Job Description
QuantumLeap Systems is pioneering the next generation of autonomous infrastructure. We are currently recruiting a visionary Senior AI Infrastructure Engineer to join our elite Project 2026 team. This is a high-impact role focused on architecting scalable, fault-tolerant systems that will redefine operational efficiency for enterprise clients.
As part of Project 2026, you will bridge the gap between cutting-edge machine learning models and robust backend engineering. If you thrive in a fast-paced, innovative environment and want to leave a legacy in the tech industry, we want to hear from you.
Responsibilities
- Architect and implement high-availability distributed systems for Project 2026.
- Optimize large-scale data pipelines and reduce latency in real-time inference environments.
- Collaborate with data scientists and ML engineers to deploy and monitor production models.
- Define technical strategies and best practices for cloud infrastructure (AWS/Azure/GCP).
- Mentor junior engineers and conduct code reviews to ensure architectural integrity.
- Drive automation initiatives to improve deployment pipelines and CI/CD workflows.
Qualifications
- Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
- 10+ years of professional software engineering experience with a focus on distributed systems.
- Deep expertise in Python, Go, or Rust.
- Strong proficiency in containerization technologies (Docker, Kubernetes) and orchestration.
- Experience with cloud-native services and serverless architectures.
- Proven track record of leading technical teams and managing complex projects.