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Fulltime Observability Jobs in Raleigh, NC (NOW HIRING)

eClerx

Site Reliability / DevOps Engineer

Raleigh, NC

$120K - $137K/yr

Raleigh, North Carolina, US Type: Full-time Department: BFSI Job Summary eClerx is seeking a motivated SRE/DevOps Engineer with strong observability experience to join our growing Platform ...

eClercx

Site Reliability / DevOps Engineer

Raleigh, NC · On-site

$120K - $137K/yr

Raleigh, North Carolina, US Type: Full-time Department: BFSI Job Summary eClerx is seeking a motivated SRE/DevOps Engineer with strong observability experience to join our growing Platform ...

Bitovi

AI Automation Engineer V

Durham, NC · Remote

$126K - $244K/yr

This is a full-time role with Avalara, offering a fully remote work arrangement. What Your ... Implement observability, monitoring, and performance measurement practices for both traditional and ...

Bitovi

AI Automation Engineer V

Durham, NC · On-site +1

$126K - $244K/yr

This is a full-time role with Avalara, offering a fully remote work arrangement. What Your ... observability, monitoring, and performance measurement practices for both traditional and AI-driven ...

Northern Base

AI Solution Lead

Cary, NC · On-site

Cary, NC (Onsite) Employment Type: Full-Time Visa Type: USC / GC Only ✅ Must-Have Qualifications ... automated testing, observability, monitoring, and Service Level Objectives (SLOs) ✔ Strong ...

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AI Solution Lead in Cary, NC (Fulltime, Onsite)

Northern Base

Cary, NC • On-site

Full-time

Posted 24 days ago

Job description

AI Solution Lead
Cary, NC
Fulltime, Onsite
 
Must Have Technical/Functional Skills
•  13+ years of experience with IT
• Build and productionize cloud native backend services and AI/LLM inference pipelines.
•  
• Design and develop Python-based APIs and microservices (FastAPI, async patterns) and agentic AI workflows using LangChain/LangGraph.
•  
• Implement and optimize LLM capabilities including embeddings, RAG, vector search, prompt/context engineering, and model versioning.
•  
• Package, serve, and monitor models for real-time and batch inference, ensuring operational readiness and performance.
•  
• Build event driven, resilient integrations and containerized services, with hands-on Kubernetes debugging and Helm-based deployments.
•  
• Establish observability, SLOs, CI/CD automation, testing
•  
• Apply strong systems design principles (concurrency, caching, reliability, rate limiting) and robust data engineering practices.
•  
• Cloud exposure preferred (Azure/AKS, managed services), with bonus experience in performance tuning, frontend collaboration, and model governance/monitoring.
Roles & Responsibilities
•  Build and productionize cloud native backend services and AI/LLM inference pipelines.
•  
• Design and develop Python-based APIs and microservices (FastAPI, async patterns) and agentic AI workflows using LangChain/LangGraph.
•  
• Implement and optimize LLM capabilities including embeddings, RAG, vector search, prompt/context engineering, and model versioning.
•  
• Package, serve, and monitor models for real-time and batch inference, ensuring operational readiness and performance.
•  
• Build event driven, resilient integrations and containerized services, with hands-on Kubernetes debugging and Helm-based deployments.
•  
• Establish observability, SLOs, CI/CD automation, testing
•  
• Apply strong systems design principles (concurrency, caching, reliability, rate limiting) and robust data engineering practices.
•  
• Cloud exposure preferred (Azure/AKS, managed services), with bonus experience in performance tuning, frontend collaboration, and model governance/monitoring.