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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Infrastructure Engineer

Nexus 2026 Innovations
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are pioneering the technological frontier, aiming to redefine the digital landscape by 2026. Nexus 2026 Innovations is seeking a visionary Senior AI Infrastructure Engineer to architect scalable, resilient, and intelligent systems that power our next-generation applications.

In this pivotal role, you will serve as the bridge between cutting-edge AI research and robust production infrastructure. You will lead initiatives to deploy machine learning models at scale, optimize cloud costs, and ensure data integrity across our global network. If you are passionate about building the future of intelligent systems and thrive in a dynamic, high-impact environment, we want to meet you.

Why join Nexus 2026?

  • Competitive compensation package with equity opportunities.
  • Flexible remote-first work culture.
  • Access to state-of-the-art hardware and cloud resources.

Responsibilities

  • Design and implement end-to-end MLOps pipelines for model training, validation, and deployment.
  • Architect high-availability cloud infrastructure (AWS/GCP) optimized specifically for AI and ML workloads.
  • Collaborate closely with data scientists and researchers to translate experimental models into production-ready software.
  • Implement comprehensive monitoring, logging, and alerting systems to maintain system health and performance.
  • Optimize database performance and data pipelines for real-time processing and large-scale data ingestion.
  • Drive technical decisions regarding system security, scalability, and cost-efficiency.

Qualifications

  • 5+ years of experience in software engineering, with a strong focus on DevOps, infrastructure, and cloud architecture.
  • Strong proficiency in Python, Go, or Rust.
  • Expertise in containerization technologies (Docker, Kubernetes) and orchestration.
  • Deep understanding of machine learning frameworks (TensorFlow, PyTorch) and model serving technologies (TorchServe, TensorFlow Serving).
  • Experience with major cloud providers (AWS, GCP, or Azure) and their managed AI services.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python AWS Kubernetes MLOps Machine Learning Docker Cloud Architecture TensorFlow DevOps

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