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Information Technology 🏢 Full Time ⭐️ Verified

Senior 2026 Systems Architect

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Architecting the Future: Lead the 2026 Infrastructure Revolution

We are seeking a visionary Senior 2026 Systems Architect to spearhead our next-generation infrastructure initiatives. As the tech landscape evolves towards next-generation AI and spatial computing, your role will be pivotal in designing scalable, resilient, and future-proof ecosystems. Join Apex Horizon Systems and define the technical standards for the year 2026 and beyond.

Why Join Us?

  • Impactful Work: Build the backbone of the future digital economy.
  • Innovation First: Work with cutting-edge technologies including Quantum-ready Cloud Architectures.
  • Competitive Package: Top-tier compensation and equity packages for top-tier talent.

Key Responsibilities

  • Design and implement high-availability, scalable system architectures aligned with 2026 technological roadmaps.
  • Lead the migration of legacy infrastructure to next-generation distributed computing environments.
  • Define technical standards and best practices for AI-driven automation and edge computing.
  • Collaborate with cross-functional teams to integrate advanced AI models into core product workflows.
  • Conduct rigorous load testing and disaster recovery planning to ensure 99.99% uptime.
  • Stay ahead of emerging trends in Generative AI and Spatial Web technologies to drive product innovation.

Qualifications

  • 10+ years of experience in Systems Architecture, Cloud Engineering, or Software Engineering.
  • Deep expertise in distributed systems, microservices, and containerization technologies (Kubernetes, Docker).
  • Strong proficiency in programming languages such as Python, Rust, or Go.
  • Experience with AI/ML infrastructure deployment and optimization (e.g., TensorFlow, PyTorch on cloud platforms).
  • Proven track record of leading technical teams in a high-growth startup or enterprise environment.
  • Advanced degree in Computer Science, Engineering, or a related field (Master's or PhD preferred).

Responsibilities

  • Design and implement high-availability, scalable system architectures aligned with 2026 technological roadmaps.
  • Lead the migration of legacy infrastructure to next-generation distributed computing environments.
  • Define technical standards and best practices for AI-driven automation and edge computing.
  • Collaborate with cross-functional teams to integrate advanced AI models into core product workflows.
  • Conduct rigorous load testing and disaster recovery planning to ensure 99.99% uptime.
  • Stay ahead of emerging trends in Generative AI and Spatial Web technologies to drive product innovation.

Qualifications

  • 10+ years of experience in Systems Architecture, Cloud Engineering, or Software Engineering.
  • Deep expertise in distributed systems, microservices, and containerization technologies (Kubernetes, Docker).
  • Strong proficiency in programming languages such as Python, Rust, or Go.
  • Experience with AI/ML infrastructure deployment and optimization (e.g., TensorFlow, PyTorch on cloud platforms).
  • Proven track record of leading technical teams in a high-growth startup or enterprise environment.
  • Advanced degree in Computer Science, Engineering, or a related field (Master's or PhD preferred).

Required Skills

Systems Architecture Cloud Computing Kubernetes Python Rust AI/ML Infrastructure Distributed Systems Disaster Recovery Microservices Generative AI

Ready to Take This Challenge?

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