Senior Software Engineer

Newmark; Dallas (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Newmark in Dallas is seeking a Senior Technical Architect to own and drive the technical architecture for cross-team, full-stack initiatives across front-end, back-end, and data layers. You will design, build, and maintain scalable, cloud-native web applications and distributed services, and integrate agentic AI workflows to boost efficiency and unlock new capabilities.

You will set engineering standards, lead design reviews, mentor engineers, and partner with product and leadership to translate

Qualifications

• Bachelor's degree in CS, engineering, MIS, or related field.
• 12+ years of software engineering experience with full-stack architecture at scale.
• Expert level in modern JavaScript/TypeScript frameworks and backend languages.
• Deep knowledge of distributed systems, microservices, and API design.
• Cloud platform experience (Azure, AWS, or GCP) and cloud-native patterns.
• Hands-on in agentic AI, LLM-powered apps, or AI orchestration frameworks.
• Proven track record leading large-scale initiatives across multiple teams.
• Strong SQL and NoSQL database design experience.
• CI/CD pipelines, IaC, and DevOps practices.
• Mentor engineers and influence technical direction.

Responsibilities

• Own and drive technical architecture for cross-team full-stack initiatives.
• Design, build, and maintain scalable web applications and services in cloud-native env.
• Architect and integrate agentic AI workflows into systems to drive efficiency.
• Set engineering standards for quality, design, testing, and deployment, including AI tools.
• Lead technical design reviews and provide architectural guidance to multiple teams.
• Collaborate with product/design/leadership to map business strategy to scalable roadmaps including AI features.
• Identify and resolve systemic performance, reliability, and scalability issues.
• Mentor senior and mid-level engineers to raise technical bar in full-stack and AI practices.
• Drive adoption of modern frameworks/tools, including agentic AI and LLM tooling.
• Stay aware of emerging tech, especially agentic AI and automation, and assess applicability.

Skills

Full-stack architecture

Cloud platforms

Distributed systems

CI/CD & DevOps

Mentorship

Education

Bachelor's degree in CS or related

Tools

React/Next.js

Node.js

C#

Java

Docker

Kubernetes

LangChain

Semantic Kernel

Job description

• Own and drive the technical architecture for complex, cross-team full-stack initiatives spanning front-end, backend, and data layers.


• Design, build, and maintain scalable, high-performance web applications and distributed services in a cloud-native environment.


• Architect and integrate agentic AI workflows (autonomous agents, LLM-driven automation, AI copilots) into engineering and product systems to drive efficiency and new capabilities.


• Set engineering standards and best practices for code quality, system design, testing, and deployment across the organization, including responsible use of AI-assisted development tools.


• Lead technical design reviews and provide architectural guidance to multiple engineering teams.


• Partner with product, design, and engineering leadership to translate business strategy into scalable technical roadmaps, including AI-driven product capabilities.


• Identify and resolve systemic performance, reliability, and scalability issues across the stack.


• Mentor and coach senior and mid-level engineers, raising the technical bar across the organization on both full-stack and AI engineering practices.


• Drive adoption of modern frameworks, tools, and engineering practices, including agentic AI and LLM tooling, to improve developer velocity and system resilience.


• Maintain awareness of emerging technologies and industry trends, particularly in agentic AI and automation, and assess their applicability to the business.

Responsibilities

• Own and drive the technical architecture for complex, cross-team full-stack initiatives spanning front-end, backend, and data layers.


• Design, build, and maintain scalable, high-performance web applications and distributed services in a cloud-native environment.


• Architect and integrate agentic AI workflows (autonomous agents, LLM-driven automation, AI copilots) into engineering and product systems to drive efficiency and new capabilities.


• Set engineering standards and best practices for code quality, system design, testing, and deployment across the organization, including responsible use of AI-assisted development tools.


• Lead technical design reviews and provide architectural guidance to multiple engineering teams.


• Partner with product, design, and engineering leadership to translate business strategy into scalable technical roadmaps, including AI-driven product capabilities.


• Identify and resolve systemic performance, reliability, and scalability issues across the stack.


• Mentor and coach senior and mid-level engineers, raising the technical bar across the organization on both full-stack and AI engineering practices.


• Drive adoption of modern frameworks, tools, and engineering practices, including agentic AI and LLM tooling, to improve developer velocity and system resilience.


• Maintain awareness of emerging technologies and industry trends, particularly in agentic AI and 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 software engineering, with demonstrated experience architecting full-stack web applications at scale.


• Expert-level proficiency in modern JavaScript/TypeScript frameworks (e.g., React, Next.js) and backend languages (e.g., C#, Node.js, Java, or similar).


• Deep understanding of distributed systems design, microservices architecture, and API design (REST/GraphQL).


• Strong experience with cloud platforms (Azure, AWS, or GCP) and cloud-native architecture patterns.


• Hands-on experience building or integrating agentic AI systems, LLM-powered applications, or AI agent orchestration frameworks (e.g., LangChain, AutoGen, Semantic Kernel, MCP).


• Proven track record of leading large-scale technical initiatives across multiple teams.


• Strong background in database design, including both relational (SQL) and NoSQL data stores.


• Deep understanding of CI/CD pipelines, infrastructure as code, and DevOps practices.


• 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.


• Experience with event-driven architectures and real-time data processing (e.g., Kafka, Event Hubs, Kinesis).


• Familiarity with containerization and orchestration technologies (Docker, Kubernetes).


• Prior experience in commercial real estate, fintech, or operations/transaction systems.


• Track record of speaking, writing, or open-source contributions that demonstrate technical thought leadership, especially in applied AI.

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!