Senior MLOps Engineer
MUFG Investor Services2 months ago
Dublin, IrelandSenior
Responsibilities
- Design, deploy, and maintain AI agents on Agent Core MCP servers and MCP gateways.
- Build and maintain 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 audits, and maintain security and architecture documentation.
- Contribute to DevOps workflows, CI/CD pipelines, and automation for AI deployments.
- Evaluate third-party products for hosting AI agents and enhancing project capabilities.
- Develop automation scripts with the AWS Boto3 SDK to deploy, test, and validate platform components across environments.
- Implement Terraform-based Infrastructure as Code to provision and manage cloud resources.
Requirements
- 5+ years of experience in platform engineering or DevOps.
- Strong 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 and familiarity with OpenTelemetry, Datadog, and observability tooling.
- Strong coding skills in Python, Node.js, Go, or comparable backend and automation languages.
- Knowledge of microservices, Kubernetes/EKS, container orchestration, and cloud-native architectures.
- Extensive knowledge of security practices, cost optimization, and performance testing.
- Familiarity with MCPs, Model Context Protocol, and AI agent frameworks.
- Preferred experience includes AI/ML platforms, production AI-agent deployment, high-scale distributed systems, cloud infrastructure, observability and monitoring, and AWS certifications.
Benefits
- High-visibility project with opportunities to work with cutting-edge AI technologies and leading experts.
- Collaborative culture with connected teams, innovation focus, and client focus.
- Equal opportunity employer.