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Information Technology 🏢 Full Time ⭐️ Verified

Lead 2026 Systems Architect

Nexus Horizon Tech
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are pioneering the technological infrastructure of the year 2026. Nexus Horizon Tech is seeking a visionary Lead 2026 Systems Architect to design the next generation of scalable, AI-driven computing environments. If you are passionate about the intersection of quantum computing, artificial intelligence, and resilient cloud architecture, we want to hear from you.

In this role, you will not just manage servers; you will architect the neural pathways of our future enterprise. You will be responsible for translating speculative future tech requirements into executable, high-performance software solutions.

Responsibilities

  • Architect Future-Proof Systems: Design and deploy robust system architectures capable of handling next-generation data loads and quantum processing tasks.
  • AI Integration: Oversee the seamless integration of advanced Machine Learning models into core infrastructure to drive autonomous decision-making.
  • Cloud Migration 2026: Lead the migration of legacy systems to next-generation serverless and edge computing frameworks.
  • Cybersecurity & Privacy: Implement zero-trust security protocols to safeguard sensitive data against emerging cyber-threat vectors.
  • R&D Collaboration: Work closely with our research division to prototype cutting-edge technologies before they reach the market.
  • Team Leadership: Mentor a diverse team of engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
  • Experience: 8+ years of experience in systems architecture, with at least 3 years in a leadership role.
  • Technical Skills: Proficiency in Python, Rust, Kubernetes, and Docker. Experience with quantum computing frameworks (e.g., Qiskit) is a plus.
  • AI Expertise: Deep understanding of neural networks, deep learning, and large language model (LLM) deployment strategies.
  • Problem Solving: Demonstrated ability to solve complex, ambiguous technical challenges.
  • Communication: Excellent verbal and written communication skills for technical and executive presentations.

Required Skills

Python Rust Kubernetes Docker AI Machine Learning Cloud Architecture Quantum Computing System Design Leadership SQL NoSQL

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