Cloud DevOps Engineer - Agent Development Platform (AWS)

Roche is a healthcare company focused on preventing, stopping, and curing diseases. The role is within the Agent Development Portal team, supporting AI agents and automation workflows on AWS cloud infrastructure.

• Strong experience with AWS cloud services (e.g., EC2, Lambda, S3, IAM, API Gateway, VPC).
• Experience implementing Infrastructure as Code using Terraform, AWS CDK, or CloudFormation.
• Experience building and maintaining CI/CD pipelines (GitLab CI, GitHub Actions, Jenkins, or similar).
• Experience with containerization technologies such as Docker and container orchestration (e.g., Kubernetes).
• Proficiency in scripting or programming languages such as Python, Bash, or JavaScript.
• Experience with monitoring and observability tools (CloudWatch, Prometheus, Grafana, etc.).
• Strong troubleshooting and problem-solving skills.

Nice to have:

• Experience supporting AI/ML platforms or LLM-based applications.
• Familiarity with RAG architectures, vector databases, or AI agent systems.
• Experience managing data pipelines and knowledge ingestion infrastructure.
• Understanding of MLOps or AI deployment pipelines.
• Experience working in regulated or enterprise environments.

Cloud Infrastructure & Platform Engineering:

• Design, deploy, and manage scalable infrastructure on AWS to support the Agent Development Portal.
• Ensure platform availability, reliability, and security across development and production environments.

Infrastructure as Code:

• Implement and maintain infrastructure using Infrastructure as Code (Terraform, AWS CDK, or CloudFormation).
• Automate provisioning, configuration, and environment management.

CI/CD & DevOps Automation:

• Develop and maintain CI/CD pipelines to support automated build, test, and deployment workflows.
• Enable efficient deployment of AI services, backend components, and platform updates.

AI Platform & Data Integration:

• Support infrastructure for AI applications, agent workflows, and RAG-based systems.
• Enable secure connectivity between AI services, enterprise data sources, and APIs.

Monitoring & Observability:

• Implement monitoring and logging using tools such as AWS CloudWatch, Prometheus, Grafana, or similar platforms.
• Track system performance, reliability, and operational metrics.

Security & Compliance:

• Implement cloud security best practices, including IAM policies, secrets management, and network security.
• Ensure the platform complies with enterprise security and governance requirements.

Developer Platform Enablement:

• Provide tooling and automation that improves the developer experience on the Agent Development Portal.
• Collaborate with engineering teams to streamline platform onboarding and deployment processes.