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Information Technology 🏢 Full Time ⭐️ Verified

Horizon 2026 Systems Architect | Future-Ready Tech Lead | San Francisco, CA

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

We are Nexus Horizon Systems, a pioneer in next-generation digital infrastructure. As we accelerate towards the year 2026, we are seeking a visionary Horizon 2026 Systems Architect to design the scalable, AI-driven frameworks that will define the future of enterprise technology.

In this pivotal role, you won't just maintain legacy systems; you will architect the foundational architecture for the AI-native era. You will bridge the gap between theoretical future tech and practical application, ensuring our platforms are resilient, secure, and future-proof.

Why Join Us?

  • Future-First Focus: Work on projects that are specifically scoped for the 2026 technological landscape.
  • Global Impact: Your architecture will power digital solutions used by millions worldwide.
  • Competitive Compensation: $180k - $250k base salary plus equity package.

Responsibilities

  • Define and execute the technical roadmap for the 2026 product suite, focusing on AI integration and edge computing.
  • Design high-availability, scalable microservices architectures that support rapid global expansion.
  • Lead the migration to serverless and quantum-ready infrastructure components.
  • Collaborate with cross-functional teams (AI Engineers, Product Managers, Security Experts) to define technical requirements.
  • Implement rigorous security protocols and data governance frameworks to ensure compliance.
  • Mentor and upskill junior architects, fostering a culture of continuous innovation.
  • Conduct proof-of-concept (PoC) research for emerging technologies like Generative AI and decentralized ledgers.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years in a lead technical role.
  • Deep expertise in cloud platforms (AWS, GCP, or Azure) and containerization (Kubernetes, Docker).
  • Proficiency in modern programming languages such as Python, Go, or Rust.
  • Strong background in Machine Learning infrastructure and MLOps pipelines.
  • Experience with cybersecurity best practices and zero-trust architecture.
  • Excellent verbal and written communication skills, capable of translating complex technical concepts for diverse stakeholders.
  • Proven track record of delivering large-scale projects on time and within budget.

Required Skills

System Architecture AWS Kubernetes Python Go Machine Learning MLOps Cybersecurity Cloud Computing Microservices AI Engineering

Ready to Take This Challenge?

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