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Information Technology 🏢 Full Time ⭐️ Verified

Senior Future Systems Architect (Year 2026 Roadmap)

Chronos Advanced Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join the Visionaries. Chronos Advanced Technologies is at the forefront of defining the technological landscape for the Year 2026. We are seeking a visionary Senior Future Systems Architect to lead the development of next-generation infrastructure, autonomous systems, and predictive AI frameworks. If you are passionate about building the foundation for tomorrow's world, we want to hear from you.

As a key member of our R&D division, you will bridge the gap between theoretical research and practical application, ensuring our systems are scalable, secure, and ahead of the curve.

Responsibilities

  • Architect and implement scalable software systems aligned with the 2026 technological roadmap, including quantum-ready infrastructure and edge computing nodes.
  • Lead the design of autonomous decision-making algorithms and predictive models for complex industrial applications.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to define technical specifications and deliver high-impact solutions.
  • Conduct rigorous code reviews and performance optimization to ensure system reliability under high load.
  • Mentor junior architects and engineers, fostering a culture of continuous learning and innovation.
  • Stay abreast of emerging technologies in the AI and distributed systems space to inform architectural decisions.
  • Document technical architecture and system architecture diagrams for stakeholder transparency.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field.
  • Minimum of 7 years of experience in systems architecture, software engineering, or a related technical role.
  • Deep expertise in Python, C++, and cloud-native architectures (AWS, Azure, or GCP).
  • Experience with machine learning frameworks (TensorFlow, PyTorch) and large language models (LLMs).
  • Strong understanding of cybersecurity principles and distributed ledger technologies.
  • Proven ability to lead technical projects from conception to deployment.
  • Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences.

Required Skills

System Architecture Python C++ Machine Learning Cloud Computing AWS Azure Cybersecurity AI/ML Distributed Systems Agile Methodologies

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