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Information Technology 🏒 Full Time ⭐️ Verified

Future-Proof Systems Architect (2026 Vision)

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

We are looking for a visionary Future-Proof Systems Architect to join Nexus Horizon. As we prepare for the technological paradigm shift of 2026, we need a strategic leader who can design resilient, scalable, and intelligent infrastructure. You will bridge the gap between theoretical AI capabilities and practical, high-performance engineering solutions. This is an opportunity to shape the backbone of the next generation of digital ecosystems.

Why Join Us?

  • Work with cutting-edge AI and Quantum-Ready frameworks.
  • Shape the strategic roadmap for 2026 and beyond.
  • Competitive equity package and top-tier benefits.
  • Work in a culture of innovation and autonomy.

Responsibilities

  • Design and architect end-to-end system solutions that are scalable, secure, and future-proof for 2026 standards.
  • Lead the integration of advanced Artificial Intelligence and Machine Learning models into core infrastructure.
  • Define the technical vision and roadmap in collaboration with C-level executives and product teams.
  • Optimize legacy systems for modern cloud-native environments (AWS/Azure/GCP).
  • Mentor senior engineering teams and drive best practices in code quality and architecture.
  • Conduct feasibility studies for emerging technologies (e.g., Spatial Computing, Edge AI).
  • Collaborate with cross-functional teams to deliver high-impact products on tight deadlines.

Qualifications

  • 10+ years of experience in software engineering, system architecture, or related technical leadership roles.
  • Deep expertise in cloud architecture (AWS, Azure, or Google Cloud Platform).
  • Strong proficiency in Python, Go, Rust, or TypeScript.
  • Proven track record of integrating AI/ML models into production environments.
  • Experience with containerization and orchestration (Kubernetes, Docker).
  • Excellent problem-solving skills and ability to navigate ambiguity in fast-paced environments.
  • Master’s degree in Computer Science, Engineering, or a related field is preferred.

Required Skills

System Architecture AI Integration Cloud Computing Python Go Kubernetes Machine Learning Scalability DevOps

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