Job Description
Are you ready to architect the digital landscape of the future? Nexus 2026 Technologies is at the forefront of defining the technological standards for the coming decade. We are seeking a visionary Senior AI Infrastructure Engineer to join our elite team and build the robust, scalable systems that will power the world in 2026 and beyond.
In this pivotal role, you will bridge the gap between theoretical AI potential and practical, high-performance infrastructure. You will design and maintain the cloud-native environments that support our cutting-edge machine learning models. If you are passionate about scalability, security, and the future of computing, we want to hear from you.
Responsibilities
- Design and deploy scalable AI infrastructure using Kubernetes and container orchestration technologies.
- Optimize deep learning pipelines for high-throughput inference and training on large datasets.
- Implement robust CI/CD pipelines to ensure rapid, reliable deployment of model updates.
- Collaborate with data scientists and ML researchers to translate model requirements into technical infrastructure specifications.
- Ensure high availability, disaster recovery, and data security compliance across all infrastructure layers.
- Monitor system performance and implement proactive measures to handle scaling during peak loads.
Qualifications
- 5+ years of experience in software engineering or DevOps, with a focus on machine learning infrastructure.
- Strong proficiency in Python, Go, or Rust, and experience with cloud platforms (AWS, GCP, or Azure).
- Deep understanding of containerization technologies (Docker, Kubernetes) and microservices architecture.
- Experience with MLOps tools (MLflow, Kubeflow) and large-scale data processing frameworks (Apache Spark, Airflow).
- Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master’s degree is a plus.
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.