Job Description:
We are seeking an experienced and highly specialized Senior CloudOps 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 supports our data science and engineering teams-it is not a data science or core LLM development position.
Key Responsibilities and Required Expertise
The 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.
Top Skills
What the Team is Saying
What We Do
At Rapid7, our vision is to create a secure digital world for our customers, our industry, and our communities. We do this by harnessing our collective expertise and passion to challenge what’s possible and drive extraordinary impact. We’re building a dynamic and collaborative workplace where new ideas are welcome.
Protecting 11,000+ customers against bad actors and threats means we’re continuing to push the envelope - just like we’ve been doing for the past 20 years. If you’re ready to solve some of the toughest challenges in cybersecurity, we’re ready to help you take command of your career.
Join us.
Why Work With Us
With our products, research, and open source communities, we’re building a secure digital future for everyone. This means constantly learning and evolving in an industry that’s anything but stagnant. You’ll be faced with tough challenges, and given the support to find creative solutions that drive our business, and your career forward.
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Rapid7 Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Our default working model is hybrid, with employees working three days per week in the office. This approach underpins our commitment to flexibility and adaptability while supporting our dedication to development, teamwork and customer purpose.
