Job Description
Are you ready to architect the digital landscape of 2026? Nebula Future Tech is seeking a visionary Future Systems Architect to lead our transition into a post-quantum, AI-driven era. We are not just building for today; we are engineering the resilient infrastructure required for the next generation of technology.
In this pivotal role, you will bridge the gap between cutting-edge AI models and hardware scalability, ensuring our systems are '2026 Ready' against emerging quantum threats and generative AI demands. You will work in a high-performance environment that values innovation, security, and forward-thinking architecture.
Why Join Us?
- Impactful Work: Architect the backbone of the future internet.
- Competitive Compensation: Base salary $180k - $250k plus equity.
- Future-Proofing: Work with technologies that will define the next decade.
- Flexible Environment: Hybrid work model based in the heart of Silicon Valley.
Responsibilities
- Architect '2026 Ready' Systems: Design scalable, fault-tolerant infrastructure capable of handling the exponential growth of generative AI and post-quantum computing workloads.
- Quantum Security Integration: Implement and manage cryptographic protocols that ensure data integrity against quantum decryption threats.
- AI-Driven Optimization: Leverage machine learning to predict system bottlenecks and automate infrastructure scaling dynamically.
- Cross-Functional Leadership: Collaborate with data scientists and security engineers to integrate AI models into secure, robust production environments.
- Disaster Recovery Planning: Develop comprehensive strategies for catastrophic failure scenarios, ensuring business continuity for critical 2026 infrastructure.
- Technical Strategy: Stay ahead of industry trends, evaluating new technologies (e.g., neuromorphic computing) to integrate into our core architecture.
Qualifications
- Experience: 10+ years of experience in systems architecture, with at least 5 years in a leadership capacity within a high-scale tech environment.
- Quantum Knowledge: Demonstrated understanding of post-quantum cryptography and readiness for the Q-Day transition.
- Programming: Proficiency in Python, Go, or Rust; deep familiarity with Kubernetes, Docker, and cloud-native architectures.
- AI Integration: Strong background in integrating Large Language Models (LLMs) into production systems with a focus on latency and cost efficiency.
- Security Clearance: Deep knowledge of Zero Trust architecture and cloud security best practices.
- Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.