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Senior Future Tech Architect | Project 2026 (San Francisco)

Nebula 2026
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Mei 2026
Deadline
30 Mei 2027

Job Description

Join the Visionaries of 2026
We are on the precipice of a technological renaissance. Nebula 2026 is pioneering the infrastructure for the next generation of intelligent systems. We are looking for a visionary Senior Future Tech Architect to lead the architectural design of our core platform, ensuring scalability, security, and innovation for the years to come.

In this role, you will not just build software; you will define the blueprint for the future. You will collaborate with world-class engineers, data scientists, and product strategists to deliver solutions that solve complex problems before they arise.

Why Nebula 2026?
* Be at the forefront of the AI revolution.
* Competitive equity and top-tier compensation.
* Flexible remote-first culture with premium office amenities in SF.

Responsibilities

  • Lead the end-to-end architectural design of scalable distributed systems tailored for 2026 standards.
  • Define technical roadmaps and ensure alignment with the company's long-term vision and 2026 product milestones.
  • Implement robust security protocols and data privacy frameworks to protect sensitive intellectual property.
  • Mentor junior engineers and conduct technical reviews to foster a culture of excellence and continuous learning.
  • Optimize system performance and latency, ensuring a seamless user experience across global markets.
  • Bridge the gap between theoretical research and practical engineering implementation.

Qualifications

  • 10+ years of professional experience in software architecture and system design.
  • Deep expertise in cloud-native technologies (AWS, GCP, or Azure) and container orchestration (Kubernetes).
  • Strong proficiency in modern programming languages such as Python, Go, or Rust.
  • Proven track record of leading high-performance teams through complex, large-scale deployments.
  • Experience with AI/ML infrastructure and edge computing is a significant plus.
  • Master’s degree in Computer Science, Engineering, or a related technical field is preferred.

Required Skills

System Architecture Cloud Computing Kubernetes Python Go AWS GCP AI Infrastructure Distributed Systems Cybersecurity Agile Methodologies

Ready to Take This Challenge?

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