Job Description
Shape the Infrastructure of the Future
Are you ready to define the technological landscape of 2026? Join Nexus Horizon as a Future Systems Architect and lead the charge in designing resilient, scalable, and intelligent systems. We are seeking a visionary engineer who thrives at the intersection of artificial intelligence, machine learning, and high-performance computing. You will define the architectural standards for our next-generation platforms, ensuring they are robust, secure, and ready for the demands of a rapidly evolving digital landscape.
Why Join Us?
- Work on cutting-edge AI integration projects that redefine industry standards.
- Competitive compensation package including equity opportunities.
- Remote-first culture with flexible work hours and a focus on work-life balance.
- Access to top-tier tools and resources for continuous learning.
Responsibilities
- Design and implement robust microservices architectures using Python, Go, and Rust to support high-volume AI workloads.
- Lead the strategic migration of legacy systems to cloud-native infrastructure, optimizing for performance and cost efficiency.
- Collaborate closely with data science teams to deploy and scale Large Language Models (LLMs) in production environments.
- Conduct rigorous code reviews and architectural reviews to ensure security compliance and engineering excellence.
- Develop long-term technology roadmaps, focusing on 2026 trends such as quantum-ready algorithms and edge computing.
- Mentor junior engineers and foster a culture of innovation and technical excellence.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in a senior architectural role.
- Deep expertise in Python, Go, or Rust, with a strong understanding of distributed systems and concurrency.
- Proven track record of integrating AI/ML models into scalable, high-availability web applications.
- Strong knowledge of major cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
- Master’s degree in Computer Science, Engineering, or a related field is preferred.