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Information Technology 🏢 Full Time ⭐️ Verified

Future Systems Architect

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Shape the Landscape of 2026 and Beyond

We are looking for a visionary Future Systems Architect to join Nexus Horizon and lead the design of our core infrastructure for the next decade. In this pivotal role, you will bridge the gap between theoretical future tech and practical, scalable engineering solutions.

Our mission is to redefine digital interactions through advanced AI integration and quantum-ready cloud architectures. If you are a technologist who thrives on complexity and innovation, we want to hear from you.

Responsibilities

  • Architect Resilient Systems: Design and implement scalable, fault-tolerant system architectures capable of supporting next-generation data loads and AI workloads.
  • Quantum Migration Strategy: Collaborate with R&D teams to define the roadmap for integrating quantum computing elements into our existing cloud infrastructure.
  • Technical Governance: Establish and enforce architectural standards, coding best practices, and security protocols across all engineering teams.
  • Performance Optimization: Conduct deep-dive analysis of system performance, identifying bottlenecks and implementing optimizations to ensure sub-millisecond latency.
  • Future-Proofing: Proactively research and evaluate emerging technologies (Web3, Edge Computing, Neural Interfaces) to determine feasibility and integration points.
  • Leadership & Mentorship: Lead technical design reviews and mentor senior engineers, fostering a culture of continuous learning and innovation.

Qualifications

  • Experience: 10+ years of experience in software architecture, system design, and distributed systems.
  • Core Tech: Deep expertise in Kubernetes, Docker, microservices, and serverless computing.
  • AI Integration: Proven track record of designing systems that integrate and scale with Large Language Models (LLMs) and machine learning pipelines.
  • Security: Strong understanding of zero-trust architecture, encryption standards, and cybersecurity best practices.
  • Tools:
  • Proficiency in Terraform, Ansible, and AWS/Azure/GCP infrastructure as code.
  • Required Skills

    System Architecture AI Integration Cloud Computing Kubernetes Docker Microservices Cybersecurity Quantum Computing Python Go Terraform

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