Job Description
Are you ready to architect the infrastructure of tomorrow, today? Nexus Horizon Labs is seeking a visionary 2026 Horizon Systems Architect to lead our next-generation technology initiatives. In this pivotal role, you will define the architectural standards for our predictive AI platforms and quantum-ready cloud environments, ensuring our solutions are future-proof and scalable for the digital landscape of 2026 and beyond.
We are not just building software; we are engineering the future. Join a team of elite engineers and visionaries dedicated to solving humanity's most complex challenges through advanced technology.
Why Join Us?
- Work on cutting-edge predictive systems and autonomous infrastructure.
- Competitive salary and equity package in a high-growth tech hub.
- Flexible remote and hybrid work options in the heart of Silicon Valley.
- Unlimited PTO and professional development budget.
Responsibilities
- Design and oversee the implementation of high-availability, fault-tolerant system architectures aligned with 2026 technology standards.
- Lead the migration of legacy infrastructure to quantum-ready cloud environments.
- Develop and enforce coding standards, architectural patterns, and security protocols for the engineering team.
- Collaborate with data scientists to integrate machine learning models into real-time production pipelines.
- Conduct rigorous system performance testing and optimize neural network latency.
- Mentor senior engineers and junior developers, fostering a culture of innovation and technical excellence.
- Identify emerging technologies (AI, Edge Computing, Blockchain) and evaluate their integration potential.
Qualifications
- 10+ years of experience in Systems Architecture, with at least 5 years in a senior leadership role.
- Expert proficiency in Python, Rust, and Go programming languages.
- Deep understanding of Kubernetes, Docker, and microservices architecture.
- Proven experience with AI/ML infrastructure and large-scale data processing frameworks (e.g., TensorFlow, PyTorch).
- Strong knowledge of cloud platforms (AWS, Azure, or GCP) with a focus on serverless and edge computing.
- Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
- Master’s degree in Computer Science, Software Engineering, or a related technical field.