Job Description
Are you ready to architect the future of intelligent systems? Nexus Horizon Technologies is seeking a visionary Lead Architect to spearhead our elite "2026 Initiative"—a groundbreaking project dedicated to building next-generation autonomous AI frameworks.
In this pivotal role, you will define the technical roadmap for our most ambitious product launch, bridging the gap between theoretical quantum computing and practical neural network applications. You will work in a high-performance environment where innovation is not just encouraged but required. Join us in shaping the technological landscape of tomorrow, today.
Why Join Us?
- Work on cutting-edge technology with a clear path to commercialization.
- Competitive equity package and top-tier healthcare.
- Flexible remote-first culture with premium office amenities.
Key Objectives:
- Design scalable, fault-tolerant microservices architecture for the 2026 platform.
- Oversee the integration of large language models (LLMs) into real-time operational systems.
- Define and enforce technical standards and best practices across the engineering department.
- Lead architectural reviews and technical decision-making for complex system integrations.
- Collaborate closely with product management and data science teams to translate business goals into technical specifications.
Responsibilities
- Lead the end-to-end design of the 2026 core infrastructure, ensuring high availability and scalability.
- Drive the migration of legacy systems to modern cloud-native architectures (Kubernetes, AWS).
- Mentor senior and junior engineers, fostering a culture of technical excellence and continuous learning.
- Identify and mitigate technical risks early in the development lifecycle.
- Architect secure data pipelines to handle petabyte-scale datasets with low latency.
Qualifications
- 10+ years of experience in software architecture and system design.
- Strong proficiency in Python, Java, or Go, with deep knowledge of distributed systems.
- Experience with AI/ML model deployment (MLflow, TensorFlow Serving, Kubernetes).
- Proven track record of leading engineering teams and managing cross-functional projects.
- Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
- Familiarity with quantum computing concepts or advanced optimization algorithms is a major plus.