Staff DevOps Engineer

About the role

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. Join a collaborative, high-caliber team with deep expertise across full-stack development, cloud, agentic AI, and distributed systems.

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.

Requirements

• 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

• Experience designing multi-agent systems, tool-calling architectures, or retrieval-augmented generation (RAG) pipelines for operational or infrastructure use cases.
• 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.
• 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).
• Familiarity with data platforms such as Databricks.
• Prior experience in commercial real estate, fintech, or operations/transaction systems.

Benefits

• Competitive compensation and growth opportunities.
• Access to world-class engineering and AI resources.
• Comprehensive health, dental, and vision insurance.
• Flexible working hours and hybrid options.