Job Description
Are you ready to architect the backbone of the future?
At Nexus 2026, we are not just predicting the future; we are building the infrastructure that will define it. As we transition into an era of ubiquitous artificial intelligence and decentralized systems, we are seeking a visionary AI Infrastructure Architect to lead our engineering efforts. In this pivotal role, you will design scalable, high-performance systems that integrate generative AI models with real-time data streams, ensuring our platform remains the gold standard for 2026 and beyond.
You will collaborate with cross-functional teams of data scientists, security experts, and frontend engineers to deploy robust solutions that handle petabytes of data while maintaining sub-millisecond latency. If you have a passion for pushing the boundaries of what is possible in cloud computing and machine learning, this is your chance to leave a lasting legacy.
Why Join Nexus 2026?
- Impactful Work: Build the foundational layers of a next-generation intelligence platform.
- Innovation: Work with cutting-edge tools including Rust, WebAssembly, and advanced GPU orchestration.
- Growth: Competitive equity package and continuous learning opportunities in a rapidly evolving niche.
Responsibilities
- Design and implement high-availability, distributed system architectures optimized for AI workloads and 2026-scale data demands.
- Lead the integration of Generative AI models into production environments, ensuring efficient inference and minimal latency.
- Collaborate with DevOps teams to establish CI/CD pipelines and automated deployment strategies for scalable microservices.
- Conduct rigorous code reviews and architectural assessments to ensure system security, reliability, and performance.
- Optimize database systems and caching layers to support real-time data processing and analytics.
- Mentor junior engineers and contribute to the technical roadmap, fostering a culture of excellence and innovation.
Qualifications
- 7+ years of experience in software engineering, with at least 3 years in a lead or architect role.
- Deep expertise in cloud platforms (AWS, Azure, or GCP) and containerization technologies (Kubernetes, Docker).
- Strong proficiency in programming languages such as Python, Go, or Rust, with experience in AI/ML frameworks (PyTorch, TensorFlow).
- Proven track record of designing systems that handle high concurrency and large-scale data processing.
- Experience with security best practices, including encryption, authentication, and authorization in distributed systems.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.