Job Description
Welcome to Nexus 2026, where we are architecting the digital reality of tomorrow. We are looking for a visionary Senior AI Infrastructure Engineer to lead our platform engineering efforts. In this pivotal role, you will bridge the gap between advanced machine learning models and scalable, resilient cloud infrastructure. You will ensure our systems can handle the immense data loads of the 2026 era, providing real-time insights to our global clients.
At Nexus 2026, we value innovation, speed, and precision. You will work in a dynamic environment that pushes the boundaries of what is possible in cloud computing and artificial intelligence. Join us in building the foundation for the future.
Responsibilities
- Design and implement scalable cloud infrastructure (AWS/Azure) to support high-traffic AI workloads.
- Collaborate with data scientists to optimize model deployment and reduce latency in real-time inference systems.
- Implement and manage Kubernetes clusters to ensure high availability and fault tolerance.
- Establish robust CI/CD pipelines to automate the delivery of software and AI models.
- Conduct regular security audits and performance tuning to ensure system integrity and speed.
- Lead technical initiatives to migrate legacy systems to modern, serverless architectures.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- 5+ years of experience as a Software Engineer or DevOps Engineer, with a focus on AI/ML infrastructure.
- Deep expertise in Python, Go, or Rust.
- Strong proficiency with Docker, Kubernetes, Terraform, and Cloud providers (AWS/GCP).
- Experience with MLOps tools (MLflow, Kubeflow) and big data technologies (Spark, Kafka).
- Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.