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Information Technology 🏢 Full Time ⭐️ Verified

Senior Future Systems Architect (2026 Readiness)

Nexus Horizon Tech
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the Infrastructure of Tomorrow

Nexus Horizon Tech is defining the landscape of the digital future. As we prepare for the pivotal year of 2026, we are seeking a visionary Senior Future Systems Architect to lead our research and development initiatives. This is a unique opportunity to build the foundational technologies that will power the next generation of global connectivity.

In this role, you won't just maintain legacy systems; you will architect scalable, resilient, and forward-thinking solutions for the 2026 era. You will bridge the gap between theoretical AI research and practical, high-impact engineering.

Responsibilities

  • Lead Strategic Architecture: Design and oversee the implementation of high-level system architecture that supports long-term business goals and 2026 market trends.
  • Drive Innovation: Spearhead R&D projects focusing on next-gen technologies, including advanced AI integration and post-quantum cryptography.
  • System Scalability: Ensure our infrastructure can handle exponential data growth and complex computational loads typical of the 2026 era.
  • Technical Mentorship: Guide a team of elite engineers and data scientists, fostering a culture of continuous learning and technical excellence.
  • Stakeholder Collaboration: Translate complex technical roadmaps into clear strategies for executive leadership and product teams.

Qualifications

  • Experience: 10+ years of professional experience in software architecture, systems engineering, or a related technical field.
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline (PhD preferred).
  • Technical Mastery: Deep expertise in cloud-native architectures (AWS, Azure, GCP), microservices, and containerization (Kubernetes, Docker).
  • Future Tech Knowledge: Familiarity with quantum computing concepts, edge computing, and large language model (LLM) deployment.
  • Leadership: Proven track record of leading cross-functional teams and managing large-scale technical projects.

Required Skills

System Architecture AI Machine Learning Cloud Computing Kubernetes Python Go Quantum Computing System Design

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