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Information Technology 🏢 Full Time ⭐️ Verified

Future-Ready Systems Architect (Project 2026) - San Francisco

Quantum Horizon Tech
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to architect the digital landscape of 2026?

At Quantum Horizon Tech, we are not just predicting the future; we are building it. We are seeking a visionary Future-Ready Systems Architect to spearhead our flagship Project 2026.

In this high-impact role, you will define the backbone of our next-generation infrastructure, integrating cutting-edge AI and quantum-ready protocols to ensure our platforms remain unparalleled in scalability and security.

Why Join Us?
We offer competitive compensation, equity packages, and the opportunity to work on projects that define the technological horizon. If you thrive in fast-paced environments and enjoy solving complex architectural challenges, this is your stage.

Responsibilities

  • Lead the end-to-end architectural design for scalable, fault-tolerant systems and services.
  • Define and implement the technical roadmap for Project 2026, ensuring alignment with long-term business goals.
  • Collaborate with cross-functional teams to integrate emerging technologies (e.g., GenAI, Edge Computing, Quantum Readiness) into core platforms.
  • Mentor senior engineers and foster a culture of technical excellence, innovation, and continuous improvement.
  • Conduct rigorous security audits, scalability stress tests, and risk assessments to maintain system integrity.
  • Translate complex technical requirements into clear, actionable plans for stakeholders.

Qualifications

  • Minimum of 10 years of experience in System Architecture and Software Engineering.
  • Deep expertise in cloud platforms (AWS, GCP, or Azure) and containerization (Kubernetes/Docker).
  • Proven track record of leading large-scale infrastructure migrations and modernization initiatives.
  • Strong understanding of microservices, event-driven architecture, and distributed systems.
  • Experience with AI/ML infrastructure deployment and optimization.
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

System Architecture Cloud Computing Kubernetes AWS Microservices Python Java AI/ML Infrastructure DevOps

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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