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Newmark

engineering opportunity

Staff DevOps Engineer

The Staff DevOps Engineer will architect and maintain scalable, resilient cloud-native infrastructure and CI/CD pipelines while integrating agentic AI workflows to enhance operational efficiency. They will also lead technical design reviews, set engineering standards, and mentor senior and mid-level engineers to drive platform reliability.

Chicago, Illinois, United StateshybridFULL_TIME

Posted

About the role

What will you do at Newmark?

RESPONSIBILITIES

* 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.

QUALIFICATIONS

* 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!

Which skills does this role require?

LLM-driven automationTechnical leadershipMentorshipZero TrustLangChainAutoGenSemantic KernelMCPKafkaEvent HubsKinesisDatabricksDisaster recoveryAutomationSystem architectureLLMsProduct Strategy

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