The AIOps Engineer will join the Channel Sales and Operations team and work on their foundational platform, which powers a wide array of projects and provides scalable, reliable services for internal and external customers. You'll play a key role in ensuring the seamless operation and management of our cloud infrastructure, with a focus on the foundational layer that supports machine learning and AI-powered solutions.

Roles and Responsibilities

• \tYou will oversee the GCP environment, including Google Kubernetes Engine (GKE) and related services, to ensure reliable operations across the platform.

• \tYou will design, implement, and maintain fault-tolerant applications within the cloud to support both internal and customer-facing applications.

• \tYou will establish and maintain monitoring and alerting solutions for the platform to ensure high availability, scalability, and security.

• \tYou will proactively identify and troubleshoot issues within GCP infrastructure to minimize downtime and ensure optimal performance.

• \tYou will develop and maintain CI/CD pipelines, manage database configurations, and maintain a stable foundation layer for multiple applications leveraging the platform.

• \tYou will automate deployments and optimize processes to support continuous integration, delivery, and deployment workflows.

• \tYou will ensure low-latency, high-throughput performance of deployed ML models, with a focus on scalability and efficient training/inference processes.

• \tYou will collaborate with data science teams to maintain and scale models, monitor model performance, and ensure robust model management practices.

Requirement

• \t3+ years of experience in DevOps, with expertise in CI/CD pipelines, cloud deployments, and foundational platform support for applications

• \tStrong proficiency in GCP, including experience with GKE, monitoring, alerts, and cloud-based full-stack applications

• \t1+ years of AI Ops experience, including training and managing ML models, optimizing inference, and ensuring scalable, high-performance models

• \tHands-on experience with e-commerce or recommendation systems

• \tExperience with Generative AI solutions in real-world applications

No Recruitment Agency needed.