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Senior Software Engineer

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Newmark
Full Time position
Listed on 2026-08-28
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, Full Stack Developer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below
  • 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/Type Script 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., Lang Chain, Auto Gen, 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 No

    SQL data stores.
  • Deep understanding of CI/CD pipelines, infrastructure as code, and Dev Ops 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…
Position Requirements
10+ Years work experience
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