CRC

Machine Learning Engineer building the foundation of a growing ML function, from production models and data pipelines to MLOps frameworks and monitoring. The role combines hands-on engineering with strategic influence, team building, and mentoring.

Lead the enterprise site reliability and observability strategy across Azure and application platforms, using Dynatrace, ServiceNow, and automated remediation to improve reliability. The role provides technical leadership for monitoring architecture, alerting, incident response, and self-healing operations.

Build automation and reusable tooling that modernizes workplace operations across endpoint management, application deployment, provisioning, remediation, and self-service. This role integrates Microsoft, Azure, and DevOps platforms to improve deployment speed, support efficiency, compliance, and employee experience.

Hands-on DevOps and cloud infrastructure role focused on improving CI/CD pipelines, Terraform automation, and deployment reliability. The position partners with engineering and platform teams to troubleshoot delivery systems and strengthen governance across cloud environments.

Build and deploy complex full-stack software solutions centered on generative AI, large language models, and cloud-based applications. This hybrid role combines hands-on engineering with system integration, production monitoring, security controls, and technical leadership.