Job Description
Are you ready to define the next decade of technology? Nexus Horizon Labs is seeking a visionary Future Systems Architect to spearhead our infrastructure strategy for the 2026 roadmap. We are building the backbone of tomorrow, today, and we need a leader who can bridge the gap between current AI capabilities and the autonomous systems of the future.
In this pivotal role, you will design scalable, quantum-ready architectures and oversee the deployment of next-generation machine learning pipelines. If you thrive in ambiguity and want to shape the digital landscape of the near future, this is your opportunity to lead with impact.
Why Join Us?
- Work on cutting-edge AI and autonomous systems.
- Competitive compensation and equity package.
- Flexible remote-first culture with a focus on collaboration.
- Opportunity to define the technical standards for 2026 and beyond.
Responsibilities
- Architect and implement robust, scalable infrastructure for high-volume AI workloads, ensuring readiness for 2026 computing paradigms.
- Lead the technical roadmap for our cloud migration, focusing on Kubernetes orchestration and serverless technologies.
- Collaborate with data scientists and ML engineers to optimize model deployment and reduce latency.
- Enforce enterprise-level security protocols and data governance policies across distributed networks.
- Conduct regular technical audits to ensure system resilience and disaster recovery preparedness.
- Mentor a team of junior developers and engineers, fostering a culture of continuous innovation.
Qualifications
- 8+ years of experience in Systems Architecture, Cloud Engineering, or DevOps.
- Deep expertise in AWS, Azure, or Google Cloud Platform with a focus on AI infrastructure.
- Strong proficiency in Python, Go, and containerization technologies (Docker, Kubernetes).
- Experience implementing CI/CD pipelines and infrastructure as code (Terraform, Ansible).
- Excellent problem-solving skills with a proven track record of managing complex technical projects.
- Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.