef, Docker, Jenkins and/or Ansible - You will implement and optimize the CI/CD pipeline while accounting for re-usability, performance, and security - You will build and maintain tools for deployment, monitoring, and operations - You will actively explore and apply AI/ML and agentic AI technologies to DevOps workflows and platform engineering; staying current with AI-assisted pipeline tooling, intelligent observability, LLM-powered automation patterns, infrastructure copilots, and governance considerations for AI in CI/CD
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