Mid Level Developer Operations Engineer Jobs in Chicago, IL

• Bachelor's degree in Computer Science, Engineering, MIS, or related field preferred. 
• 12+ years of experience in infrastructure/software engineering, with demonstrated experience architecting cloud infrastructure and CI/CD systems at scale. 
• Expert-level proficiency in infrastructure-as-code (Terraform, Bicep, or similar) and CI/CD platforms (GitHub Actions, Azure DevOps, or Jenkins). 
• Deep understanding of distributed systems, containerization, and orchestration (Kubernetes) at scale. 
• Strong experience with cloud platforms (Azure, AWS, or GCP) and cloud-native architecture patterns. 
• Proven track record of leading large-scale technical initiatives across multiple teams. 
• Strong background in observability and monitoring tooling (metrics, logging, tracing) and incident response practices. 
• Deep understanding of security and compliance practices - identity (Zero Trust, Entra ID/Azure AD), secrets management, and audit/change controls in a regulated or public-company environment (SOX or similar). 
• Demonstrated ability to mentor engineers and influence technical direction without direct reporting authority. Preferred Qualifications 
• Nice to have experience designing multi-agent systems, tool-calling architectures, or retrieval-augmented generation (RAG) pipelines for operational or infrastructure use cases. 
• Nice to have Hands-on experience building or integrating agentic AI systems, LLM-powered operations tooling, or AI agent orchestration frameworks (e.g., LangChain, AutoGen, Semantic Kernel, MCP) into infrastructure and DevOps workflows. 
• Nice to have Track record of speaking, writing, or open-source contributions that demonstrate technical thought leadership, especially in applied AI and infrastructure automation. 
• Experience with event-driven architectures and real-time data processing (e.g., Kafka, Event Hubs, Kinesis). 
• Nice to have Familiarity with data platforms such as Databricks. 
• Prior experience in commercial real estate, fintech, or operations/transaction systems.

Why Join Us? 

• Shape the technical direction of business-critical platforms at enterprise scale, including next-generation agentic AI initiatives. 
• Be part of a high-impact team where ownership, innovation, and technical excellence drive success. 
• Competitive compensation, growth opportunities, and access to world-class engineering and AI resources. 
• Collaborative Culture: Join a high-caliber team with deep expertise across full-stack development, cloud, agentic AI, and distributed systems. 
• Growth & Learning: Access world-class learning resources and mentorship to advance your career. 
• Work-Life Balance: Flexible working hours and hybrid options. 

• Benefits: Comprehensive health, dental and vision insurance. 

  If you're passionate about architecting scalable systems, building agentic AI-driven solutions, and shaping engineering culture, we'd love to hear from you! 

  Apply now and help redefine the future of technology at scale!

• Own and drive the technical architecture for complex, cross-team infrastructure initiatives spanning cloud platforms, CI/CD, and observability. 
• Design, build, and maintain scalable, resilient cloud-native infrastructure and deployment pipelines supporting Newmark's platform footprint, including Line of Business Applications, AI Platforms (Newmark Document Intelligence (NDI), Ngage, the Newmark AI Exchange), and core enterprise systems. 
• Architect and integrate agentic AI workflows (autonomous agents, LLM-driven automation, AI copilots) into DevOps and platform operations - such as automated incident triage, self-healing infrastructure, and AI-assisted change review - to drive reliability and efficiency. 
• Set engineering standards and best practices for infrastructure-as-code, CI/CD, security, and observability across the organization, including responsible use of AI-assisted operations tooling. 
• Lead technical design reviews and provide architectural guidance to multiple engineering and platform teams. 
• Partner with product, security, and engineering leadership to translate business strategy into scalable infrastructure roadmaps, including AI-driven operational capabilities. 
• Identify and resolve systemic performance, reliability, and scalability issues across cloud infrastructure and deployment pipelines. 
• Own incident response and disaster recovery strategy for platforms in scope, driving blameless postmortems and durable, systemic fixes. 
• Mentor and coach senior and mid-level engineers, raising the technical bar across the organization on both platform engineering and applied AI/automation practices. 
• Drive adoption of modern infrastructure tools and practices to improve developer velocity and system resilience. 
• Maintain awareness of emerging technologies and industry trends, particularly in AI-driven infrastructure automation, and assess their applicability to the business.