Consultant

This role is for an AI Operations Support Engineer within a centralized team focused on maintaining the reliability of enterprise AI platforms (Azure and AWS) through automation.1

Key Responsibilities Include Incident Management: Performing L2 troubleshooting for incidents not resolved by existing automation. Automation Development: Writing Python scripts and building "self-healing" utilities to reduce repetitive tasks. Technical Operations: Supporting Kubernetes-based workloads (Kubeflow, ArgoCD) and managing observability stacks (Grafana, Prometheus). AI Integration: Leveraging "vibe coding" (AI-assisted development tools like GitHub Copilot) to accelerate development and debugging. Operations & Strategy: Collaborating with L1 operators, contributing to root-cause analysis, and managing tickets via ServiceNow.

Core Requirements Education: Degree in Computer Science or a related quantitative field. Technical Proficiency: 2–3 years of Python experience, demonstrable Kubernetes skills, and experience with Infrastructure as Code (IaC). Mindset: A hybrid developer-engineer approach, emphasizing proactive automation over reactive support. Soft Skills: Strong communication, resilience, and a collaborative team player.

Desirable Additions Experience with Agentic AI bot development (e.g., LangChain) and CI/CD pipelines. Familiarity with ITSM processes and cloud environments (Azure/AWS).