Senior CloudOps

⚙️ Senior CloudOps, MLops Infrastructure Engineer Job Description ⚙️Join Rapid7: Secure the Future with AIOverviewWe are seeking an experienced and highly specialised Senior MLops Infrastructure Engineer to manage, automate, and secure our production cloud infrastructure and Machine Learning (ML)/Large Language Model (LLM) operational pipelines. This role is strictly focused on the operations and infrastructure that support our data science and engineering teams—it is not a data science or core LLM development position.Key Responsibilities and Required ExpertiseThe successful candidate will be an expert in all the following areas, driving high availability, scalability, and security.I. Cloud Infrastructure & Automation- Infrastructure as Code (IaC): Deep expertise in managing and provisioning infrastructure using Terraform. - Containerization & Orchestration: Advanced deployment, scaling, and management of services using Docker/Kubernetes. - Networking & Services: Architecting and maintaining high-performance API Layers & Microservices. - AWS CloudOps: Expert proficiency in AWS operational services, including EventBridge and Step Functions, for building robust automation flows. - Data Storage: Managing and optimizing critical AWS data services, including S3, DynamoDB, Redshift, and Kinesis.II. MLOps Tooling & Monitoring- ML/LLM Tooling Support: Provide and maintain the operational infrastructure for ML/LLM systems, including Model Registry/Versioning tools like MLflow/SageMaker. - Pipeline Automation (CI/CD): Designing and implementing robust CI/CD pipelines for ML/LLM deployments using tools like GitHub Actions/Jenkins. - Model Operations: Building the infrastructure to support Drift Detection & Retraining capabilities. - Monitoring & Alerting: Implementing comprehensive observability stacks using Prometheus/Grafana/CloudWatch. - Incident Management: Leading resolution efforts for production issues, including expertise with PagerDuty and On-call responsibilities.III. Security & Compliance (FinOps)- Cloud Security: Establishing and enforcing strong security policies and best practices across the cloud environment (IAM, VPC, Secrets). - AWS Security Services: Expert knowledge and application of specific AWS security tools like IAM, KMS, and Secrets Manager. - Cost Optimization: Leading initiatives for Cost Optimization (FinOps), balancing performance and efficiency across all cloud resources.