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Information Technology 🏢 Full Time ⭐️ Verified

Future-Ready Systems Architect | AI & Quantum Integration

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

Job Description

Are you ready to architect the digital infrastructure of tomorrow? Nexus Horizon is at the forefront of innovation, building the platforms that will define the year 2026 and beyond. We are seeking a visionary Future-Ready Systems Architect to lead our advanced engineering initiatives.

In this role, you will bridge the gap between cutting-edge Artificial Intelligence, Quantum computing concepts, and scalable cloud infrastructure. You won't just be maintaining legacy systems; you will be designing the very fabric of our future technology stack. Join a team that thrives on ambiguity and pushes the boundaries of what is possible.

Why join us?

  • Work on projects that are 5-10 years ahead of the market.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with a collaborative San Francisco hub.

Responsibilities

  • Design and deploy highly scalable, fault-tolerant microservices architectures tailored for AI workloads.
  • Lead the integration of quantum-ready algorithms into our cloud infrastructure.
  • Define technical roadmaps for next-generation software development.
  • Collaborate with data scientists and ML engineers to optimize model inference latency.
  • Mentor a team of elite engineers and foster a culture of continuous innovation.
  • Ensure system security, compliance, and performance optimization.
  • Stay ahead of emerging technologies to predict and implement future-proof solutions.

Qualifications

  • 10+ years of experience in software architecture and full-stack development.
  • Deep expertise in Python, Go, or Rust, with a strong understanding of asynchronous systems.
  • Proven experience with Kubernetes, AWS, or Azure, specifically in high-throughput environments.
  • Familiarity with Large Language Models (LLMs) and Generative AI deployment patterns.
  • Experience with cloud-native technologies and event-driven architectures.
  • Strong problem-solving skills with the ability to navigate complex technical challenges.
  • Excellent communication skills to translate technical concepts for diverse stakeholders.

Required Skills

Python Go Rust Kubernetes AWS Azure AI/ML Microservices Cloud Architecture System Design Quantum Computing LLMs Docker

Ready to Take This Challenge?

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