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Information Technology 🏢 Full Time ⭐️ Verified

Future Systems Architect - 2026 Roadmap

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to engineer the infrastructure of tomorrow?

Nexus Horizon Solutions is seeking a visionary Future Systems Architect to lead our 2026 roadmap. As we prepare to redefine the digital landscape, you will be at the forefront of integrating cutting-edge AI, quantum-ready cloud architecture, and next-gen cybersecurity protocols.

In this high-impact role, you won't just be maintaining systems; you will be architecting the foundation for the next decade of technological evolution. Join a team of elite engineers dedicated to solving the most complex challenges of the 2026 era.

Responsibilities

  • Architect Future-Proof Systems: Design and implement scalable, resilient infrastructure capable of supporting next-generation AI workloads and autonomous systems by 2026.
  • Lead the 2026 Roadmap: Define technical milestones and strategic initiatives that align with our five-year vision, ensuring seamless transition to emerging technologies.
  • Optimize Compute Infrastructure: Oversee the deployment of high-performance computing clusters and edge computing nodes to maximize efficiency and reduce latency.
  • Quantum-Ready Transition: Collaborate with research teams to integrate hybrid classical-quantum algorithms into our core production environment.
  • Security & Compliance: Spearhead the implementation of zero-trust security architectures and advanced encryption standards to protect critical data assets.
  • Team Mentorship: Lead a team of senior engineers, conducting code reviews, architectural walkthroughs, and fostering a culture of innovation.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field (PhD preferred).
  • Experience: 7+ years of experience in systems architecture, with a proven track record of leading large-scale technical transformations.
  • Technical Skills: Deep expertise in Python, Go, or Rust; proficiency with Kubernetes, Docker, and cloud platforms (AWS/Azure/GCP).
  • AI Integration: Hands-on experience with Machine Learning Ops (MLOps) and large language model (LLM) integration.
  • Future Tech Knowledge: Familiarity with quantum computing concepts, edge computing protocols, and Web3 technologies.
  • Leadership: Strong ability to communicate complex technical concepts to non-technical stakeholders and drive cross-functional collaboration.

Required Skills

System Architecture Python Kubernetes AWS Machine Learning MLOps Quantum Computing Cloud Infrastructure Cybersecurity Leadership

Ready to Take This Challenge?

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