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Information Technology 🏢 Full Time ⭐️ Verified

Future-Ready AI Infrastructure Architect

Aether Systems Inc.
San Francisco
Estimated Salary
USD 190.000 – USD 300.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join the Vanguard of the 2026 Era. Aether Systems Inc. is pioneering the next generation of autonomous digital ecosystems. We are looking for a visionary AI Infrastructure Architect to design the robust, scalable backbone that powers our predictive algorithms and neural networks.

If you are passionate about the convergence of quantum computing, generative AI, and cloud scalability, this is your opportunity to shape the technological destiny of a Fortune 500 leader.

Responsibilities

  • Architect Neural Clouds: Design and deploy distributed computing architectures optimized for high-frequency machine learning inference and training.
  • Quantum-Edge Integration: Lead the integration of quantum-ready hardware protocols into our existing cloud infrastructure stack.
  • Autonomous System Oversight: Monitor and optimize the self-healing capabilities of our AI-driven data pipelines to ensure 99.999% uptime.
  • Security Protocol Evolution: Implement next-generation encryption and zero-trust security models to protect proprietary neural weights.
  • Performance Scaling: Drive architectural decisions that allow the platform to scale seamlessly from local edge devices to global cloud clusters.
  • Innovation Leadership: Collaborate with R&D to prototype and validate emerging technologies in AI and distributed systems.

Qualifications

  • Foundational Expertise: 8+ years of experience in Systems Engineering, DevOps, or Cloud Architecture with a focus on high-availability systems.
  • Core Technologies: Deep proficiency in Kubernetes, Docker, Python, and Rust, with hands-on experience serving Large Language Models (LLMs).
  • Certifications: AWS Solutions Architect Professional or Azure Certified: Solutions Expert.
  • Strategic Vision: Demonstrated ability to plan and execute technology roadmaps that align with long-term business objectives.
  • Problem Solving: Proven track record of resolving complex latency and throughput issues in distributed environments.
  • Communication: Excellent ability to articulate technical strategies to non-technical stakeholders and executive leadership.

Required Skills

Kubernetes Python AWS Machine Learning Docker Rust Cloud Architecture MLOps Terraform System Design

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