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Information Technology 🏢 Full Time ⭐️ Verified

Senior Architect: 2026 Strategic Infrastructure | San Francisco, CA

Nexus Horizon
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are the architects of tomorrow, building the foundational layers of the digital reality we will inhabit in 2026. Nexus Horizon is seeking a visionary Senior Architect: 2026 Strategic Infrastructure to lead our core technology roadmap. If you thrive on solving complex, forward-looking problems and are passionate about shaping the technological landscape of the near future, this is your opportunity to leave a lasting impact.

In this pivotal role, you will bridge the gap between theoretical future-tech and practical, scalable engineering. You will define the architecture for next-generation AI integration, autonomous systems, and quantum-ready cloud infrastructure. Join us in defining the standard for 2026.

Responsibilities

  • Define the 2026 Roadmap: Lead the strategic vision for technology infrastructure, ensuring our systems are future-proof for the 2026 era and beyond.
  • Architect Scalable Systems: Design and oversee the implementation of microservices and distributed systems capable of handling exponential data growth.
  • AI & Automation Integration: Spearhead the integration of generative AI models into core business workflows to drive efficiency and innovation.
  • Cross-Functional Leadership: Collaborate with product managers, engineers, and security experts to translate business goals into technical blueprints.
  • Quantum Readiness: Evaluate and integrate emerging quantum computing protocols into our long-term data strategy.
  • Code Governance: Establish and enforce architectural standards, coding best practices, and security protocols across the engineering team.

Qualifications

  • Experience: 10+ years of experience in software architecture, with at least 5 years in a senior leadership role.
  • Technical Stack: Deep expertise in Python, Go, Rust, and cloud-native technologies (AWS, GCP, Azure).
  • AI Proficiency: Proven track record of integrating Large Language Models (LLMs) and machine learning pipelines into production environments.
  • Problem Solving: Exceptional ability to navigate ambiguity and solve complex system design challenges.
  • Communication: Superior verbal and written communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred).

Required Skills

System Architecture Cloud Computing (AWS/GCP) AI/ML Integration Python Go Rust Microservices Quantum Computing Strategic Leadership

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