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Information Technology 🏢 Full Time ⭐️ Verified

Future Systems Architect (2026 Horizon)

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are pioneering the next era of digital evolution. Nexus Horizon is seeking a visionary Future Systems Architect (2026 Horizon) to lead the design and implementation of our flagship autonomous infrastructure.

In this pivotal role, you will bridge the gap between theoretical AI capabilities and tangible, scalable software solutions. You will be responsible for architecting systems that are not only robust today but are future-proofed for the technological landscape of 2026 and beyond.

If you are passionate about pushing the boundaries of what is possible in software engineering and have a keen eye for long-term architectural strategy, we want to hear from you.

Responsibilities

  • Lead the end-to-end architectural design for the 2026 product roadmap, ensuring scalability and resilience.
  • Collaborate with cross-functional teams of data scientists and engineers to integrate predictive AI models into core infrastructure.
  • Define technical standards, coding guidelines, and best practices to ensure high-quality software delivery.
  • Optimize existing systems for performance, security, and cost-efficiency in cloud environments.
  • Conduct code reviews and mentor junior developers to foster a culture of continuous improvement.
  • Stay ahead of emerging technologies and industry trends to recommend innovative solutions.

Qualifications

  • 5+ years of professional experience in Systems Architecture or Software Engineering with a focus on AI/ML.
  • Deep proficiency in programming languages such as Python, C++, or Rust.
  • Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong understanding of distributed systems, microservices architecture, and real-time data processing.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
  • Master's degree in Computer Science, Engineering, or a related field is preferred.

Required Skills

Systems Architecture Python Machine Learning Cloud Computing Kubernetes Docker AI Engineering Distributed Systems

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