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Information Technology 🏢 Full Time ⭐️ Verified

Future Systems Architect (2026) - San Francisco, CA

Nexus Core Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

We are seeking a visionary Future Systems Architect to define the technological roadmap for the year 2026 and beyond. As the digital landscape evolves, Nexus Core is committed to building infrastructure that anticipates the next wave of innovation.

In this role, you will design robust, scalable systems capable of supporting advanced AI integration and quantum computing paradigms. You will be the architect of our long-term digital strategy, ensuring our platforms remain secure, efficient, and future-proof.

Responsibilities

  • Design and implement the architectural blueprint for 2026-ready infrastructure, ensuring high scalability and security.
  • Lead the migration of legacy systems to next-generation cloud environments.
  • Collaborate with data scientists and AI engineers to integrate predictive models into core workflows.
  • Conduct rigorous risk assessments and implement mitigation strategies for emerging technological threats.
  • Oversee the deployment of quantum-safe encryption protocols and edge computing solutions.
  • Act as a technical thought leader, driving R&D initiatives for future tech trends.

Qualifications

  • 10+ years of experience in systems architecture, software engineering, and cloud computing.
  • Proven track record of leading large-scale digital transformation and system modernization projects.
  • Strong proficiency in Python, Go, and cloud-native technologies (AWS, Azure, or GCP).
  • Deep understanding of AI/ML pipeline integration and big data analytics.
  • Master's degree in Computer Science, Systems Engineering, or a related technical field.
  • Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python Systems Architecture Cloud Computing AI/ML Quantum Computing DevOps Big Data Cloud Migration

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