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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Infrastructure Engineer 2026

Nebula Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the systems that define the future of artificial intelligence? At Nebula Future Systems, we aren't just building software; we are building the digital infrastructure for the 2026 era. We are seeking a visionary Senior AI Infrastructure Engineer to lead our high-performance computing division. You will be at the intersection of software engineering and data science, ensuring our models are scalable, secure, and lightning-fast. Join a team of elite engineers solving problems that have never been solved before.

As a key member of our core engineering team, you will design and maintain the backbone of our AI ecosystem. We are looking for someone who thrives in ambiguity and possesses an innate ability to turn complex architectural challenges into elegant, high-performance solutions.

Responsibilities

  • Design and implement scalable microservices architecture optimized for high-throughput AI workloads.
  • Collaborate with data scientists to streamline the deployment and training of large-scale machine learning models.
  • Optimize database performance and data pipelines to handle petabyte-scale datasets efficiently.
  • Ensure system reliability, security, and fault tolerance across all cloud environments.
  • Conduct rigorous code reviews and mentor junior engineers to foster a culture of technical excellence.
  • Drive architectural decisions that align with long-term business goals and technological advancements.

Qualifications

  • Minimum of 5+ years of experience in software engineering, with a focus on backend systems and infrastructure.
  • Deep expertise in Python, Go, or C++, and experience with containerization tools like Docker and Kubernetes.
  • Strong understanding of distributed systems, message queues (Kafka, RabbitMQ), and database technologies (PostgreSQL, MongoDB).
  • Experience with cloud platforms (AWS, GCP, or Azure) and serverless architectures.
  • Familiarity with MLOps practices, CI/CD pipelines, and infrastructure as code (Terraform).
  • Bachelor’s degree in Computer Science, Engineering, or a related field.

Required Skills

Python Go Kubernetes AWS Docker Machine Learning Microservices CI/CD Terraform Distributed Systems

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