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Information Technology 🏒 Full Time ⭐️ Verified

2026 Horizon Systems Architect

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

We are not building for today; we are architecting the infrastructure of tomorrow. Nexus Future Labs is seeking a visionary 2026 Horizon Systems Architect to lead our R&D division in defining the technological landscape for the next decade.

In this high-impact role, you will bridge the gap between visionary concepts and deployable code. You will design scalable, resilient systems capable of handling the unprecedented data loads and AI integration expected by the year 2026. If you are passionate about pushing the boundaries of what is possible in software engineering and want to define the future of technology, we want to hear from you.

Why Join Us?

  • Work on projects that will define the industry standard for the next five years.
  • Competitive equity package and top-tier compensation.
  • Flexible remote-first culture with headquarters in the heart of SF.

Responsibilities

  • Define and execute the technical roadmap for systems capable of supporting 2026-level AI and quantum computing requirements.
  • Lead the architectural design of microservices and distributed systems ensuring zero-trust security models.
  • Oversee the migration to cloud-native infrastructure optimized for edge computing and IoT convergence.
  • Collaborate with product leaders to translate futuristic market needs into concrete technical specifications.
  • Drive innovation in predictive maintenance algorithms and autonomous system logic.
  • Mentor a team of senior engineers, fostering a culture of technical excellence and rapid prototyping.

Qualifications

  • Master’s degree in Computer Science, Systems Engineering, or a related technical field.
  • 10+ years of progressive experience in systems architecture, with at least 3 years in a lead or architect role.
  • Deep expertise in high-scale cloud platforms (AWS, Azure, or GCP) and containerization technologies (Kubernetes, Docker).
  • Strong understanding of AI/ML pipeline integration and big data processing frameworks (Spark, Kafka).
  • Proven experience in designing fault-tolerant systems and disaster recovery strategies.
  • Exceptional problem-solving skills with a focus on scalability and performance optimization.

Required Skills

System Architecture AI Integration Cloud Computing Kubernetes Python Machine Learning Cloud Native DevOps Scalability

Ready to Take This Challenge?

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