Job Description
Are you ready to define the future of technology?
Nexus Horizon Labs is seeking a visionary Future Systems Architect to spearhead our 2026 strategic roadmap. We are on the cutting edge of quantum-ready computing and next-generation AI integration. In this role, you will not just maintain systems; you will architect the very fabric of our digital reality for the decade ahead.
Join a elite team of engineers, futurists, and designers building the infrastructure of tomorrow. You will have the autonomy to make high-stakes technical decisions and the resources to implement them at scale.
Why Join Us?
- Impact: Work on projects that will define the industry standard for 2026 and beyond.
- Equity: Competitive stock options in a high-growth startup.
- Flexibility: Hybrid work model based in our San Francisco innovation hub.
If you are obsessed with scalability, security, and the bleeding edge of tech, we want to meet you.
Responsibilities
- Lead the architectural design for the 2026 technology stack, ensuring seamless integration of AI and quantum-ready protocols.
- Define and execute the long-term technical roadmap, aligning infrastructure goals with business objectives.
- Oversee the migration of legacy systems to cloud-native environments, optimizing performance and reducing latency.
- Establish security standards and governance frameworks to protect proprietary data in decentralized networks.
- Mentor senior engineering teams and conduct technical architecture reviews to ensure code quality and scalability.
- Collaborate with product managers to translate futuristic concepts into actionable technical requirements.
- Drive innovation initiatives, prototyping new technologies before they hit the mainstream market.
Qualifications
- 10+ years of experience in Systems Architecture, Cloud Computing, or DevOps Engineering.
- Deep understanding of distributed systems, microservices architecture, and containerization technologies (Kubernetes, Docker).
- Expertise in programming languages such as Python, Go, Rust, or Java with a focus on high-performance computing.
- Strong background in AI infrastructure and machine learning pipeline optimization.
- Proven experience leading large-scale technical projects and cross-functional teams in a fast-paced environment.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
- Relevant certifications such as AWS Solutions Architect Professional or GCP Professional Cloud Architect.