Job Description
We are on the precipice of a technological revolution. As we look toward the horizon of 2026, QuantumHorizon is seeking a visionary 2026 AI Infrastructure Engineer to spearhead the deployment of our next-generation neural networks.
In this role, you won't just maintain legacy systems; you will architect the backbone of our future. We are building the platforms that will define the industry standards for the coming decade. If you are passionate about scalability, machine learning, and solving complex architectural challenges, this is your opportunity to leave a lasting legacy.
Responsibilities
- Design and implement scalable microservices architecture for high-throughput AI inference engines.
- Lead the migration to Kubernetes-based environments to ensure zero-downtime deployments.
- Optimize data pipelines using Apache Spark and Kafka for real-time model training.
- Collaborate with cross-functional teams to define technical specifications for 2026 roadmaps.
- Ensure enterprise-grade security and compliance for all cloud infrastructure assets.
- Drive automation initiatives to reduce deployment cycles and improve system reliability.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s preferred.
- 8+ years of experience in software engineering with a focus on distributed systems.
- Deep proficiency in Python, Go, and SQL.
- Extensive experience with AWS, GCP, or Azure (specifically Kubernetes/AWS EKS).
- Proven track record of deploying Machine Learning models to production at scale.
- Strong understanding of CI/CD pipelines and DevOps best practices.