AI Observability Engineer

2 hours ago

Atlanta, GA, USAMid Level

H1B sponsor

Responsibilities

Design, deploy, maintain, and optimize enterprise observability platforms for monitoring, logging, tracing, alerting, and performance management.
Develop dashboards, KPIs, service-health metrics, anomaly detection, event correlation, capacity forecasting, and predictive monitoring capabilities.
Automate operational processes, alert management, health checks, incident response, remediation, and self-healing workflows using scripting, orchestration, and infrastructure-as-code tools.
Build and integrate AI and agentic AI solutions that analyze alerts, retrieve operational context, recommend actions, and execute approved remediation workflows.
Develop AI-assisted runbooks, knowledge bases, AI-powered chatbots, and retrieval-based operational systems to reduce manual intervention and improve MTTR.
Collaborate with application, SRE, cloud, platform, engineering, and operations teams to improve performance, reliability, scalability, and operational efficiency.
Participate in on-call support and major incident management activities as needed.

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
At least 3 years of experience in observability, Site Reliability Engineering, infrastructure engineering, or operations engineering.
Strong experience with monitoring, logging, tracing, and performance management platforms.
Proficiency in Python, PowerShell, Bash, or similar scripting languages for automation and API integrations.
Experience with Microsoft Azure, AWS, or Google Cloud.
Knowledge of CI/CD pipelines, infrastructure as code, Terraform, Bicep, ARM, and DevOps practices.
Experience developing automation workflows and integrating observability platforms with cloud services and operational tools.
Familiarity with AI-assisted engineering practices and Copilot-enabled development workflows.
Strong analytical and troubleshooting skills.
Preferred experience includes Microsoft Copilot, Azure OpenAI, Copilot Studio, Azure AI Services, LangChain, Semantic Kernel, agentic AI frameworks, AIOps platforms, machine learning concepts, OpenTelemetry, distributed tracing, Kubernetes, containers, cloud-native monitoring, automated remediation, AI agents, RAG architectures, vector databases, prompt engineering, and AI governance.

Offers of employment are conditional upon passage of screening criteria applicable to the job.

10,000+ employees

NCR has separated into two separate and distinct companies: @NCRVoyix and @NCRAtleos.