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Information Technology 🏢 Full Time ⭐️ Verified

Future Systems Architect

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution. We're seeking a visionary Future Systems Architect to design the digital infrastructure that will power 2026 and beyond. This role demands a blend of strategic foresight, technical mastery, and innovative problem-solving to build scalable solutions for tomorrow's challenges. You'll collaborate with cross-functional teams to architect next-generation platforms, ensuring our systems remain adaptive, secure, and future-proof in an era of unprecedented technological change.

Responsibilities

  • Design and implement scalable, resilient system architectures for 2026-era applications and services
  • Lead cross-functional teams in developing AI-integrated automation frameworks
  • Conduct cutting-edge research in emerging technologies (quantum computing, neuromorphic systems)
  • Create forward-looking roadmaps aligning technical capabilities with market demands
  • Establish governance protocols for ethical AI deployment and data sovereignty
  • Optimize hybrid-cloud infrastructures for zero-latency global operations
  • Mentor junior architects in next-gen development methodologies

Qualifications

  • 10+ years in enterprise architecture with proven experience in large-scale distributed systems
  • Expertise in cloud-native architectures (AWS/GCP/Azure) and container orchestration
  • Deep knowledge of AI/ML integration patterns and ethical AI frameworks
  • Strong background in quantum computing fundamentals or neuromorphic engineering
  • Certified in TOGAF or SABSA architecture frameworks
  • Experience leading technical transformation initiatives in regulated industries
  • PhD or equivalent in Computer Science/Systems Engineering preferred

Required Skills

Cloud Architecture AI/ML Integration Quantum Computing TOGAF AWS/GCP/Azure Distributed Systems Neuromorphic Engineering Ethical AI

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