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Information Technology 🏢 Full Time ⭐️ Verified

Future Systems Architect | San Francisco, CA

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

Job Description

Join Nexus Horizon, a leader in next-generation technology, as a Future Systems Architect. We are building the infrastructure for the year 2026 and beyond, and we need a visionary engineer to define the blueprint.

In this role, you will be responsible for architecting scalable, secure, and intelligent systems that integrate cutting-edge AI and quantum-ready capabilities. You will lead the technical strategy that drives our most ambitious projects forward.

Responsibilities

  • Design Future-Ready Architecture: Lead the design and implementation of robust systems capable of handling next-generation AI workloads and data volumes.
  • Technical Strategy: Develop and communicate a clear technical roadmap aligned with the company’s vision for the 2026 timeframe.
  • AI Integration: Oversee the deployment and optimization of machine learning models and neural networks within our core infrastructure.
  • Cloud & DevOps Leadership: Manage cloud migration strategies and ensure high availability, security, and performance across all environments.
  • Team Mentorship: Foster a culture of technical excellence by mentoring junior engineers and conducting code reviews.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Experience: 8+ years of experience in systems architecture, cloud engineering, or software development.
  • Technical Stack: Expert proficiency in Python, Kubernetes, Docker, and major cloud providers (AWS, Azure, or GCP).
  • AI Expertise: Strong background in AI/ML frameworks (TensorFlow, PyTorch) and big data processing.
  • Strategic Vision: Ability to translate abstract business goals into concrete, scalable technical solutions.

Required Skills

Artificial Intelligence Machine Learning Systems Architecture Python Kubernetes Cloud Computing DevOps Big Data

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