Senior MLOps Engineer
MUFG Investor Services7 hours ago
Dublin, IrelandSenior
Responsibilities
- Design, deploy, and maintain AI agents on Agent Core MCP servers and MCP gateways.
- Build and operate secure, highly available, scalable, and cost-optimized infrastructure for AI workloads.
- Implement observability for logs and traces using OpenTelemetry and Datadog.
- Provide infrastructure and deployment support to AI researchers, data scientists, and engineering teams.
- Perform load testing, token cost measurement, resource optimization, and platform troubleshooting.
- Facilitate external vulnerability assessments, support security compliance, and assist with external audits.
- Contribute to DevOps workflows, deployment automation, and infrastructure processes.
- Evaluate third-party products for hosting AI agents and enhancing project capabilities.
- Maintain platform architecture and process documentation.
- Develop automation scripts with the AWS Boto3 SDK to deploy, test, and validate platform components across environments.
- Use Terraform to provision and manage cloud resources consistently and at scale.
Requirements
- At least 5 years of experience in platform engineering or DevOps.
- Deep understanding of DevOps principles, workflows, and best practices.
- Proven experience in platform engineering and full-stack development.
- Proficiency in API design and integration.
- Hands-on experience with AWS services.
- Familiarity with OpenTelemetry, Datadog, and observability tooling.
- Strong coding skills in Python, Node.js, or Go.
- Knowledge of microservices, Kubernetes/EKS, container orchestration, and cloud-native architectures.
- Extensive knowledge of security practices, cost optimization, and performance testing.
- Interest in and familiarity with MCPs, the Model Context Protocol, and AI agent frameworks.
- Preferred experience with AI/ML platforms or deploying AI agents in production.
- Preferred exposure to high-scale distributed systems, cloud infrastructure, observability, and monitoring for complex systems.
- AWS certifications are preferred.
Benefits
- Hybrid working arrangement.
- Opportunity to work on a high-visibility project involving AI technologies.
- Collaboration with leading experts across AI engineering, data science, and other technical teams.
- Opportunity to work at MUFG Investor Services, a division of Mitsubishi UFJ Financial Group.
- Equal opportunity employer.