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2026 Infrastructure Architect | San Francisco, CA

OmniFuture Systems
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are at the precipice of the technological singularity, and we are looking for a visionary 2026 Infrastructure Architect to lead our roadmap. As we transition into the next era of computing, your role will be pivotal in designing the resilient, scalable, and intelligent frameworks that will power the world in 2026 and beyond.

In this high-impact role, you will bridge the gap between theoretical future-tech and practical application. You will architect the core neural-cloud infrastructure, ensuring our systems are not only efficient but future-proof for the post-silicon era. If you are obsessed with scalability, quantum-ready architecture, and the future of AI integration, we want to hear from you.

Responsibilities

  • Architect and deploy next-generation cloud infrastructure designed for the 2026 computing landscape.
  • Design quantum-resistant security protocols and decentralized data storage solutions.
  • Oversee the integration of autonomous AI agents into legacy systems with zero downtime.
  • Lead a team of elite engineers in the development of edge-computing nodes for global networks.
  • Define the technical roadmap for the company's transition to neural-network-driven architecture.
  • Conduct rigorous stress testing and simulations to validate system resilience against future threats.
  • Collaborate with product leaders to translate futuristic concepts into actionable technical specifications.

Qualifications

  • Master’s degree in Computer Science, Cybernetics, or a related field; PhD preferred.
  • Minimum of 8 years of experience in infrastructure architecture with a focus on AI and Cloud Computing.
  • Proven expertise in Kubernetes, Docker, and serverless computing architectures.
  • Deep understanding of quantum computing principles and post-quantum cryptography.
  • Experience implementing edge computing solutions in high-latency environments.
  • Strong leadership skills with a track record of managing cross-functional teams in fast-paced environments.
  • Familiarity with AI model deployment and MLOps pipelines.

Required Skills

Artificial Intelligence Cloud Architecture Quantum Computing Kubernetes Python MLOps Cybersecurity Edge Computing

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