Must Have: 5-8 Years of relevant experience Hands-on experience with cloud platforms -GCP Experience with data lake, data pipeline, and distributed systems architecture Experience building scalable AI/ML pipelines and services Strong DevOps, MLOps, and CI/CD skills Pluses: Familiarity with containerization (Docker, Kubernetes) Experience working with Video, Audio or AI Products Experience with Python, Rust, or C++ Bachelor’s degree in related field Responsibilities: Architect and implement cloud-based solutions tailored for large-scale AI applications and data pipelines. Ensure the ongoing reliability, performance, and scalability of cloud infrastructure. Continuously monitor and optimize system performance to meet the demands of AI workloads. Develop strategies to scale infrastructure efficiently as data and application requirements grow. Implement robust security measures and ensure compliance with industry standards and regulations. Day to Day: One of Insight Global clients is looking for a Sr Cloud Engineer to come join their team. This individual will design and maintain cloud infrastructure for large-scale AI applications, ensuring efficient data flow through well-maintained pipelines. They will continuously monitor system performance to identify and address bottlenecks, optimizing the infrastructure to handle AI workloads effectively. Additionally, they will plan and implement strategies to scale the infrastructure based on AI application needs, adjusting resource allocation to manage varying workloads. They will work closely with team members to develop and implement cutting-edge technologies for a security company. Expected pay for the position is between $55 and $81/hr depending on level of experience!