Director of AI-Driven Cloud & Data Platforms

Newmark

Dallas (TX)

On-site

USD 200,000 - 250,000

Full time

14 days+

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Benefits offered by this job

Hybrid options
Career growth opportunities

Job summary

Newmark in Dallas, TX is seeking a Senior Engineering Leader to guide multiple high-performing teams across full-stack, data, and AI initiatives. You will own delivery, quality, reliability, and platform health while shaping technical strategy and roadmaps.

You will hire, mentor, and evaluate engineers, enforce architecture and DevOps practices, collaborate with product and business leadership, and drive responsible use of AI tools. Competitive compensation and growth await.

Qualifications

  • 12+ years of software or data engineering experience.
  • 4+ years directly managing engineering teams.
  • Proven track record building and retaining high-performing teams.
  • Strong understanding of distributed systems and cloud-native architecture.
  • Experience with agentic AI and LLM-powered systems is preferred.

Responsibilities

  • Lead, grow, and retain multiple high-performing engineering teams across full-stack, data, and AI initiatives.
  • Own end-to-end delivery, quality, reliability, and operational health of cloud-native platforms.
  • Mentor engineers; set goals, conduct reviews, and drive career growth.
  • Own hiring end-to-end to build diverse teams through recruiting and onboarding.
  • Set engineering standards for architecture, quality, testing, security, and deployment.

Skills

Engineering Leadership
Cloud-Native Architecture
API Design (REST/GraphQL)
Distributed Systems
Hiring & People Mgmt

Education

Bachelor's degree in CS or related field

Tools

Docker
Kubernetes
LangChain
AutoGen
Semantic Kernel
Kafka

Job description

Newmark in Dallas, TX is seeking a Senior Engineering Leader to guide multiple high-performing teams across full-stack, data, and AI initiatives. You will own delivery, quality, reliability, and platform health while shaping technical strategy and roadmaps.

You will hire, mentor, and evaluate engineers, enforce architecture and DevOps practices, collaborate with product and business leadership, and drive responsible use of AI tools. Competitive compensation and growth await.

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