Job Description
Shape the Future of Enterprise Technology.
At Horizon Dynamics, we are not merely adapting to the future; we are architecting it. We are looking for a visionary Future Systems Architect to spearhead our Year 2026 initiative. This is a high-impact role where you will design the infrastructure that powers the next generation of global connectivity.
In this position, you will bridge the gap between cutting-edge research and scalable production environments. You will be responsible for building resilient, AI-integrated systems that are ready for the demands of the year 2026 and beyond.
Why Join Us?
- Work on mission-critical projects that define industry standards.
- Competitive compensation package with equity opportunities.
- Flexible work environment and comprehensive benefits.
What You Will Do:
Lead the architectural vision for our next-gen cloud infrastructure, ensuring seamless scalability and security. You will collaborate with elite engineering teams to implement quantum-ready protocols and advanced AI-driven automation tools.
Responsibilities
- Strategic Planning: Design and implement a comprehensive architectural roadmap for the Year 2026 transition, aligning technical strategies with business goals.
- System Design: Architect high-availability, distributed systems using microservices and serverless computing models.
- AI Integration: Lead the integration of Generative AI and Large Language Models (LLMs) into core enterprise workflows.
- Cloud Mastery: Optimize cloud infrastructure on AWS and Azure, focusing on cost-efficiency and performance.
- Cross-Functional Leadership: Mentor senior engineers and collaborate with product managers to define technical requirements.
- Security & Compliance: Enforce rigorous security protocols and ensure 100% compliance with global data regulations.
Qualifications
- Experience: 10+ years of experience in Systems Architecture, DevOps, or Cloud Engineering.
- Technical Skills: Proficiency in Python, Go, or Rust; deep knowledge of Kubernetes and Docker.
- Cloud Expertise: Certification in AWS Solutions Architect or Azure Solutions Expert.
- AI Knowledge: Hands-on experience with AI/ML frameworks and model deployment pipelines.
- Problem Solving: Exceptional ability to troubleshoot complex, multi-layered technical issues.
- Communication: Strong verbal and written communication skills for executive-level reporting.