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oracle

Staff Software Engineer

Newmark
Chicago, USA
Full-time
Senior · 12+ years experience
Onsite
Discovered 3 weeks ago
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Full Job Posting

Qualifications

  • Basic 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!
  • Apply now and help redefine the future of technology at scale!
  • Salary
  • The expected base salary for this position ranges from $190,000 to $250,000 annually. The actual base salary will be determined on an individualized basis taking into account a wide range of factors including, but not limited to, relevant skills, experience, education, and, where applicable, licenses or certifications held. In addition to base salary and a competitive benefits package, this position may be eligible for additional types of compensation including discretionary bonuses and other short- and long-term incentives (e.g., deferred cash, equity, etc.).

Responsibilities

  • Key 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.

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