Job Description
At Nexus Horizon, we are not just building software; we are architecting the future. We are seeking a visionary Senior Future Tech Architect to lead our strategic 2026 roadmap. In this high-impact role, you will be responsible for designing the foundational infrastructure that will support our next generation of AI-driven solutions and sustainable computing platforms.
As a key member of our innovation lab, you will bridge the gap between emerging technologies and business requirements. You will have the autonomy to experiment with cutting-edge toolsâfrom Generative AI frameworks to edge computing architecturesâwhile ensuring robust security, scalability, and performance.
Join us in shaping the digital landscape of tomorrow, today.
Responsibilities
- Architect and define the technical vision for the companyâs 2026 product roadmap, focusing on AI integration and cloud scalability.
- Lead the design of complex, distributed systems that can handle millions of transactions with zero downtime.
- Collaborate with product managers and engineering teams to translate high-level business requirements into technical specifications.
- Oversee the migration of legacy monoliths to modern, microservices-based architectures.
- Establish best practices for DevOps, CI/CD pipelines, and automated testing to accelerate delivery cycles.
- Evaluate and prototype emerging technologies to determine their viability for future implementation.
- Provide technical mentorship to junior engineers and conduct architecture reviews to ensure code quality and compliance.
Qualifications
- 10+ years of experience in software architecture, system design, or a related technical discipline.
- Deep expertise in cloud platforms (AWS, Azure, or GCP) and containerization technologies (Kubernetes, Docker).
- Strong proficiency in programming languages such as Python, Go, or Java.
- Proven experience integrating Artificial Intelligence and Machine Learning models into production environments.
- Experience with event-driven architecture, message queues, and real-time data processing.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.
- Masterâs degree in Computer Science, Engineering, or a related field is a plus.