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Information Technology 🏢 Full Time ⭐️ Verified

Future Systems Architect | Horizon 2026 | San Francisco, CA

Quantum Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Shape the Infrastructure of the Future

Quantum Horizon Labs is looking for a visionary Future Systems Architect to spearhead our Horizon 2026 initiative. As we prepare to deploy the next generation of AI-driven distributed systems, we need a leader who can design resilient, scalable architectures that define the technological landscape of 2026 and beyond.

Join a team of pioneers building the digital backbone for tomorrow’s innovations. You will have the autonomy to architect solutions that transcend current limitations, integrating quantum-ready cloud environments with cutting-edge machine learning frameworks.

Responsibilities

  • Architect and design high-availability, fault-tolerant systems for the 2026 product roadmap, with a focus on quantum computing readiness.
  • Define technical standards and best practices for microservices, containerization, and serverless computing.
  • Lead cross-functional engineering teams in the end-to-end delivery of complex technical projects, ensuring alignment with business goals.
  • Conduct deep architectural reviews and code assessments to drive technical excellence and innovation.
  • Identify and evaluate emerging technologies (e.g., AI, Web3, Edge Computing) to integrate into our core infrastructure.
  • Develop robust data pipelines and real-time processing strategies to support predictive analytics.
  • Collaborate with product managers and stakeholders to translate complex requirements into scalable technical solutions.

Qualifications

  • 10+ years of experience in software architecture, with a proven track record of leading large-scale distributed systems.
  • Expert proficiency in high-level languages such as Python, Go, or Rust.
  • Deep expertise in cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).
  • Strong background in AI/ML infrastructure, MLOps, and data engineering.
  • Experience with cybersecurity best practices and zero-trust architectures.
  • Exceptional problem-solving skills and the ability to thrive in ambiguous, fast-paced environments.
  • Strong communication skills, capable of articulating complex technical concepts to non-technical leadership.

Required Skills

Python Go Rust AWS Kubernetes Docker System Design AI/ML Microservices Cloud Architecture MLOps

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