Job Description
Are you ready to architect the digital landscape of tomorrow? Nebula Core Systems is pioneering the next generation of artificial intelligence infrastructure. We are seeking a visionary AI Infrastructure Architect to lead our engineering efforts, ensuring our systems are scalable, secure, and ready for the exponential growth of AI agents by 2026.
In this role, you will bridge the gap between cutting-edge machine learning models and robust, high-performance cloud architecture. You won't just be maintaining servers; you will be building the nervous system of the autonomous AI era.
Why Join Us?
- Work on projects that define the future of technology.
- Competitive compensation and equity packages.
- Flexible remote-first culture with HQ in San Francisco.
Responsibilities
- Design and implement scalable microservices architectures optimized for high-throughput AI workloads and inference.
- Lead the migration and optimization of data pipelines to support generative AI and LLM deployments.
- Oversee infrastructure security, ensuring compliance with SOC2 and ISO 27001 standards.
- Collaborate with ML researchers to translate model requirements into efficient hardware and software configurations.
- Drive the adoption of serverless computing and edge computing to reduce latency.
- Establish best practices for CI/CD pipelines and automated scaling.
Qualifications
- 10+ years of experience in software engineering, DevOps, or Systems Architecture.
- Deep expertise in cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes).
- Strong proficiency in Python, Go, or Rust.
- Experience deploying and managing Large Language Models (LLMs) in production environments.
- Proven track record of leading engineering teams through complex digital transformations.
- Excellent problem-solving skills and ability to work in a fast-paced, agile environment.