Job Description
We are currently seeking a visionary Senior AI Infrastructure Engineer to join our elite Project 2026 initiative. At Nexus Core Systems, we are building the next generation of scalable, high-performance computing architectures designed to power the future of enterprise AI. If you are passionate about optimizing distributed systems, deploying large-scale machine learning models, and architecting resilient cloud environments, this is your opportunity to shape the future.
Why Join Us?
- Impactful Work: Directly contribute to the core infrastructure that will serve millions of users.
- Modern Stack: Work with the latest in Kubernetes, Python, and GPU orchestration.
- Flexible Environment: Hybrid work model with a focus on results and innovation.
Join us in defining the standards for 2026 and beyond.
Responsibilities
- Architect and deploy highly scalable microservices and data pipelines for the Project 2026 ecosystem.
- Optimize LLM inference performance and reduce latency across distributed GPU clusters.
- Implement robust security protocols and compliance standards (SOC2, GDPR) for sensitive data.
- Collaborate with data science teams to translate model requirements into production-ready infrastructure.
- Monitor system health, conduct root-cause analysis, and implement auto-scaling solutions to ensure 99.99% uptime.
- Drive technical strategy discussions and mentor junior engineers in best practices for cloud-native development.
Qualifications
- 5+ years of experience in backend engineering or DevOps with a focus on AI/ML infrastructure.
- Deep knowledge of Kubernetes, Docker, and container orchestration (AWS EKS, GCP GKE, or Azure AKS).
- Proficiency in Python, Go, or Java, with experience building RESTful APIs.
- Strong understanding of distributed systems, message queues (Kafka, RabbitMQ), and database technologies (PostgreSQL, MongoDB).
- Experience with CI/CD pipelines (Jenkins, GitLab CI) and Infrastructure as Code (Terraform, Ansible).
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.