Job Description
Shape the Future of Enterprise Technology
Nexus Horizon Systems is leading the charge into the 2026 era of digital transformation. We are seeking a visionary Senior Technical Architect to define the architectural backbone of our next-generation platform. This is an opportunity to work on cutting-edge infrastructure that integrates quantum-ready cloud environments with advanced AI-driven automation.
In this role, you will not just build software; you will engineer the systems that power the next decade of business innovation. You will lead a world-class engineering team in building scalable, secure, and high-performance solutions that redefine industry standards.
Why You’ll Thrive Here:
- Be at the forefront of the 2026 product roadmap, defining technical strategy.
- Work in a culture of innovation with top-tier talent.
- Competitive compensation package including equity and performance bonuses.
What You’ll Do:
As the Senior Technical Architect, you will be responsible for the end-to-end technical vision of the 2026 ecosystem. You will ensure that our systems are resilient, efficient, and prepared for the demands of a global user base.
Responsibilities
- System Design: Design and implement complex, scalable microservices architecture for the 2026 platform.
- Cloud Strategy: Lead the migration and optimization of infrastructure on AWS and Kubernetes, ensuring high availability and cost-efficiency.
- AI Integration: Architect pipelines that seamlessly integrate machine learning models into core business logic.
- Technical Leadership: Mentor senior engineers and conduct architecture reviews to maintain code quality and best practices.
- Stakeholder Collaboration: Translate business requirements into robust technical blueprints and communicate complex concepts to non-technical stakeholders.
- Security & Compliance: Oversee security protocols, ensuring full compliance with GDPR and SOC2 standards.
Qualifications
- Experience: 8+ years of experience in software architecture, with a focus on distributed systems and cloud-native technologies.
- Stack: Deep expertise in Kubernetes, Docker, Python, Go, or Java.
- AI/ML: Proven experience deploying and scaling AI/ML models in production environments.
- Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s preferred).
- Leadership: Demonstrated ability to lead cross-functional teams through complex technical challenges.
- Problem Solving: Exceptional analytical skills with a focus on performance optimization and scalability.