Sre

SRE Engineer MLOps & Arize AI Location: Malvern, PA - 100% Onsite Duration: 6 Months Experience: 6 8 Years Candidates with a combination of strong AWS SRE + MLOps + Arize AI/ML observability experience are strongly preferred.

Job Description

We are seeking an experienced SRE Engineer with strong MLOps and AI observability experience , particularly with Arize AI . The ideal candidate will have hands-on expertise in AWS, Kubernetes, monitoring, incident management, reliability engineering, and ML/LLM platform operations.

Must-Have Skills

• AWS: EC2, EKS, ECS, Lambda, CloudWatch, SNS, SQS, EventBridge
• Arize AI: AI/ML model monitoring, performance monitoring, drift detection, evaluation analytics, and LLM observability
• Strong SRE experience with SLI/SLO definition, error budgets, reliability engineering, resilience, and uptime management
• Kubernetes / EKS
• MLOps / ML platform operations
• Python scripting
• Monitoring and observability using CloudWatch, Grafana, and Prometheus
• Incident management, RCA, problem management, and MTTR reduction
• Terraform and infrastructure automation
• CI/CD pipelines using GitHub Actions or Jenkins.

Education & Experience

10 years of experience in SRE, DevOps, Cloud Engineering, MLOps, or related roles . Strong hands-on AWS cloud experience. Experience supporting AI/ML platforms and MLOps environments . Experience with Arize AI or comparable AI/ML observability platforms is highly preferred. Strong understanding of reliability engineering, monitoring, incident management, automation, and cloud-native technologies. Excellent troubleshooting, communication, and problem-solving skills.

For applications and inquiries,