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Senior MLOps Engineer
MUFG Investor Services
London, GBR
Full-time
Senior · 5+ years experience
Onsite
Discovered 2 weeks ago
Agent Core MCPMCPOpenTelemetryDatadogAWS Boto3 SDKTerraform
Free
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Agent Core MCPMCPOpenTelemetry
Key Skills for This Role
Agent Core MCPMCPOpenTelemetryDatadogAWS Boto3 SDKTerraform
Full Job Posting
You Will
Design, deploy, and maintain AI agents on Agent Core MCP servers and MCP gateways.
Implement and manage observability using OpenTelemetry for logs and traces, integrating with Datadog.
Ensure security, high availability, and cost optimization across all AI platform components.
Provide infrastructure and deployment support to AI researchers and engineering teams, enabling integration of cutting-edge technologies into production.
Perform load testing, token cost measurement, and optimize resource utilization.
Facilitate external vulnerability assessments and ensure compliance with security best practices.
Troubleshoot and resolve platform issues promptly to maintain operational stability.
Contribute to DevOps workflows, CI/CD pipelines, and automation for AI deployments.
Support evaluation of third-party products related to hosting AI agents or enhancing project capabilities.
Assist in external audits and maintain documentation for platform architecture and processes.
Develop and execute automation scripts using the AWS Boto3 SDK to deploy, test, and validate AI platform components across multiple environments.
Implement Infrastructure as Code (IaC) using Terraform to provision and manage cloud resources for AI workloads, ensuring consistency and scalability.
You Have
5+ Years of experience in Platform Engineering / DevOps practice
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.
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